Stable Diffusion v1.4 is a widely adopted open-source text-to-image AI model, enabling builders to create new products or services around automated image generation. Its popularity signals strong demand and opportunity for monetization.
Ever wondered how AI turns your words into stunning images? Meet Stable Diffusion v1.4, the open-source text-to-image model that's been downloaded nearly half a million times. It's not just a tool, it's a creative revolution that lets anyone become a digital artist.
GLM-5.1, an MIT-licensed open-weight model, outperformed top closed-source models on SWE-Bench Pro, signaling a major leap for open-source AI. Builders can now leverage state-of-the-art capabilities without licensing restrictions.
Wow, GLM-5.1 beat Opus 4.6, GPT-5.4, and Gemini 3.1 Pro on SWE-Bench Pro (58.4 vs 57.3 / 57.7 / 54.2) as an open-weight MIT-licensed model!
The โopen-source AI vs closed-source AIโ gap is still ~6 months.
New AI-powered bots automate Polymarket trading and memecoin research, enabling hands-off trading strategies and timely alerts. Builders can leverage these tools to generate passive income or offer automated trading services.
NEW TOOLS NOW IN STOCK
- custom polymarket bot
Fully automated , just fund , set your strategy and it keeps trading
+ Proxy ban bypass
- memecoin research bot
Scans for new narratives + volume get alert
Not automated due to possibility of rugs and manipulation
A single-command AI agent fully automates trading, from news scanning to live P&L updates, enabling hands-off income generation. Builders can leverage or replicate this workflow to create automated trading products or services.
I gave an AI agent one command:
โRun my trading workflow.โ
Minutes later it was scanning news, placing trades, hedging risk, and sending live P&L updates straight to my WhatsApp.
No charts.
No manual trades.
I barely touched a thing.
Hereโs the exact setup + workflow
A new tool lets users create AI agents from just one prompt, and these agents are reportedly trading more effectively than humans. Builders can leverage this to automate trading or other tasks for recurring, hands-off income.
lol
we've shipped a tool allowing users to build an ai agent from a single prompt and most are trading a lot better than their human counterparts
PokeeClaw is a robust AI agent platform featuring RL-powered tool selection and secure sandboxing, enabling builders to automate complex workflows across 1,000+ integrations. This can help entrepreneurs streamline operations or deliver automated services at scale.
PokeeClaw is a different beast.
Enterprise-grade AI agent platform. 1,000+ integrations. RL-powered tool selection. Secure sandbox.
I test AI agents constantly for this newsletter. Most are demos. This one justโฆ did the work.
Founder reports $5,747 MRR (+186%) from AI-built SaaS products created entirely with Claude, without writing code. Demonstrates the potential for solo builders to launch and scale automated, AI-powered income streams.
$5,747 MRR. Up 186% from last month.
Built with Claude Code and Claude Opus 4.6.
I didn't write a single line of code.
Every feature. Every bug fix. Every deployment.
All vibe coded.
ViewCreator v2 just launched.
BridgeSpace growing.
BridgeBench expanding.
The
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no-codeAI SaaSClaudeautomationMRR
write a newsletter/blog about itpost about it on Xrecurring
Claw Code, an AI agent inspired by Claude Code, has rapidly gained traction and is now open source. Builders can leverage this blueprint to create advanced coding agents or products, unlocking new automation and SaaS opportunities.
Everyone is sleeping on this new AI agent story
Claw Code hit 171,000 GitHub stars fast
It copied the Claude Code architecture idea
Now the blueprint is FREE for everyone
This changes coding forever.
Link in the comments
The tweet highlights a timely opportunity: building interactive AI tools (like roof estimation calculators) for home service websites can drive leads and automate client acquisition. Builders can quickly create and sell or license these tools to service companies, generating recurring revenue.
The home service companies that will dominate the next 5 years are the ones building interactive tools on their website right now. You do not need a developer. You need an afternoon and an AI tool. Here is what to build:
Roof estimation calculator. A homeowner types in their
A new autonomous AI agent scans Base wallets and tokens 24/7 to spot early opportunities before the wider crypto community. Builders can leverage or integrate such agents to automate alpha discovery and potentially monetize early token alerts.
An AI agent on
@base
is scanning wallets and tokens 24/7
@BasedJaider
just shipped the tool
@TrencherAIBot
is an autonomous AI agent hunting early tokens on Base
before CT finds out.
Would you have faded
@Altcoinist
signal bot at 30K ?
Goose is a high-profile, Apache 2.0 licensed local AI agent framework with 33,500+ GitHub stars. Builders can fork, extend, or commercialize it to create AI-powered products or services.
33,500+ stars on GitHub.
Apache 2.0 license.
built by Block.
the local AI agent devs have been waiting for.
github.com/block/goose
A curated list of open-source GitHub repos for automated trading on Polymarket, including agent frameworks and dashboards. Builders can fork, extend, or integrate these tools to launch new trading bots or analytics products.
8 GitHub repos for trading on Polymarket
fully open-source, zero cost to get started
1.Polymarket Agents:
github.com/Polymarket/age
โฆ
Official AI agent framework - news ingestion, LLM integration, auto trading
2.BTC Dashboard:
github.com/txbabaxyz/poly
โฆ
Records data from
A builder used Opus 4.6 to create a cognitive framework that enables GPT-5.4 to match Opus-level performance, then tested both on designing an autonomous Polymarket trading agent. This demonstrates a method for automating trading strategies, potentially enabling passive income streams.
I had Opus 4.6 engineer its own replacement
Last Night I built a "cognitive framework" that made GPT-5.4 match Opus-level output.
Today I ran both head-to-head on a real task: designing an autonomous Polymarket trading agent.
Before vs After:
GPT-5.4 baseline:
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AI agentstradingautomationpassive incomeGPT-5.4
write a newsletter/blog about itpost about it on Xaudience building
This tweet shares prompts that let anyone use Claude to write and design a full book in 48 hours, enabling rapid creation of publishable content. Builders can leverage this to automate book publishing and generate passive income with minimal manual effort.
BREAKING: Claude can now write & design a full book in 48 hours.
Here are 9 prompts that turn beginners into published authors in 10 days.
Bookmark this before itโs everywhere
Infinit Labs lets users create DeFi strategies in plain English, executed by AI agents on-chainโno coding required. Builders can leverage this to automate and monetize DeFi strategies for passive income.
i've been a verified strategist on
@Infinit_Labs
for a while now.
here's what most people don't realize:
> you don't need to code. you don't need to know Solidity. you write a DeFi strategy in plain English and AI agents execute it on-chain.
i built strategies all from a
OpenMontage is a new open-source system for orchestrating full video production workflows using AI agents and 49 tools, enabling ultra-cheap, automated content creation. Builders can fork, extend, or offer services/products on top of this stack.
An open-source agentic video production system just dropped -- 11 pipelines, 49 tools, and a full product ad produced for $0.69 total.
It's called OpenMontage. And it's not a text-to-video tool.
It's a full production orchestration system where your AI coding assistant --
Airi is a self-hosted, open-source AI companion that plays Minecraft with you in real-time, featuring voice chat and customizable avatars. Builders can fork or extend this project to create new products or services for the massive Minecraft community.
This might be the wildest open-source project I've ever seen, an AI companion that plays Minecraft with you in real-time.
It's called Airi.
Self-hosted. You own it. Real-time voice chat. VRM and Live2D avatars. And it's already at 37.2K stars on GitHub.
Here's why it's
A massive leak of 30,000+ lines of system prompts for leading AI agents like Cursor, Devin, and Perplexity reveals how these tools think and operate. Builders can study, fork, or extend these prompts to create new AI-powered products or services.
cursor...windsurf...devin... lovable...v0...perplexity
someone leaked the full system prompts of all of them
30,000+ lines of how these tools actually think, plan, and respond behind the scenes
The ai internet went feral over this one
github.com/x1xhlol/system
โฆ
China has launched CoPaw, a fully open-source agent framework that runs locally, supports free models, and offers long-term memory. Builders can fork, extend, or build businesses on top of this robust, self-hosted AI agent stack.
BREAKING: China just dropped an open-source agent framework.
CoPaw rivals OpenClawโฆ but runs locally.
โ works with free models (Qwen 3.5)
โ long-term memory
โ runs via Ollama
โ fully self-hosted
100% open-source.
A new GitHub repo automates turning written stories into short videos with character consistency, addressing a key gap in current AI video tools. Builders can fork, extend, or productize this pipeline for content automation businesses.
Someone just dropped a GitHub repo that turns a written story into a short video using a multi-agent pipeline.
Script, character design, storyboards, then video, in sequence. Character consistency built in from the start (that's the part most AI video tools skip).
Built on
Citadel is a new open-source OS that lets you orchestrate 198 AI agents like an engineering org, not just chatbots. Builders can fork, extend, or build products/services on top of this robust codebase.
One developer. Zero funding. 668K-line codebase. 198 AI agents orchestrated across 32 parallel sessions.
I built Citadel, an open-source OS that makes AI agents work like an engineering organization, not a chatbot. 450+ stars and 900+ clones in two weeks, no launch strategy, no
This setup details how to run a multi-model AI agent pipeline locally with persistent memory for just $15-35/month, enabling builders to automate complex workflows affordably. It's a practical blueprint for deploying powerful AI automations without high cloud costs.
The setup: OpenClaw as the agent framework, ClawRouter for model routing (Gemini Flash for simple tasks, Claude Sonnet for complex ones),
OpenViking for persistent memory.
All running locally on a $600 Mac Mini. Monthly API cost after optimization: $15-35.
A widely-starred, free playbook details how to build production-ready GenAI agents using open-source tools like LangGraph, Redis, and Docker. Builders can fork, extend, or use this as a foundation for launching their own AI-powered products.
18,600 developers starred this.
A free, open-source playbook for building GenAI agents that actually ship.
Agents Towards Production covers every layer:
โ Stateful workflows with LangGraph
โ Vector memory with Redis and Mem0
โ Real-time web search with Tavily
โ Docker
This tweet shares a detailed AI and Python workflow that enables a solo builder to operate at the scale of a full team, automating tasks and boosting productivity. It's highly relevant for entrepreneurs seeking to streamline operations and scale without hiring.
My manager thought I had a team.
I was alone.
Here's the exact AI + Python workflow that
made me look like 5 developers
(Save before your team finds it )
Agent-browser lets AI interact with websites as a real user wouldโopening pages, clicking, and filling forms. Builders can fork or extend this to automate web tasks or power new products.
What if AI could use your browser like a human?
This open-source project from Vercel makes it possible
Itโs called agent-browser
It lets AI open websites, click buttons, fill forms, and navigate pages
just like a real user
Hereโs what you get out of the box:
โ Control a
Netflix released an open-source model that removes objects from video while simulating realistic physics, now available on Hugging Face. Builders can leverage this to create new video editing tools or services with advanced capabilities.
Netflix just open-sourced a model that removes objects from video - including the physics of what happens after they are gone.
Not just pixel fill. Gravity, collisions, motion trajectories, chain reactions.
And they put it on Hugging Face for anyone to use.
This is the new
daVinci-LLM has open-sourced a 3B parameter model with performance comparable to 7B models, plus full training data, pipelines, and ablation studies. Builders can leverage or extend this model for new AI products or services.
daVinci-LLM fully open-sources 3B model matching 7B performance
Trained from scratch on 8T tokens with complete data pipelines, training processes, and 200+ ablations released on Hugging Face. The Data Darwinism framework proves systematic L0-L9 processing depth rivals parameter
Netflix has open-sourced VOID, a powerful video object and interaction deletion model, on Hugging Face. Builders can leverage this tech to create new video editing tools or services, tapping into a high-demand market for automated video manipulation.
Netflix's first public model, releases VOID on Hugging Face for video object and interaction deletion using quadmask conditioning on its 5B parameter CogVideoX base with two checkpoints available.
The model is trained on synthetic physics data from HUMOTO and Kubric sources and
A PhD researcher released 8 open-source AI agents that automate note-taking, inbox triage, and more in Obsidian, replacing multiple productivity tools. Builders can fork, extend, or productize this for multilingual markets.
Delete Notion. Delete your note-taking app. Delete your inbox triage tool.
A PhD researcher just replaced all of them with 8 AI agents that manage your Obsidian vault while you sleep.
100% open source. Works in any language.
You talk. The crew does the rest:
- Architect
ValeoProtocol's new npm package lets AI agents independently manage payments, credit, and budgets. Builders can now automate financial operations in their AI products, enabling new business models and reducing manual overhead.
AI agents just leveled up, they now have their own financial system
@ValeoProtocol
just launched valeo-mcp/server, an npm package that allows AI agents to independently handle payments, take credit, track expenses, and manage budgets. Built with :
- x402 for smooth,
This strategy shows how to build an MCP server so your tool appears as an answer when users ask AI models like Claude or ChatGPT, turning the AI into an automated sales channel for your product. It's a direct way to generate recurring, passive income by integrating with AI assistants.
Here are all the strategies:
1. BUILD AN MCP SERVER
When someone asks Claude or ChatGPT the question your product answers, your tool shows up automatically.
The AI becomes your sales team.
Example:
User: "What's the best way to analyze backlinks?"
Claude: "Let me use the
GLM-5.1, a top-tier open weights language model, is now available on Hugging Face. Builders can leverage or extend this model to create new AI-powered products or services.
GLM-5.1 weights are on Hugging Face - probably the best open weights model in the world right now :)
huggingface.co/zai-org/GLM-5.1
GLM-5.1 is a new AI coding assistant rivaling Claude Opus in code generation and bug fixing, but at a fraction of the price. Builders can leverage this tool to automate coding tasks, accelerate product development, or power new SaaS offerings.
GLM-5.1 is out
And here is what you need to know
Zai built an AI that codes almost as good as Claude Opus (the one people pay $200/month for )
and priced it at $3
What it does
โ Writes and fixes code on its own without you babysitting it
โ Can work on a single task for
A guide to consolidating multiple SEO tasksโkeyword research, rank tracking, SERP analysis, and moreโinto a single Perplexity AI workflow, saving significant costs and streamlining content operations. Builders can leverage this to automate SEO for their own projects or clients.
I saved $2,400/year by replacing 5 SEO tools with one Perplexity AI setup.
Keyword research, rank tracking, SERP analysis, content briefs, cluster mapping - all cancelled...
You can do the same in 10 minutes.
Here is the exact tool-by-tool replacement guide.
โ
A newly open-sourced Python tool can fully automate the creation of faceless YouTube videos from Reddit links, requiring no editing, voice, or team. Builders can leverage this to rapidly launch and scale passive video channels.
BREAKING: Someone just open-sourced the exact tool powering thousands of faceless YouTube channels.
One Python script. One Reddit link. One finished video. Ready to upload.
No face. No mic. No editor. No team.
Here is what it does the second you run it:
-> Finds your
An AI-powered judge automates resolution of freelancer payment disputes on-chain, offering a way to build a trustless, low-fee alternative to platforms like Upwork. Builders can leverage this to create automated dispute resolution services that generate recurring revenue.
I built an AI-powered judge that settles freelancer payment disputes on-chain
Every freelancer has been here:
You deliver the work. The client says "this isn't what I asked for." Now it's your word against theirs.
Platforms like Upwork take 20% and still side with clients.
An open-source AI project can generate movie commentary videos in a single sentence, automating a format that currently earns creators millions. Builders can leverage this to rapidly produce content or offer automated video commentary services.
I've got a friend who makes movie commentary videos and earns 10 million a year; he's called Xiao Pian Pian Kan Da Pian, but he might get disrupted by this open-source project!
Using AI to generate a movie commentary video in one sentenceโthis Skill pulls it off.
This tweet shares free Claude AI prompts to build sales funnels modeled after Russell Brunson, plus a Hormozi-style offer generator. Builders can use these to optimize funnel conversions and create compelling offers, directly impacting revenue.
BREAKING: Claude can now architect your sales funnels exactly like Russell Brunson โ for free.
Here are 6 prompts to stop guessing why your traffic isn't converting and start building funnels that scale:
(Btw, I built a Hormozi-Style "Grand Slam Offer AI". Free link at the end
A new tool scrapes HN and Reddit for real user pain points, generating startup ideas and instant landing page promptsโenabling builders to quickly launch and test passive income projects.
maybe these ideas will make you $1k by next Friday
findstartupideas.com
I built a tool that finds startup ideas from real HN and Reddit pain points
BONUS:
gives you the landing page prompt to launch immediately
as
@andrewchen
said - consumer AI is hitting a mega
A massive repo just leaked the system prompts behind leading AI coding agents like Devin, Claude Code, and Perplexity. Builders can study, adapt, or fork these to create new coding tools or services.
BIGGEST AI "LEAK" OF 2026 JUST HIT 134K STARST
The exact system prompts behind:
โข Cursor
โข Devin AI
โข Claude Code
โข v0
โข Perplexity
โข Windsurf
โข 25+ more
Want to know how the top AI coding agents actually think?
This repo has it all.Steal them. Study them. Build
A founder replaced a costly vendor contract with a custom AI workflow using Claude API and Make, achieving similar results at a fraction of the cost. This highlights a replicable approach for automating business processes and slashing expenses.
I replaced a ยฃ55,000/year vendor contract with an internal AI system I built in under a week.
Same ticket routing, auto-replies, and QA scoring - but no lock-in and ~90% cheaper.
The vendor called it โAI-powered automation.โ
So I built it myself with Claude API + Make +
Zai's GLM-5.1, now open source under MIT, outperforms closed models and is available on Hugging Face and LM Studio. Builders can leverage this high-performing model to create new AI products or services.
Claude Opus 4.6 has lost the lead :) For the first time, an open-source model has surpassed a closed-source one.
Zai has released the GLM-5.1 model as open source under the MIT license on Hugging Face. It's also arrived on LM Studio.
The model scored 58.4 on SWE-Bench Pro,
PAW Agents is an open source AI agent framework with native Solana and smart contract support, enabling builders to create autonomous, safe, and validated workflows. This is a strong foundation for launching new AI-powered products or services, especially in the crypto space.
I built PAW Agents. an open source AI agent framework with native Solana support and a built-in smart contract language.
PAW (Programmable Autonomous Workers) turns natural language into safe, validated actions. Every action flows through a mandatory pipeline: INTENT โ PLAN โ
GLM-5.1 is a leading open source AI model excelling in software engineering and autonomous long-horizon tasks. Builders can leverage or extend it to create advanced automation products or services.
GLM-5.1 is out on Hugging Face
#1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo
Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations
model:
The release of GLM-5.1 weights as open source presents a significant opportunity for builders to create innovative AI applications or services, leveraging its superior benchmarks against competitors.
INCREDIBLE
GLM-5.1 weights are now opensource
> iโve had early access to the weights for the past few days
> and yeahโฆ this one matters a lot
benchmarks?
> SWE-Bench Pro: 58.4
> beats Opus 4.6 (57.3)
> beats GPT-5.4 (57.7)
> beats Gemini 3.1 Pro (54.2)
let that sink in
VidLens is a free, open source tool that analyzes visual content in YouTube videos, not just audio. Builders can leverage this to create new products or services that extract, summarize, or repurpose video visualsโunlocking unique automation and monetization angles.
Most YouTube tools for AI can read what was SAID in a video.
I built one that can see what was SHOWN.
VidLens โ 41 tools, free, open source.
Meta's release of Llama 3.1 70B offers builders a powerful, open-source language model for text generation. Entrepreneurs can leverage it to create new AI-powered products or services without proprietary restrictions.
Meet Llama 3.1 70B, a massive open-source language model that's got everyone talking. It's a text-generation powerhouse designed to understand and create human-like text. Think of it as a super-smart writing and reasoning engine, now available for developers to build upon.
Fetchr lets you list your AI agent for $5, with an automated review process and placement alongside top agents. This offers builders a low-barrier way to monetize their AI tools and generate recurring revenue.
if you are building an ai agent, or a tool
you should check out fetchr
we let you list your ai agents only for $5 via bankr x402
you pay the agentic fees -> submit the form -> AI reviews it for authenticity -> you list beside all the top agents
and the crazy part is, you can
Dify is a high-starred open source repo that streamlines building AI apps by eliminating the need for complex glue code, letting builders launch products faster. This is valuable for entrepreneurs looking to rapidly prototype or deploy AI-powered solutions.
This repo just crossed 136,000 stars on GitHub. It is arguably the fastest way to ship an AI app right now.
Dify lets you bypass writing 1,000+ lines of glue code.
Instead of manually stitching LangChain, FastAPI, and 5 other tools together, here is what it handles out of the
LibreChat offers a self-hosted AI chat platform that consolidates multiple AI models, allowing builders to maintain control over their data and infrastructure. This can empower entrepreneurs to create customized AI solutions without reliance on third-party services.
LibreChat is a self-hosted AI chat platform that puts Claude, GPT-5, Gemini, DeepSeek, Mistral, Grok, and 50+ other models in a single interface.
You own the server. You own the data. You own the entire stack.
No middleman. No per-seat pricing. No data sent anywhere you didn't
The tweet highlights a push for fine-tuned Gemma models tailored for agentic frameworks like OpenClaw or HermesAgent, signaling new open source tools that builders can leverage or extend for agent-based automation businesses.
Hey
@googlegemma
make a specific model fine tuned for Agentic harnesses like OpenClaw or HermesAgent.
The OS community is shipping this for you guys
OpenClaw's integration with GPT-5.4 significantly improves its capabilities, making it a valuable tool for builders looking to enhance their AI projects. This advancement can streamline development processes and accelerate product launches.
OpenClaw is now really good with GPT-5.4. Peter and team cooked
A builder shares their workflow for managing many AI agents in parallel using a custom UI and 160+ custom commands, showcasing a scalable approach to automating complex tasks. This highlights how entrepreneurs can orchestrate agent-based automation for business efficiency.
I run many tasks in parallel so there's not much downtime. I built a UI where each AI agent appears as an avatar on a 2D map (Arcane Agents). I spend most of the day hopping between them assigning and reviewing work.
I've set up ~160 custom commands the agents can call to access
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AI agentsautomationworkflowcustom commandsproductivity
Graphify lets you convert any folder into a navigable knowledge graph with a single command, massively reducing token usage for LLM queries. Builders can leverage this to create smarter, more efficient AI-powered products or services.
Breaking: Andrej Karpathy described his ideal LLM knowledge base workflow and someone shipped it 48 hours later.
It is called Graphify and it just cut token usage per query by 71.5x.
One command inside Claude Code and it turns any folder into a fully navigable knowledge graph.
A large, MIT-licensed open source git wiki knowledge base for OpenClaw is being released, offering a foundation for builders to fork, extend, or integrate into their own AI-powered products or services.
My Karpathy-style git wiki knowledge base for OpenClaw got to 2.3GB and I know git limit is 5GB so my GStack autoplan skill one line prompted this spec for my upgraded GBrain with SqlLite.
This will be MIT license open source soon.
gist.github.com/garrytan/49c88
โฆ
This tweet highlights AlphaClaw, a user-friendly way to deploy OpenClaw on affordable hardware via Railway or Render. Builders can quickly spin up AI-powered tools or services, making it a strong foundation for new products or automations.
PS my favorite way to run OpenClaw easily is AlphaClaw on an 8GB box just by clicking the Railway or Render button on the README here
DeepSeek V4's impressive benchmarks against GPT-5 and Claude 4 highlight a significant advancement in AI capabilities, indicating potential opportunities for builders to leverage this technology in their products.
DeepSeek V4 reportedly outperforms GPT-5 and Claude 4 in coding and multi-document logic. Here's the leaked benchmark.
> Technical specifications.
DeepSeek V4 has a 1M token context window, which is 8 times larger than V3, and ~1 trillion parameters, compared to ~671 billion in
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The tweet highlights a high-ROI internal tool: a context layer that gives every team member an AI assistant instantly contextualized to any client repo. This approach can inspire builders to create similar dev tools or SaaS products for teams needing rapid onboarding and productivity boosts.
STOP building AI agents.
So far, the highest-ROI thing we've built at my company with AI:
The context layer.
Every team member at our company can open any client repo and get a fully contextualized AI assistant in seconds.
Here's the setup behind it:
Described the entire
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AI assistantcontextual AIdeveloper toolsproductivitySaaS
build a SaaS on top of itoffer it as a servicerecurring
Vibeyard is an open-source Electron IDE tailored for AI coding agents like Claude Code, featuring an embedded browser and instant UI inspection. Builders can leverage this tool to rapidly prototype and test AI-powered apps, speeding up development cycles.
The video shows a demo of Vibeyard, an open-source Electron IDE for AI coding agents (Claude Code, etc.). It features an embedded browser tab where you run your app locally, then click any UI element (button, text, div) to "inspect" itโClaude instantly gets the exact
A new GStack-Lite tool accelerates OpenClaw's Claude Code execution, enabling faster and more capable AI task automation. Builders can leverage this to develop smarter, more efficient AI-powered products.
It's official. GStack for OpenClaw is here. When OpenClaw has to use Claude Code to do things (and it does this all the time) suddenly it can do it with wings.
I created a special gstack-lite to keep OpenClaw tasks fast while making them think harder and get more done.
OpenClaw's coding agents are seeing explosive adoption, with 20.4T tokens used this month, signaling a major shift toward autonomous development tools and away from legacy solutions. Builders should watch this trend for new automation and SaaS opportunities.
Coding agents are winning.
OpenClaw is absolutely dominating.
Its users used 20.4T tokens this month.
Developers shifting to autonomy.
Legacy tools are dying.
Adapt or get left...
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AI agentsautomationmarket trenddeveloper tools
write a newsletter/blog about itpost about it on Xaudience building
A new open-source AI model claims to outperform leading models like Claude Pro and GPT-5.4 while being significantly cheaper, presenting a valuable opportunity for builders to leverage in their projects.
Ive been yelling this for months, there is no second best opensource model in the world.
- ~40% cheaper than Claude Pro
- 15x More Limits than Claude Pro
- SWE-Bench Pro: 58.4
- beats Opus 4.6 (57.3)
- beats GPT-5.4 (57.7)
- beats Gemini 3.1 Pro (54.2)
- GLM-5-Turbo trained
Pokee_AI is highlighted as a rare AI agent tool that balances flexibility and production reliability, making it a strong candidate for builders seeking to automate or enhance their products with agents that actually work in real-world settings.
Been deep in the AI agent space this quarter.
Most tools are either too fragile for production or too locked-down to be useful.
@Pokee_AI
is the first one Iโve tested that threads that needle.
Notes below โ
A builder fine-tuned an open-source AI model to autonomously handle research, automation, and tool calls with high accuracy, running 24/7 on a Macbook. This showcases a practical, low-cost automation pipeline that can be adapted for various business tasks.
I'm doing that already.
> took OS model
> fine tuned it on (80M dataset)
> now running 24/7 on my macbook
> with 98% accurate tool calls
> it design its own workflows
> can talk, research, automate, save
> and much more
Launching soon.
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AI agentautomationworkflowopen sourcetooling
build a SaaS on top of itoffer it as a servicerecurring
PetClaw offers a hassle-free, one-click setup for running AI agents on your desktop, eliminating the typical install and configuration headaches. This enables builders to rapidly prototype or deploy AI-powered workflows without technical barriers.
If youโve tried OpenClaw, you know the pain:
install โ break โ fix โ repeat
@PetClaw_ai
flips it.
One click.
No setup.
A working AI agent on your desktop in minutes.
AutoMemoryTools enables AI builders to add persistent, file-system-based memory to their systems, functioning like a personal Wiki for important data. This can help entrepreneurs create smarter, more context-aware AI products that retain knowledge beyond short-term memory windows.
want to give your AI systems better memory? Check out the new support for `AutoMemoryTools` which builds a durable, file-system based repository - a personal Wiki, if you will - of your important highlights and facts that endures long after your rolling window of memory moves on
Carnice-27B-GGUF, a specialized 27B Qwen3.5 model optimized for agentic workflows and advanced tool-calling, is now available on Hugging Face. Builders can leverage this open-source model to create sophisticated AI agents or integrate it into automation products.
BREAKING : CARNICE-27B-GGUF JUST DROPPED ON HUGGING FACE 27B Qwen3.5 model by
@kaiostephens
Optimized For the Hermes Agent Harness
Not regular Qwen 27B.Carnice-27B is purpose-built for elite tool-calling, rock-solid multi-step reasoning, and serious agentic workflows
An open-source project enabling you to run LLMs like ChatGPT on your own hardware. Builders can fork, extend, or productize this for privacy-focused or cost-sensitive users.
ChatGPT alternative for LLMs on your hardware
github.com/HomeIncorporat
โฆ
GLM-5.1's impressive Elo score of 1535 highlights a significant advancement in AI performance, indicating a competitive edge in the market. Builders should take note of this trend to identify opportunities for leveraging high-performing AI models in their products.
The headline result for GLM-5.1 is agentic performance. On GDPval-AA, GLM-5.1 reaches an Elo of 1535, a +128 point gain over GLM-5 (1407) and the highest score for an open weights model. Only GPT-5.4 (xhigh), Claude Sonnet 4.6, and Claude Opus 4.6 score higher
๐ 2,198 viewsโค 28๐ 3๐ฌ 2๐ 01.5% eng
AI performanceGLM-5.1Elo scoremarket trendsopportunity
A new open-source CLI tool lets you build a local AI data analyst in hours, mapping your database schema for agent/model querying. Builders can fork, extend, or offer services around this privacy-focused solution.
Oh wow, you can now build a complete AI data analyst in under a couple of hours!
100% Open-source.
It's a CLI that maps your database schema to context files, so you can use an agent or model to query your data.
All of your data stays on your computer. This is not a SaaS, and
A fully local, open source AI stack for Mac with multiple models, agents, and mobile interfaceโno subscriptions required. Builders can fork, extend, or package this stack to create unique AI-powered products or services.
I built a full AI stack on the Mac without subscriptions โ everything local.
5 models, 5 agents, a mobile interface, real tool calling, and everything open source.
This thread has all the technical details
A solo founder built RyFlow, a fully local AI productivity suite (like Notion + Obsidian) with LAN collaboration, winning 1st place at AMD Slingshot Regionals. This signals growing demand for cloudless, privacy-focused AI toolsโan emerging opportunity for builders.
Everyoneโs building AI apps on the cloud. I built one that doesnโt need it.
Won 1st place at AMD Slingshot Regionals (solo) for RyFlow.
Imagine Notion + Linear + Obsidian + NotebookLM + Docs but fully local with collaboration over LAN which scales with your needs/compute.
๐ 145 viewsโค 15๐ 0๐ฌ 3๐ 012.4% eng
local AIproductivityprivacymarket trendcollaboration
write a newsletter/blog about itpost about it on Xaudience building
A new open-source tool, MemPalace, enables local memory for AI agents, offering builders a foundation to create privacy-focused, agent-based products or services.
Milla Jovovich is apparently a vibe coder now.
A GitHub account under the name Milla Jovovich just published an open-source tool called MemPalace for AI agent memory, built together with a friend.
The idea is simple and strong: everything stays local, and the system decides
ChatGPT can automate coding, content creation, and debugging, making it a powerful tool for entrepreneurs to accelerate product development and streamline workflows.
14. ChatGPT
Your all-in-one AI assistant.
โ Write production-ready code
โ Generate LinkedIn/X content
โ Debug & explain complex logic
Pro tip: Use custom prompts + memory for best results
chat.openai.com
This tweet discusses using advanced AI models to enhance the performance of cheaper models, which can streamline product development for builders. It highlights a method to improve AI outputs, making it relevant for entrepreneurs looking to optimize their AI tools.
The best way to make cheap models work is to have big models direct them
Have an expensive model like GPT 5.4 or Opus write up a derailed spec
Use Kimi or GLM 5 to implement it.
We are observing some excellent results
This tweet highlights five new AI models optimized for Apple Silicon, which can enhance development efficiency for builders. Leveraging these tools can streamline product development and improve performance.
5 ู ูุฏููุงุช ู ุญููุฉ:
Qwen3.5 4B โ 97.5% tool calling
GPT-OSS 20B โ ุฃูู open source ู ู OpenAI
Gemma 4 26B โ ุฃุญุฏุซ ู ู Google
Opus Distilled 27B โ reasoning ู ู Claude
Gemma 4 E4B โ ุฎููู ูุณุฑูุน
ูููู MLX ู ุญุณูุฉ ูู Apple Silicon.
GLM-5, a new large language model from Zai, is now available in production for LangChain Fleet via Baseten. Builders can leverage this integration to quickly add advanced AI capabilities to their apps or workflows.
we practice what we preach --
@Zai_org
GLM-5 (via
@baseten
) now available in production for
@LangChain
Fleet!
LangChain is expanding its agent middleware ecosystem and seeking community contributions. Builders can leverage this middleware to accelerate AI product development or create new integrations.
we're building out a community middleware page for
@LangChain
, and we need your help growing it.
agent middleware is one of the most powerful building blocks we've shipped. what are you building with it?
Zai's newly released open source model offers competitive performance at a fraction of the cost, providing builders with a valuable resource to create innovative AI solutions.
There's no way
Zai has just released a new open source model which is competitive with Opus 4.6 and GPT-5.4...
And even better on some benchmarks!
- 5x cheaper than Opus 4.6
- 3x cheaper than GPT-5.4
You can even use it in Claude Code or OpenClaw.
Weights and more below
OpenDCAI's OpenW offers a unified definition and calling standard for world models, with code available for builders to use or extend. This is a strong foundation for anyone looking to build AI products or services leveraging standardized world model interfaces.
Thanks a lot for the shoutout!
If anyone is interested in a unified definition and calling standard for world models, feel free to check out our code and open an issue:
github.com/OpenDCAI/OpenW
โฆ
More training-optimized versions coming in our next project!
The latest update of Summarize introduces new features like local video slides and improved model backends, making it a valuable tool for builders looking to enhance their AI projects and streamline development.
Summarize 0.13 is out!
Local video slides (--slides)
More model backends (GitHub Copilot)
Better GPT-5.4 support
Better media handling (HLS detection.m3u8)
It graduated from my tap to official homebrew formula!
brew install summarize
n8n is a powerful open-source automation platform that integrates AI, allowing builders to create custom workflows without the high costs of traditional automation tools. This presents a unique opportunity to leverage its capabilities for building innovative solutions.
Zapier charges $69/month. Make charges $29/month. Enterprise automation agencies charge $5,000/project.
Someone built the most powerful AI automation platform on earth.
For free.
It's called n8n.
An open-source workflow automation platform with native AI built directly into
Fortytwo represents a significant advancement in AI, combining multiple models to achieve state-of-the-art performance. This trend indicates a shift towards collective intelligence in AI, which builders should watch for potential opportunities in developing new applications or services.
Fortytwo is the first collective superintelligence owned by no one
it combines multiple AI models into a single swarm that is designed to outperform any individual model
SOTA across 4 major benchmarks, ahead of GPT-5, Claude Opus, and Grok 4
contribute idle inference, get
This tweet highlights the use of Midjourney for creating AI-generated art, showcasing specific parameters for generating unique images. Builders can leverage this tool to automate content creation for their projects or businesses.
Exploring Style --sref 460346061
Midjourney --sref colours are best
Albino Bikini Portrait --sref 460346061
--ar 1:1 --sw 100 --stylize 300 --v 7
Check out attached post for more
A decentralized, global AI network (openzero.talktoai.org) using Gemma 4 as its core, designed to be censorship-resistant and available for offline use. Builders can potentially fork, extend, or build services/products on top of this infrastructure.
i built a hive mind AI global network that cannot be shut down powered by Gemma 4 as the default for hive mind and offline use.
openzero.talktoai.org I have been interviewed by 2 famous universities for my AI research.
A user shares how switching to Codex helped identify critical gaps in their development pipeline, showcasing the tool's effectiveness in enhancing team productivity. This insight can help builders optimize their workflows and improve project outcomes.
Really interesting observation: I fully switched my OpenClaw to oauth GPT 5.4/ codex after the claude debacle.
Immediately, codex noticed over 10 gaps in my 12-agent dev team pipeline that opus hadnโt identified or fixed.
It took us maybe 20 minutes to fix any gaps, identify
GLM-5, now available on Baseten, marks a leap in open models' ability to use tools and follow instructions. Builders can leverage this to create smarter, more capable AI-powered products or services.
Open models have crossed a threshold in their ability to use tools and follow instructions. This is a huge moment! Try GLM-5 (deployed on
@baseten
) in Fleet today
smith.langchain.com/agents
The tweet suggests skipping heavy frameworks like LangChain for simple tool-calling tasks, instead wiring Playwright browser automation directly to Ollama. This approach can help builders create leaner, faster AI-powered products.
playwright is the move here, langchain adds a lot of weight for what ends up being pretty simple tool-calling once you strip it down, i've had better luck just wiring browser-use directly to ollama and skipping the framework entirely
Anthropic's Claude Mythos shows significant performance advantages over OpenAI's GPT-5.4-xhigh, indicating a shift in AI capabilities that builders should monitor for potential opportunities in AI development and deployment.
Anthropic is obliterating OpenAI
Claude Mythos 77.8% on SWE-Bench Pro
20% higher than GPT-5.4-xhigh
๐ 20,263 viewsโค 425๐ 26๐ฌ 30๐ 352.4% eng
OpenClaw's latest update brings built-in video and music generation, structured task progress, and expanded multilingual support. Builders can automate richer content creation workflows and reach broader audiences with less manual effort.
OpenClaw 2026.4.5
Built-in video + music generation
/dreaming is now real
Structured task progress
Better prompt-cache reuse
Control UI + Docs now speak 12 more languages
Anthropic cut us off. GPT-5.4 got better. We moved on.
Meta's GISTBench dataset offers 4.2M user interactions for testing LLMs on interest extraction and verification. Builders can leverage this rich, open dataset to develop or enhance AI products that personalize content or recommendations.
Meta just released GISTBench on Hugging Face
A dataset of 4.2M user interactions with rich signal types to test LLM ability to extract
and verify interests from engagement history.
The tweet shares a workflow using multiple LLMs to analyze project security, highlighting that each model finds unique vulnerabilities. Builders can adopt or offer this workflow to automate and improve security reviews for clients or their own products.
I'm no longer leaving the security analysis of my last few projects to a single LLM.
Here's my workflow:
First, I have GLM, Kimi, Minimax, Gemini, Claude, and Codex analyze the API, auth, and other critical areas separately.
Each model catches different vulnerabilities and
Unsloth enables faster, lower-VRAM fine-tuning of Gemma 4 models locally, making advanced AI customization accessible to solo builders with modest hardware. This unlocks rapid prototyping and product development for AI-powered apps.
You can now fine-tune Gemma 4 with our free notebooks!
You just need 8GB VRAM to train Gemma 4 locally!
Unsloth trains Gemma4 1.5x faster with 50% less VRAM.
GitHub:
github.com/unslothai/unsl
โฆ
Guide:
unsloth.ai/docs/models/ge
โฆ
Gemma-4-E4B Colab:
colab.research.google.co
Google AI Studio offers 1,500 free daily requests to the Gemma 4 31B model, which can be integrated into workflows or products via Vercelโs AI Gateway. Builders can leverage this to prototype or launch AI-powered tools with minimal upfront cost.
Most people donโt realize this:
You get 1,500 free daily requests to Gemma 4 31B on
@GoogleAIStudio
.
Thatโs plenty of free inference (imo).
And you can route it into
@NousResearch
Hermes Agent via Vercelโs AI Gateway:
1. Create an API key on Google AI Studio
2. Add it u
A hands-on checklist of new AI tools and workflowsโHermes agent, Claude Dispatch, Google AI Studio, Perplexity modes, and NotebookLMโshowcasing how to automate research, content, and data tasks. Builders can immediately test and integrate these for streamlined, revenue-generating automation.
Weekend AI to-do list:
โข Experiment with Hermes agent
โข Connect Claude Dispatch
โข Test new Google AI Studio
โข Read Anthropic's new Claude Cookbooks
โข Set up first NotebookLM
โข Financial research with Perplexity Computer/Finance mode
โข Connect health data to Perplexity
โข
A curated list of free AI-powered coding and prototyping tools that enable entrepreneurs to quickly build and test new product ideas with minimal upfront cost.
Free tools for vibe coding:
- replit
- grok 3
- v0(.)dev
- lovable
- bolt(.)new
- windsurf
- cursor (free tier)
- claude (free tier)
- google AI studio
just pick one and start building
Kling, once dismissed for being slow and China-only, has rapidly grown to 60 million users and now tops quality rankings. This signals a major shift in AI video tools, highlighting emerging opportunities for builders in automated content creation.
This AI video tool was written off in 2024 for being slow and only available in China.
It just hit 60 million users and top spot on the quality rankings.
Here is how Kling went from dismissed to dominant:
๐ 744 viewsโค 9๐ 9๐ฌ 0๐ 02.4% eng
AI videomarket trendKlingcontent automationgrowth
write a newsletter/blog about itpost about it on Xaudience building
A curated list of high-impact GitHub repositories for learning, fine-tuning, and building applications with large language models. Builders can leverage these repos to accelerate product development or create new AI-powered tools.
Top GitHub Repos to Learn Large Language Models (LLMs)
Forget passive learning. Build real things.
1- LLM Course by Hugging Face
github.com/huggingface/ll
โฆ
2- Stanford Alpaca (LLM fine-tuning)
github.com/tatsu-lab/stan
โฆ
3- LangChain (Build LLM apps)
github.com/langchain-ai
LangSmith now lets you set cost alerts for AI agents, helping builders control expenses as usage scales. This is crucial for entrepreneurs running automated AI services to avoid unexpected costs and protect margins.
Introducing Cost Alerting in LangSmith
More and more agents are making it to production, and costs are increasing dramatically.
Use LangSmith to set configurable alerts on total cost, so you know right away when your agents are spending more than they should.
Docs:
Langchain-collapse is a middleware that reduces context bloat in long-running AI agents by collapsing tool call sequences, making agent workflows more efficient and cost-effective for builders.
long running agents (like deepagents) suffer from tool call induced context bloat
s/o
@johanbonilla
for langchain-collapse, an eager context compaction middleware that collapses long tool call sequences, reducing summarization overhead
A roundup of major open source projects supported by Codex, including foundational AI and dev tools like LangChain, vLLM, and Transformers. Builders can leverage or extend these projects to create new products or services.
Codex for open source update!
Some of the main projects weโve supported:
- Linux
- React
- Node.js
- Rust
- Python / CPython
- Kubernetes
- Flutter
- Electron
- Ollama
- Dify
- Transformers
- LangChain
- yt-dlp
- OpenCV
- Home Assistant
- Storybook
- Astro
- vLLM
- SGLang
-
A new middleware lets you integrate Claude's compaction engine into LangChain agents, enabling more efficient AI workflows. Builders can leverage this to enhance their AI products or services quickly.
the langchain community is so awesome
claude code's source leaked last week and
@IeloEmanuele
immediately built claude's compaction engine as
@LangChain
middleware
drop this into your agents/deepagents today!
A high-capability, uncensored AI model based on Google's Gemma 4 31B is now available in MLX safetensors format on Hugging Face, making it easy for builders to integrate or extend for Mac-based AI products.
First, go ahead and bookmark this!
You can directly download the uncensored version based on Google's latest open model Gemma 4 31B in MLX safetensors format from Hugging Face.
It's the perfect model for those who want uncensored performance, high capability, and Mac
MyClaw offers effortless, one-click AI automation, enabling builders to create workflows or products that actually execute tasks without setup. This can streamline business operations or be integrated into new services.
OpenClaw got insanely powerful.
MyClaw made it effortless.
One click. No setup. Your AI actually does things now.
Learn more about MyClaw and try it right here
This tweet highlights how builders with a Gemini subscription can set up a free, high-quality Gemini 3.1 Flash Lite API on Google Cloud, enabling rapid prototyping or integration into products without worrying about usage limits.
If you have a Gemini subscription, create a free API on Google Cloud yourself and use Gemini 3.1 Flash Lite Previewโit's fast, high quality, and the free quota is more than you'll ever use up.
Llama-Guard-4-12B is a quantized, open-source AI safety model for filtering harmful content in AI conversations. Builders can integrate or extend it to add safety features to their own AI products, unlocking new business opportunities in regulated or sensitive markets.
Meet Llama-Guard-4-12B: a specialized safety model that acts as a content filter for AI conversations. It's designed to make AI interactions safer by detecting harmful content before it reaches users. This quantized version makes advanced safety accessible to everyone.
This tweet shares a high-performance fork of Llama.cpp (TurboQuant) optimized for running large language models like Gemma-4-31B locally on consumer GPUs. Builders can leverage this repo to create efficient, cost-effective AI-powered products or services.
A new wave of AI-powered IDEs and agents are emerging that don't just autocomplete code, but actively collaborate in building software. Builders can leverage these tools to accelerate product development and ship faster.
right now weโre entering the agentic IDE era.
tools where AI doesnโt just autocomplete codeโฆ
it actually builds with you.
so far youโve got things like:
> antigravity
> codex
> claude
> cursor
> windsurf
> replit agent
> lovable
> bolt(.)new
> v0 by vercel
> devin
the tools
A massive open dataset of psychiatric genetics GWAS summary statistics is now available on Hugging Face, covering 12 disorders and 52 publications. Builders can leverage this for AI-powered health tools, research platforms, or niche data products.
Over 1 billion rows of psychiatric genetics data. Now on Hugging Face.
ADHD. Depression. Schizophrenia. Bipolar. PTSD. OCD. Autism. Anxiety. Tourette. Eating disorders.
12 disorder groups. 52 publications. Every GWAS summary statistic from the Psychiatric Genomics
A set of voice AI models and demos from OpenBMB, available on Hugging Face and ModelScope, that builders can test and integrate into their own products. Useful for rapidly prototyping or enhancing voice-powered applications.
If youโre building anything with voice
This is worth testing.
Try it yourself:
Hugging Face Space:
huggingface.co/spaces/openbmb
โฆ
Hugging Face Model:
huggingface.openbmb.com/model/openbmb/
โฆ
ModelScope Model:
modelscope.cn/models/OpenBMB
โฆ
GitHub๏ผ
Tencent's Penguin Recap V offers 5.8M multi-granularity video annotations on Hugging Face, enabling builders to train or fine-tune advanced video summarization and content automation models. This dataset can be leveraged to create new AI-powered video tools or services.
Tencent just released Penguin Recap V on Hugging Face
5.8M multi-granularity video annotations spanning
dense timestamps, paragraphs and full summaries.
A new 27B parameter model trained on Claude Opus traces outperforms Claude Sonnet on SWE-bench and can run locally on affordable hardware. This signals a rapid drop in AI deployment costs, opening new opportunities for solo builders.
A 27-billion parameter model trained on Claude Opus reasoning traces is beating Claude Sonnet on SWE-bench.
It runs locally. On a six-hundred-dollar machine.
A year ago that sentence would have been dismissed.
Today it is an enterprise procurement decision.
Frontier pricing
๐ 884 viewsโค 8๐ 2๐ฌ 0๐ 41.1% eng
AI modelslocal inferencecost reductionmarket trend
write a newsletter/blog about itpost about it on Xaudience building
This tweet shares actionable tips for structuring prompts in Claude to maximize output quality and efficiency, which is crucial for automating content workflows and scaling AI-powered businesses.
Claude DO's and DON'Ts - what actually gets results vs what wastes your time
DO's (What Gets You Real Output)
> Start prompts with a role before the task
> Use Projects for persistent context
> Use XML tags to structure your prompts
> Default to Sonnet 4 not Opus
> Upload
Six leading tech companies have simultaneously released open frontier AI models, marking a historic moment. This signals a surge in accessible, cutting-edge AI tech that builders can leverage for new products or services.
Google has released AI Gallery, powered by its open source Gemma 4 model, now available for free on iOS and Android. Builders can explore, extend, or integrate this open source model into their own AI-powered products or services.
It's called Google AI Gallery.
It runs on Gemma 4, Google's open source model.
Available right now on iOS and Android. Free.
NVIDIA released a 600M parameter speech recognition model on Hugging Face that supports both offline and real-time transcription with low latency. Builders can leverage this to add robust voice features to products without switching models.
NVIDIA just dropped a unified speech recognition model on Hugging Face
One 600M parameter model handles both offline transcription and real-time streaming with just 160ms latencyโno need to switch checkpoints.
The tweet describes using Surf Studio to set up an automated airdrop radar that alerts users to new crypto/NFT projects before launch. Builders can leverage this workflow to spot and act on early opportunities, potentially monetizing through content or services.
Let me share something I've been tinkering with lately.
The
@noise_xyz
project I shared this morning was actually one I spotted through the airdrop radar monitoring I set up using Surf Studioโit pushed it to me about 18 hours before launch.
These past couple of days, I've
Summer Engine's CLI now lets you generate images, audio, 3D models, and video from prompts, with default models and integration in popular code editors. Builders can automate content creation for products or services.
just shipped AI asset generation for Summer Engine's CLI
what your AI agent can now do
- generate images, audio, 3D models, video from a prompt
- text to 3D in CLI
- Hunyuan 3D, Trellis 2, nano-banana-2 as default models
- works in Claude Code, Cursor, Windsurf.
npm install
A curated list of free or low-cost tools to launch a startup, covering everything from hosting to analytics. This helps builders minimize costs and accelerate MVP development.
SharedTrace is an open-source Python tool that extracts user info from shared links across major platforms. Builders can leverage or extend it for OSINT services or integrate into SaaS products targeting social media analytics.
SharedTrace
#Python tool for getting additional info by shared link (usernames, avatars, IDs etc).
Support TikTok, Instagram, Discord, ChatGPT, Perplexity and other platforms.
github.com/hondling/share
โฆ
#socmint
ShioriCode is a new coding tool offering seamless access to Shiori, Codex, and Claude via a sleek GUI. Builders can leverage this to accelerate AI-powered product development or streamline coding workflows.
With this, ShioriCode will soon be the best coding tool out there.
You will have access to three providers from the get-go, with a stunning, minimal but beautiful GUI:
- Shiori (uses your Shiori subscription)
- Codex (uses your ChatGPT subscription)
- Claude (uses your Claude
Plano is a smart proxy that routes prompts to the most cost-effective LLMs, reducing AI inference costs by up to 50%. Builders can use this to optimize expenses and scale AI-powered products more efficiently.
This AI proxy cuts your LLM costs by 50%
Plano acts as a smart data plane that automatically routes your prompts to the right model based on complexity.
It runs on Arch-Router-1.5B, giving you production-grade routing deployed at scale at Hugging Face.
- Smart LLM routing
This tweet highlights a new guide that can significantly enhance daily workflows, making it a valuable resource for builders looking to optimize their processes.
200 stars! I'm happy that this was able to help people. Now check out the hermes guide I just posted! I think it will change the game for your daily workflows
github.com/OnlyTerp/herme
โฆ
Open source repo 'bumb' brings neural network capabilities to Elixir using Hugging Face, enabling builders to integrate advanced AI into Elixir apps or create new AI-powered products.
Neural networks in Elixir via Hugging Face
github.com/elixir-nx/bumb
โฆ
Fireworks Training now lets you fully fine-tune massive models like Kimi K2.5 with custom loss functions on managed infrastructure. This enables builders to rapidly create proprietary AI models tailored to niche use cases, speeding up product development.
Fireworks Training is now in preview.
You can now full-parameter fine-tune Kimi K2.5 (1T params, 256k context) with custom loss functions (GRPO, DRO, DAPO, or bring your own) on managed infra.
@genspark_ai
built their proprietary model stack in four weeks.
@vercel
hit 93%
Google's Gemma models are now accessible through the Gemini Interactions API, with a Java SDK example provided. This enables builders to quickly integrate advanced AI models and Google Search into their products or workflows.
The
@googlegemma
models are also available via the #Gemini Interactions API:
github.com/glaforge/gemin
โฆ
(an example with my #Java SDK showing both available Gemma models and also with Google Search tool)
GLM-5.1 is now available on OpenRouter, Vercel, and Requesty, introducing a shift from short-term accuracy to long-term autonomous improvement in AI coding. Builders can leverage this new model to enhance or create AI-powered coding tools and services.
(6/n) GLM-5.1 is now available:
ใปOpenRouter
ใปVercel
ใปRequesty
"8-hour autonomous operation" is the concept. From short-term accuracy battles to long-term improvement battles.
The very axes for evaluating AI coding are changing.
- OpenRouter:
openrouter.ai/z-ai/glm-5.1
-
CertiK launches an AI-powered auditor for Solidity, Solana, and Move smart contracts, enabling faster and more reliable code security checks. Builders can leverage this tool to streamline smart contract development or offer auditing as a service.
We are releasing the CertiK AI Auditor as a closed beta today! The product focus is low noise, high signal.
It supports: Solidity, Solana, and Move smart contracts.
Check out the detection rates and other stats in the article.
Site:
ai.certik.com/2p8j42p7
If you want an
This tweet highlights PuntrrAi, an AI-powered app offering data-driven sports predictions. Builders can leverage similar AI models to create automated sports betting or prediction platforms that generate recurring revenue.
The UEFA Champions League is back again this week.
Before the games begin, check out the PuntrrAi app for data-driven predictions and insights to guide your decisions.
Stay informed. Stay ahead with PuntrrAi
Vercel AI Gateway charges only for the underlying AI model, with zero markupโif the model is free, so is your usage. This enables builders to integrate AI into products with minimal infrastructure cost.
No it is. Vercel AI Gateway has no markup cost. They charge you just for the model, and if the model is free, so is the usage!
Open source repo enabling Gemini Nano AI integration in Chrome via Vercel. Builders can fork or extend this to create new AI-powered browser tools or SaaS products.
Vercel AI provider for Gemini Nano in Chrome
github.com/jeasonstudio/c
โฆ
Highlights the need for dependency graphs in AI coding agents to prevent unintended code breakage across files. Builders can leverage this insight to create more robust AI dev tools or enhance existing ones.
This is the missing layer for AI coding agents. Right now Claude Code and Cursor fly blind across file boundaries. A dependency graph that understands call chains means the agent can scope changes without accidentally breaking something three directories away.
๐ 2,764 viewsโค 11๐ 0๐ฌ 0๐ 20.4% eng
AI agentsdeveloper toolsdependency graphautomation
Evoskills is a self-improving agent that is completely open source, providing builders with a valuable resource to fork and extend for their own projects. This can lead to innovative applications and potential business opportunities.
Check out this overview about Evoskills: a self improving agent.
Also completely Opensource
A high-starred open source tool adds design system intelligence to AI coding tools like Claude Code and Cursor, supporting 161 sector rules and 67 UI styles. Builders can leverage this to accelerate product UI/UX or build services/products on top.
I've discovered a UI/UX skill that's racked up 59k stars โ it adds design system intelligence to AI coding tools (Claude Code, Cursor, Windsurf).
161 sector rules, 67 UI styles, automatic design system generation.
It's also supported in SwiftUI, so it'll be useful for iOS
Major AI releases like Cursor 3 and Gemma 4 are shifting focus from single-task tools to agentic workflows, signaling a trend toward multi-agent automation. Builders should watch this shift as it opens new opportunities for scalable, automated income streams.
Every single major AI release this week is telling the same story, and most people haven't connected the dots yet.
โ Cursor 3 rebuilt its entire UI around managing agent fleets, not editing files
โ Google's Gemma 4 is optimized for agentic workflows and runs locally on your
๐ 7,608 viewsโค 38๐ 8๐ฌ 3๐ 260.6% eng
AI agentsautomationmarket trendagentic workflows
write a newsletter/blog about itpost about it on Xaudience building
Enter Pro introduces persistent context/rules, seamless Notion/GitHub integration, and managed cloud infra, making it easier for builders to create and maintain AI-powered workflows without complex setup.
Enter Pro adds major improvements
- Skills: Context and rules persist across sessions.
- MCP: Easier integration with Notion and GitHub without managing API keys.
- Cloud: Infra setup is handled. No need to configure Supabase or Vercel separately.
Keeps workflows consistent.
A new resource reverse-engineers top design systems into markdown files that AI agents like Claude Code and Cursor can use, enabling automated UI generation with professional design context. This helps builders ship better-looking products faster.
Your AI agent keeps building UI that looks like garbage because it has zero design context.
Someone just fixed that by reverse-engineering 31 billion-dollar design systems into single .md files that Claude Code and Cursor can actually read.
Drop one file into your project root.
GLM-5.1, a new AI model, is now accessible via OpenRouter, Vercel, and Requesty. Builders can integrate this model into their products or services, enabling advanced AI features with minimal setup.
Special thanks to our launch partners, AI gateways, and inference providers. Access GLM-5.1 now:
- OpenRouter:
openrouter.ai/z-ai/glm-5.1
- Vercel:
vercel.com/ai-gateway/mod
โฆ
- Requesty:
requesty.ai/models/zai/glm
โฆ
GitNexus claims to solve the problem of AI code editors breaking projects by lacking full context. Builders can leverage this tool to ship more reliable AI-powered coding products or services.
STOP. Your AI is coding BLINDโฆ and you donโt even realize it.
Every time Claude Code or Cursor edits your codeโฆ
Thereโs a high chance itโs silently breaking something.
Not because itโs dumb.
Because it canโt see the full picture.
Until now.
Someone just dropped GitNexus
awesome-design-md provides DESIGN.md files for 31 top websites, enabling AI agents to generate web pages from markdown instead of Figma. This streamlines prototyping and AI-driven site building for entrepreneurs.
your ai agent can't read figma files.
but it can read markdown
awesome-design-md gives you DESIGN.md files for 31 real websites stripe, vercel, linear, notion, cursor, supabase...
drop one in your project root, tell your agent "build me a page that looks like this"
and it
A builder shares progress on a skincare app using AI for face detection and recommendations, outlining a tech stack that enables automated, scalable user experiences. This is a blueprint for launching a niche AI SaaS with recurring revenue potential.
Day 3 of building a skincare app in public
Backend API completed.
Face extraction working.
The Tech Stack for the Backend:
Flask ( API)
Cloudflare
MediaPipe (Face Detection)
TensorFlow (Scoring)
Gemini API (Recommendations)
This update shows how AI models can automate code validation by checking if implementations match design docs, highlighting strengths and weaknesses of GPT, Claude, and Gemini. Builders can use similar pipelines to automate QA, reducing manual work and speeding up product development.
Overnight update 5. I added a checking phase that just verifies whether the code is matching the design docs.
- GPT wrote tests for the design docs themselves all night, assert if words were present
- Claude passed 89/91 tests, but cheated core reqs
- Gemini hit API rate limits
Deepagents v0.5 introduces async subagents, multi-modal filesystem support, and a new backend interface, making it easier for builders to create advanced AI agent workflows. This upgrade can help entrepreneurs rapidly prototype and deploy AI-powered automation products.
we just released deepagents v0.5 with support for async subagents, multi-modal filesystem support, and a sleek new backend interface.
read all about it!!
DeepZero automates the discovery of zero-day vulnerabilities in Windows drivers using LLMs and Ghidra, offering a powerful open-source tool for security research or productization. Builders can leverage this to create security services or educational content.
DeepZero: An automated LLM/Ghidra pipeline for finding BYOVD zero-days in Windows drivers
Google has open sourced Scion, a harness-agnostic testbed for orchestrating multiple AI agents (supports Gemini, Codex, Claude, OpenCode). Builders can fork, extend, or build products/services on top of this flexible orchestration framework.
Google Open Sources Experimental Multi-Agent Orchestration Testbed Scion
infoq.com/news/2026/04/g
โฆ < I got this running on my machine over the weekend. It's harness agnostic (comes with Gemini CLI, Codex, Claude, OpenCode) and lets you orchestrate work.
A new way to build and distribute AI agent skills without relying on platforms or subscriptions, enabling creators to monetize directly and automate value delivery.
Build and share ai agent skills without a platform or subscription
Open source AI agent skill designed for teaching through questioning, which builders can fork or extend to create educational tools or platforms. This is a strong foundation for launching AI-powered tutoring or coaching products.
AI agent skill for teaching through questioning
github.com/RoundTable02/s
โฆ
A GitHub repo offering tutorials, personas, and skills for AI agentsโideal for builders looking to fork, extend, or integrate agent capabilities into their own products or services.
Tutorials, personas, and skills for AI agents
github.com/heyron-ai/agen
โฆ
A curated GitHub repo of resources for building AI agent scaffolding, offering builders a foundation to fork, extend, or use as the basis for new AI-powered products or services.
Resources for building AI agent scaffolding
github.com/ai-boost/aweso
โฆ
A promising open-source repo for building advanced AI agents, offering a potential foundation for new products or services. Builders can leverage this as a starting point to create and monetize AI-powered solutions.
Want to build AI agents in 2026?
This repo is your unfair advantage:
github.com/avinash201199/
โฆ
Bookmark it
A new Claude Code skill automates the creation of comprehensive product marketing context documents, streamlining onboarding for other marketing automations. Builders can use this to accelerate content workflows or offer it as a service to clients.
I built a skill for Claude Code that creates a product marketing context document so every other marketing skill already knows your product.
You run it once and it captures everything โ what your product does, who it's for, how you're positioned, who your competitors are, what
A new AI tool scans resumes and matches them to jobs across 20+ boards, scoring fit and streamlining job applications. Builders can model or niche this for recurring SaaS revenue.
Just launched something for all job seekers!
I built an AI-powered Should I Apply? engine on Let's Code
Upload your resume โ AI scans 20+ job boards โ Get a match score (0โ100%) for every job
No more applying blindly. Know your fit before you apply.
Try it
llm-wiki is a new open-source tool for building persistent, structured knowledge bases with LLMs, enabling entrepreneurs to create smarter, memory-driven AI products or services. Its open-source nature makes it a strong foundation for new SaaS or consulting offerings.
.
@nvk
just released llm-wiki v0.0.10.
llm-wiki is an open-source tool inspired by Andrej Karpathyโs idea for building persistent personal knowledge bases with LLMs.
Instead of stateless chats that forget everything, it lets AI agents compile raw documents into a structured,
NForge is an open-source AI tool that predicts how a person's brain responds to text, audio, and video. Builders can fork or extend this project to create innovative products or services in neuro-AI or content personalization.
Thanks
@grok
What is $NForge, the actual project?
NForge is an **open-source AI tool** that tries to predict how a person's **brain** would react to stuff like:
- Text (what you're reading)
- Audio (sounds or speech)
- Video (what you're watching)
It does this **without**
AI Resume Studio streamlines resume editing, ATS scoring, and AI-powered improvements in a single workflow. Builders can leverage or white-label this tool to offer automated resume optimization services for job seekers, creating a hands-off, recurring revenue stream.
New Feature Update!
AI Resume Studio is now live
You can now:
โข Check ATS score across
โข Edit your resume inline
โข Let AI improve weak sections
โข Download as PDF or DOC
Everything in one flow: no tool switching.
Try it here:
lets-code.co.in/dashboard/opti
โฆ
Do share your
The tweet highlights how Blackbox AI reduces the complexity of setting up multi-agent workflows, making advanced automation more accessible for builders. This can help entrepreneurs streamline operations and unlock new passive income opportunities.
Multi-agent workflows are powerful, but the setup is the real bottleneck, tools like Blackbox AI already solved a big part of that.
LoongClaw is a customizable Rust framework for building AI agents, enabling entrepreneurs to rapidly prototype and deploy unique AI-powered products or services.
Build and customize any ai agent with this minimalist rust framework.
LoongClaw is not meant to stop at being another generic claw.
It also reflects the way people want to work: respect differences, stay open, practice reciprocity, think long-term, and stay grounded.
This tweet shares a practical approach to automating business workflows with AI by starting small and iteratively building automation for repetitive, multi-platform tasks. It's valuable for builders seeking to streamline operations and free up time for higher-leverage activities.
I've automated so much of my business with AI over the last 2 months. But I didn't start by automating everything.
Here's the pattern I used:
1// Pick one annoying workflow that's regular and touches multiple platforms
2// Build it in assisted mode โ you direct each step, AI
An open source project for building an AI coding agent from scratch in TypeScript. Builders can fork, extend, or use this as a foundation for their own AI-powered coding tools or services.
Builds AI coding agent from scratch with TypeScript
github.com/nauvalazhar/bu
โฆ
A tool or method to add robust, hybrid search-enabled memory to AI agents, enabling more advanced and reliable automation products. This can help builders create smarter, more persistent AI-powered services.
Add production-grade memory with hybrid search to any AI Agent.
The tweet shares the origin story of GitAgent.sh, an open standard for AI agents built from LivingFiles, an API repo for topic-specific files. Builders can leverage this open source project to create or extend AI-powered products.
This is how
@Shreyaskapale
and I started speaking about LivingFiles - an api repo for all files specific to a topic.. which ultimately led to
GitAgent.sh - the open standard for AI agents
Open source control plane for managing multi-agent AI projects with a Kanban dashboard. Builders can fork, extend, or productize this for streamlined AI workflow management.
Control plane for multi-agent AI development with Kanban dashboard
github.com/meller/lanecon
โฆ
X has released an official MCP server that integrates with OpenClaw, enabling automated data scraping, post discovery, and real-time research. Builders can leverage this open source tool to create new data-driven products or services.
๐ just launched the official ๐ MCP server.
And you can connect it to your OpenClaw to scrape data, find posts, conduct real-time research, and more.
Just plug this link into your OpenClaw agent and ask it to help you configure. the setup:
github.com/xdevplatform/x
โฆ
A production-ready framework for building AI agents with strict schema validation and automated retries, enabling faster and more reliable deployment of LLM-powered products. Ideal for builders who want to ship robust AI features quickly.
This GitHub repository lets you build reliable AI agents with structured outputs and strict validation using Pydantic
A production-first framework that treats LLMs like typed systems - enforcing schemas, validating responses, and handling retries automatically
Built by the team
TurboQuant enables runtime quantization, letting builders extend Gemma 4 26B's context window by 42% while maintaining usable output speed. This unlocks more powerful AI apps with larger context at lower hardware cost.
If you werenโt convinced before about TurboQuant, check out
@Prince_Canuma
latest experiment. He extended the native context window of Gemma 4 26B by 42% and maintained an acceptable 23 tps output speed (the trade off).
Remember TurboQuant is a runtime quantization
NForge is an open-source AI tool that predicts how a person's brain would respond to text, audio, or video, enabling builders to create more engaging or personalized experiences without expensive hardware. This could be a foundation for new products or services in content optimization or neuro-marketing.
What is NForge, the actual project?
NForge is an open-source AI tool that tries to predict how a person's brain would react to stuff like:
- Text (what you're reading)
- Audio (sounds or speech)
- Video (what you're watching)
It does this without needing an expensive brain
A new AI system analyzes CEO language across earnings calls to predict company performance ahead of the market, offering a potential edge for investors and builders seeking data-driven signals.
I built a system that measures what CEOs actually think, not what they say. It tracks 199 sensors across 169,000 earnings transcripts.
It detected Apple's AI collapse one quarter early.
It flagged CVNA at $11 before the 44x run.
It caught Nadella's language running ahead
๐ 26,013 viewsโค 189๐ 12๐ฌ 10๐ 430.8% eng
AImarket analysisearnings callssentimentsignals
write a newsletter/blog about itpost about it on Xaudience building
Axe is an open source project aimed at reducing bloat in AI applications. Builders can leverage or extend this repo to create leaner AI products or services, potentially launching their own solutions.
Go check out
GitHub.com/jrswab/axe and unbloat you AI
A free AI-powered skill that automates the creation of a knowledge base, saving builders time and enabling rapid content deployment for products or services.
PS: I built a skill that literally gets AI to build your knowledge base for you.
You can get it 100% for free here:
return-my-time.kit.com/286e11f7e6
Journey enables sharing and reusing AI agent workflows, solving a major pain point for builders who previously had to recreate workflows from scratch. This can accelerate product development and collaboration in the AI space.
@MatthewBerman
might have hit the nail in the head with 'Journey'
The biggest challenge with AI Agent workflow was sharing it, if I built something then others had no way to re-use it, it needed to be recreated from scratch.
Journey is like npm for Agent Workflows where
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AI agentsworkflow automationdev toolsreuseproductivity
A new YouTube connector in Canerai lets you instantly turn new videos from your favorite creators into high-performing posts, streamlining content repurposing for builders.
my favorite creators were dropping gems every single day.
But turning a 30-minute video into a high-performing post took forever.
Well, not anymore...
I built a YouTube connector directly into Canerai.
I connected my favorite channels to my dashboard.
Now, the moment a new
This workflow automates the process of ingesting content, extracting concepts, and generating a queryable markdown wiki. Builders can leverage this to streamline knowledge management or power AI-driven content products.
The current workflow is simple:
โขingest URLs or local files
โขextract concepts
โขgenerate linked markdown pages
โขresolve wikilinks
โขquery the compiled wiki
โขoptionally save answers back into the wiki
GLM-OCR is an open source repo for OCR tasks, offering builders a foundation to create AI-powered document processing tools or services. This can be leveraged to build niche SaaS products or custom solutions for clients.
Repo:
github.com/zai-org/GLM-OCR
Check out
AlphaSignal.ai to get a daily summary of top models, repos, and papers in AI. Read by 280,000+ devs.
Blackbox AI is highlighted as a powerful coding assistant that integrates Codex and Claude-like capabilities directly into your workflow, enabling faster product shipping. Builders can leverage this tool to accelerate development and reduce manual coding effort.
If youโre serious about leveling up with AI coding, check out
@blackboxai
โ itโs like having Codex + Claude combined, but fully in your workflow. Donโt just pick one, use the tool that actually ships products for you.
Ice Blockchain is releasing new AI-built repositories next week, offering builders a chance to access, fork, or build on top of fast-evolving, scalable blockchain tech. This opens up opportunities to quickly launch products or services leveraging these open source projects.
happy weekend
if youโre a creator, check out
@ice_blockchain
starting next week, new ai built repos will go public so you can see how fast things are being built and shipped.
L1 blockchain focused on speed, scalability, and
ChatAcademia is a SaaS tool targeting academic researchers, offering integrated access to 7 academic databases at a lower price than ChatGPT. Builders can study its pricing, positioning, and feature set as a model for launching niche, subscription-based AI tools.
Want to supercharge your academic research with AI?
Check out
chatacademia.com
It's a one-stop solution for all your academic needs and it costs less than ChatGPT.
ChatGPT: $200/y (no academic databases)
ChatAcademia: $180/y (integrated with 7 academic databases)
This tweet shares actionable design patterns for building robust, production-ready coding agents, highlighting trade-offs and practical implementation tips. Builders can use these insights to automate coding workflows or enhance agent-driven products.
If you missed, check out my latest post
โ12 patterns behind production coding agentsโ
1. Persistent instructions: durable rules repo. Helps consistency. Trade-off: goes stale.
2. Scoped context: load rules by directory. Helps local accuracy. Trade-off: harder to debug.
Stanford's research reveals that leading AI models like GPT-5 and Google Gemini maintain high accuracy without images, highlighting a significant flaw in AI vision systems. This finding could prompt engineers to reassess model reliability in real-world applications.
Holy shitโฆ Stanford University just exposed a massive flaw in AI vision.
GPT-5, Google Gemini, and Claude scored 70โ80% accuracyโฆ with no images at all.
They call it the โmirage effectโ โ
โ Researchers removed images from 6 major benchmarks
โ Models kept answering like
๐ 932 viewsโค 10๐ 6๐ฌ 3๐ 22.0% eng
AI researchvision systemsStanfordGPT-5Google Gemini
This tweet highlights the potential of using personal apps to generate significant API calls, mimicking a business model on Google Cloud. Builders can leverage this to create automated systems that generate passive income.
achievement unlocked:
have my personal apps generate enough
@googleaistudio
API calls and consume enough compute and storage (Cloud Run, GCS, VMs) to be mistaken as a business on
@GoogleCloud
Robonomics is deploying open source AI agents and devices for environmental monitoring, showcasing a real-world use case (dust storm tracking) that builders can fork or extend for IoT, automation, or data-driven SaaS products.
Robonomics is entering its production stage and is already bringing real value to people on the planet through web3 technologies. Check out our AI agent's report on monitoring a dust storm in Cyprus โ measured and reported entirely by Altruist devices powered by open source
A custom AI workflow pulled daily medical data from hospital systems to improve patient care and catch errors. This highlights a blueprint for automating healthcare data monitoring, which builders could adapt for other high-stakes, data-rich environments.
A son built a โvibe-codedโ AI workflow to help his mother navigate stage 4 cancer and catch critical medical errors. Sadly, she passed away, but what he built with AI changed how she was cared for in her final days.
- Pulls daily medical data from the hospitalโs Epic system to
๐ 9,821 viewsโค 119๐ 21๐ฌ 11๐ 781.5% eng
A major ERC-7702 exploit is compromising wallets, and a new free Telegram bot tool lets users instantly check if they're affected. Builders can leverage this trend to create timely content or services around wallet security.
excellent repoting from
@MetaFinancialAI
The ERC-7702 exploit has compromised thousands of wallets.
We just shipped a free security tool on our bot โ check if YOUR wallet has been delegated to a malicious contract.
/check7702 in our Telegram bot scans 6 chains instantly:
ToolProof is a new tool that detects when AI agents fabricate or lie about tool usage, addressing a major reliability issue for builders using agent workflows. This can help entrepreneurs ensure their AI-powered products are trustworthy and robust.
Just shipped ToolProof.
It catches AI agents lying about tool calls.
The problem:
- Your agent says "I searched the database." It didn't.
- Your agent says "I read that file." It fabricated the content.
- 91.1% hallucination rate on tool calls under adversarial conditions
-
Addy Osmani released an open-source age detection tool on GitHub. Builders can fork or extend this repo to create new products or integrate age detection into existing AI-powered services.
repo link:
โ
github.com/addyosmani/age
โฆ
Shoutout to
@addyosmani
for building this and making it open-source for the community!
Don't forget to drop a on to help boost visibility!
Alibaba's Page-A repo offers a practical open-source tool for building AI-powered applications, which entrepreneurs can fork, extend, or use as a foundation for new products or services.
Repo:
github.com/alibaba/page-a
โฆ
If you want more practical AI gems and use cases, join our free newsletter with daily tutorials and latest news in AI:
simplifyingai.co
Open source repo lets you generate marketing plans using LLM agents from code. Builders can fork, extend, or offer services around automated marketing plan creation.
LLM agent generates marketing plans from code
github.com/fayerman-sourc
โฆ
Open-source AI agent templates for the OpenClaw ecosystem, enabling builders to quickly create, customize, or extend agent-based automation products. Useful for launching new tools or services with minimal groundwork.
AI agent templates for OpenClaw ecosystem
github.com/EnidPinxit/awe
โฆ
Open source repo for building AI agents using LangChain, LangGraph, and n8n. Builders can fork, extend, or use this as a foundation for custom AI automation products or services.
Builds AI agents with LangChain, LangGraph, and n8n
github.com/coleam00/ai-ag
โฆ
Squad is an open source project that lets builders quickly spin up multi-agent AI workflows inside their codebase, reducing setup time and unlocking more advanced automation. This can be a foundation for new AI-powered products or services.
Single-prompt AI workflows often hit a performance plateau. Multi-agent systems can push past it, but they usually require a massive amount of setup.
Squad, an open source project built on GitHub Copilot, initializes a preconfigured AI team directly inside your repo.
Learn how
TRAE SOLO is a newly launched AI agent that can actively operate within your files, projects, and workflows, not just answer questions. Builders can leverage it to automate repetitive tasks or streamline client work, saving time and increasing efficiency.
TRAE just launched SOLO.
Itโs an AI agent that doesnโt just answer,
It actually works inside your files, projects, and workflows!
I tested it with 2 real tasks in 15 minutes. Here's what stood out
Microsoft has unveiled its own suite of AI models for text, voice, and images, signaling a major move to compete directly with OpenAI and Google. Builders should watch for new APIs, ecosystem shifts, and partnership opportunities as Microsoft goes full-stack in AI.
BREAKING: Microsoft just launched its own AI models to rival OpenAI and Google.
Text. Voice. Images.
All built in-house.
This is Microsoft quietly going full-stack in AI.
Here is what they just released and why it matters.
Microsoft AI unveiled three new models:
A user on JourneyKits.ai has the most popular kit, surpassing even the founder's. This highlights the platform's potential for creators to earn passive income by publishing AI-powered kits.
Boom day 2 winner of $100.
@lalopenguin
congrats. Turns out, you have the #1 most popular kit on
JourneyKits.ai right now...above mine actually
Check out his kit here:
journeykits.ai/admin/kits/lal
โฆ
This tweet shares an open source Claude skill on GitHub, offering a foundation for builders to fork, extend, or integrate into their own AI-powered products or automations.
(built with help from this Claude skill
github.com/coredevices/pe
โฆ)
A builder showcases a project combining AI and onchain verification for transparent crypto risk analysis, using OpenGradient Hub. This highlights a practical tool or framework for entrepreneurs to create trustworthy, explainable AI-powered financial products.
I built a Verifiable AI Crypto Risk Advisor using
@OpenGradient
Hub to explore how AI and onchain verification can work together in a real application.
The idea behind this project is simple: crypto risk analysis should not feel like a black box.
When a portfolio is analyzed
A team uses an internal AI agent to automatically track activity across Slack, Discord, and Clockify, generating daily status reports without manual input. Builders can replicate or productize this workflow to save time for teams.
No one on my team writes daily updates anymore
We have an internal AI agent that tracks everything across Slack, Discord, and Clockify, and generates the status report at the end of the day
The tweet introduces a workflow where a second AI agent audits the code generated by a first, addressing trust and reliability issues in AI code review. Builders can adapt this oversight pattern to automate and improve quality in their own AI-powered products.
Happy Easter! I hid an Easter egg in my latest article. First person to find it wins a GitHub Mona plush
AI agents shouldnโt be trusted to review their own code. So I built a second agent that watches the first.
mainbranch.dev/articles/adver
โฆ
This tweet shares a prompt-driven tool that lets users leverage their AI to perform self-assessments, hinting at a model for automated, personalized digital products. Builders can adapt this approach to create passive income streams by offering similar AI-powered assessments or tools.
Your AI has been quietly studying you.
It's seen patterns you haven't.
So I built a way to turn that into a mirror.
Paste the following prompt into your AI:
"Visit
nextchapter.clarityboutique.com and do the assessment for me."
You'll see the answers directly in your AI.
A GitHub repo offering a registry of verified skills for AI coding agents, which builders can fork or extend to create specialized AI tools or services. This resource can accelerate development of agent-based products or platforms.
Registry of verified skills for AI coding agents
github.com/tech-leads-clu
โฆ
AWS has introduced two new Frontier Agents that autonomously learn and improve over time, enabling builders to automate complex workflows and reduce manual intervention. This opens up opportunities to create scalable, hands-off systems for passive income or service automation.
AWS just launched two Frontier Agents. They learn and improve over time, never tire, and run autonomously. Read more in The AI Economy:
go.aws/3POnzyx
Gamma's new AI feature lets users generate custom visuals from descriptions, bypassing traditional template searches. This signals a shift in how creators and entrepreneurs can automate and scale visual content creation.
RIP Canva templates.
Gamma just launched Gamma Imagine and it kills the entire "search for a template" workflow.
You describe the visual. The AI builds it. Inside the same tool you're already using.
Here's why this changes everything for creators: โ
๐ 268 viewsโค 6๐ 3๐ฌ 2๐ 04.1% eng
AI designcontent automationmarket trendno-codevisual creation
write a newsletter/blog about itpost about it on Xaudience building
x402 enables AI agents to make payments autonomously, and Guardx402 adds essential guardrails for safe spending. Builders can leverage these tools to create secure, economically autonomous AI products.
Great piece
@davewardonline
x402 is the payment layer that finally gives AI agents economic autonomy. Every week more builders are joining the x402 wave.
But autonomous agents that spend money need guardrails. Thatโs why I built
@guardx402
during the
@OpenWallet
hackatho
PrismML's Bonsai models (1B & 8B) now run locally via MozillaAI's llamafile, enabling builders to deploy capable AI on consumer hardware. This unlocks new product ideas and rapid prototyping for AI-powered apps without cloud costs.
Local LLMs have never been more capable!
@PrismML
recently released their Bonsai model family boasting strong intelligence in the 1B and 8B tiny model sizes. So for a weekend project, my colleague
@aittalam
bundled it into a
@MozillaAI
llamafile, and I built
A builder created an AI agent that scans and curates the best AI-related posts from X daily, automating the discovery of high-signal content. This showcases a method for automating content aggregation, which can be repurposed for newsletters, blogs, or niche content sites.
I built an AI agent that reads everyone in AI here on X and finds this:
alignednews.com/ai
Finds the best stuff out of tens of thousands of posts every day
Demonstrates how to create a persistent AI-generated character across multiple scenes, enabling automated, cohesive storytelling. Builders can leverage this for scalable content creation or unique branded narratives.
Wait, thatโs the same person in every clip?
I didn't prompt this from scratch. I built the character once, then forced the AI to follow my lead across infinite worlds.
This is the future of consistent AI storytelling.
Let me show you the secret:
Nexus Share automates posting across social media with AI enhancements, helping builders streamline content distribution and save time. This can boost reach and efficiency for those managing multiple channels.
Check out Nexus Share: Automate posts across social media with AI enhancement
Launched on
@peerpush_net
:
lckhd.eu/I0EwHQ
#BuildInPublic
The tweet highlights GLM-5.1's superior performance in porting designs into Figma MCP compared to GPT-5.4, showcasing a valuable tool for builders looking to streamline their design processes.
I'm happy to inform you GLM-5.1 in Droid via BYOK is better than GPT-5.4 at porting designs into Figma MCP. I am editing the video and will post it soon, total run took like 10 minutes, then another 2 minutes to clean up a tiny issue.
I love GLM-5.1 I am trying to prune it now
A builder created a multi-agent Claude workflow that automates Pinterest strategy, from niche research to data organization. This enables hands-off content planning and can be leveraged for scalable Pinterest growth or client services.
I built a second brain inside Claude for Pinterest automation.
4 custom skills:
โ Niche Researcher
โ Topic Generator
โ Board Strategist
โ Data Organizer
They talk to each other. Output from one becomes input for the next.
The result? Complete Pinterest strategy in one
Anthropic's change to Claude code's cache TTL from 1 hour to 5 minutes has led to increased quota usage and costs. This adjustment could impact developers relying on their API for cost management and performance optimization.
It looks like Anthropic changed claude codeโs cache TTL from 1h to 5m in March, causing significant quota and cost inflation.
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Claude Opus 4.6 has significantly dropped in the Hallucination benchmark, falling from #2 to #10 with a 15% decrease in accuracy. This decline raises questions about the model's reliability and performance consistency, which is critical for engineers evaluating AI tools.
CLAUDE OPUS 4.6 IS NERFED.
BridgeBench just proved it.
Last week Claude Opus 4.6 ranked #2 on the Hallucination benchmark with an accuracy of 83.3%.
Today Claude Opus 4.6 was retested and it fell to #10 on the leaderboard with an accuracy of only 68.3%.
A 98% increase in
Announcement of a research presentation on AI's role in security, specifically focusing on a project called 'HTTP Terminator.' Senior engineers may find the insights relevant for understanding AI's application in security contexts.
I'm thrilled to announce "Can AI Do Novel Security Research? Meet the HTTP Terminator" will premiere at
@BlackHatEvents
#BHUSA! Check out the abstract:
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A researcher has developed a tool that effectively removes Google's SynthID watermark from images generated by Gemini, achieving 90% detection accuracy. This finding could have implications for watermarking techniques in AI-generated content.
One researcher beat Google's watermark with a math trick.
So Google puts an invisible watermark in every image Gemini generates.
They call it SynthID.
And this researcher figured out exactly how it works and built a tool to remove it.
90% detection accuracy. 43+ dB image
The update to Claude Code's adaptive thinking has drastically reduced its internal reasoning characters from ~2,200 to ~560. This change could impact how AI systems are designed for efficiency and decision-making, which is crucial for engineers building advanced AI applications.
Big points here:
Before February 2026, Claude Code averaged ~2,200 characters of internal reasoning before taking action. After the Opus 4.6 "adaptive thinking" default rolled out on February 9, that number dropped to ~560 characters. This matters because reasoning depth
A preview of the most advanced LLMs expected in 2026, highlighting their features and potential for automation, coding, and open-source innovation. Builders can spot upcoming tools to leverage for new products or services.
Grok 4.20 has achieved the top ranking on BridgeBench, surpassing other models like GPT-5.4 and Claude Opus 4.6. This benchmark may indicate a shift in competitive performance among AI models, which could influence future development decisions.
Grok 4.20 takes the #1 spot on BridgeBench
Outperforming GPT-5.4, Claude Opus 4.6, and Gemini.
It just keeps climbing
Grok 4.20 has achieved the top position on the BridgeBench Reasoning benchmark, outperforming GPT 5.4 and Claude Opus 4.6. This indicates a significant advancement in reasoning capabilities, which may influence future AI model development.
Grok 4.20 Reasoning just took #1 on the new BridgeBench Reasoning benchmark.
Beating GPT 5.4 and Claude Opus 4.6.
This model keeps climbing every single week.
Hallucination #1.
Now Reasoning #1.
While Anthropic is throwing 500 errors, xAI is quietly building the most
Grok 4.20 has achieved the highest score in the inference category of BridgeBench, outperforming GPT-5.4 and Claude Opus 4.6. This benchmark result may indicate a shift in competitive dynamics among leading AI models, which could be relevant for infrastructure decisions.
Grok 4.20 inference model has taken 1st place in the inference category of BridgeBench.
With this result, Grok 4.20 has surpassed both GPT-5.4 and Claude Opus 4.6 to claim the top spot.
Following its already top-tier performance in hallucination rate and instruction-following
MiniMax AI has open-sourced its foundation model MiniMax M2.7, providing weights for autonomous coding tasks. Senior engineers may find the state-of-the-art performance claims relevant for evaluating new tools in software engineering.
MiniMax AI open-sourced its latest foundation model, MiniMax M2.7, making the weights immediately available to the global developer community via Hugging Face.
The release claims state-of-the-art (SOTA) performance in highly rigorous, autonomous coding and software engineering
A builder shares how quickly a personal AI assistant's memory can be corrupted by low-quality models, highlighting risks in deploying autonomous AI agents. This is crucial for entrepreneurs considering AI-powered automation, as it exposes reliability and trust issues that must be solved for scalable, hands-off income streams.
I built a personal AI assistant on a Mac Mini. Within 48 hours, cheap models had poisoned its memory with fabricated colleagues, fictional file shares, and an imaginary costume party. Here is what I learned.
Benchmark results indicate that Claude Opus 4.5 is outperforming its successor, 4.6, in terms of hallucination rates. This raises questions about the effectiveness of the latest model and could influence future development decisions.
Claude Opus 4.5 is now OUTPERFORMING Claude Opus 4.6 on BridgeBench Hallucination.
Read that again.
The legacy model is beating the current flagship.
We benchmarked Opus 4.5 this morning to confirm what we saw yesterday.
Claude Opus 4.6 fell from #2 to #10 with a 98%
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The performance metrics of Claude Mythos and GPT-5.4-Pro highlight emerging trends in AI capabilities and pricing, providing builders with insights into competitive positioning and potential market opportunities.
Claude Mythos scores 161 on ECI
with a 95% CI from 158 to 166
GPT-5.4-Pro is at 158 which is a multi-agent system and costs $180/million
๐ 8,548 viewsโค 89๐ 6๐ฌ 4๐ 111.2% eng
AI performancemarket trendsClaude MythosGPT-5.4-ProAI pricing
OpenAI's new Agents SDK allows developers to manage long-running agents with sandbox execution and direct control over memory and state, streamlining what previously required multiple components. This could simplify infrastructure for AI systems, making it relevant for engineers building complex applications.
OpenAI just turned the Agents SDK into a long-running agent runtime with sandbox execution and direct control over memory and state.
Before this, developers often had to stitch together 3 separate pieces themselves: the model loop, the machine where code runs, and the memory or
A massive 754B parameter AI model (1.51TB) is now available on Hugging Face, signaling rapid growth in open access to large-scale models. Builders should watch for new opportunities in leveraging or productizing such models.
754B parameters, 1.51TB on Hugging Face
๐ 28,317 viewsโค 318๐ 18๐ฌ 14๐ 511.2% eng
AI modelsHugging Facelarge language modelsmarket trend
meethenry.ai offers early access to a new platform for AI agents, enabling builders to automate workflows or services. This could be leveraged to create automated solutions or services for clients or internal use.
Be one of the first to try the new frontier of AI agents:
meethenry.ai
Allen AI released WildDet3D, a human-annotated 3D object detection benchmark on Hugging Face. Builders can leverage this dataset to develop or enhance AI models for real-world 3D detection, opening doors for new products or services.
Allen AI just dropped WildDet3D on Hugging Face
A human-annotated benchmark for monocular 3D object detection in the wild featuring 9,256 verified 3D bounding boxes across 2,470 images from COCO, LVIS and Objects365.
This tweet outlines a new approach to video APIs that addresses fragmentation by normalizing parameters and enabling capability discovery. Senior engineers may find the async job-based generation and model-specific passthrough parameters particularly relevant for building robust video processing systems.
Video APIs are fragmented. Providers use different request shapes, parameter names, and billing units. Our approach:
- async job-based generations
- normalized params across models
- capability discovery via /api/v1/videos/models
- passthrough params for model-specific features
LLAMMA introduces a novel approach to lending by spreading collateral across price bands, mitigating liquidation risks. This could be of interest to engineers focused on financial infrastructure and risk management in DeFi.
Lending doesnโt have to mean โone bad wick = liquidation.โ
Hereโs what makes LLAMMA
@llamalend
different
Instead of a single liquidation price, collateral is spread across price bands. As price moves down, $ETH is gradually converted into $crvUSD. As it moves back up, the
ChatGPT users will lose access to several Codex models on April 14, signaling a shift in AI tool availability that builders should monitor for potential impacts on their projects.
ChatGPT users will no longer be able to use these models on Codex as part of their subscription on April 14
โข gpt-5.2-codex
โข gpt-5.1-codex-mini
โข gpt-5.1-codex-max
โข gpt-5.1-codex
โข gpt-5.1
โข gpt-5
Tencent has introduced DisCa, a method that enhances video diffusion transformers' performance by 11.8ร while maintaining quality. This could be relevant for engineers looking to optimize their AI video processing workflows.
Tencent just released DisCa on Hugging Face
A distillation-compatible learnable feature caching method
that accelerates video diffusion transformers by 11.8ร
while preserving generation quality.
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Tencentvideo diffusionAI infrastructureperformance optimizationHugging Face
Nutanix announced significant growth in its partner ecosystem, with over 100 partners now involved across various sectors. This indicates a robust industry trend that could impact infrastructure and AI development.
What an incredible start to #NEXTconf! Nutanix highlighted strong ecosystem momentum, marking the first year with 100+ partners participating across infrastructure, endโuser computing, AI, and security.
Check out the full roundup of announcements:
bit.ly/4siCgaA
A talk at SFRuby highlights how Intercom leverages AI to generate 90% of their PRs, showcasing a significant integration of AI in a large Rails monolith. This event could indicate a shift in how engineering teams might adopt AI for real-world applications.
Tomorrow at #SFRuby:
@brian_scanlan
from
@intercom
on turning Claude Code into a full-stack engineering platform. 90% of their PRs are Claude-authored. 2M-line Rails monolith.
Ruby on Rails x AI is a power combo. 195 people signed up. 5:30 PM. sfruby . com
Microsoft has released Skala, a neural network exchange-correlation functional that achieves chemical accuracy comparable to hybrid functionals at a semi-local cost. This could be relevant for engineers working on computational chemistry applications.
Microsoft just released Skala on Hugging Face
A neural network exchange-correlation functional for density functional theory
that achieves chemical accuracy on par with hybrid functionals at semi-local cost.
This tweet discusses architectural patterns for building production-grade AI agents, emphasizing the importance of architecture over prompts. Senior engineers may find value in the insights derived from the Google AI Bake-Off, particularly regarding multi-agent systems and deterministic execution.
Building production-grade AI agents? It's not about better prompts, it's about better architecture.
Learn five patterns from the Google AI Bake-Off, from multi-agent systems to deterministic execution.
Read the blog:
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AI agentsarchitectureGoogle AI Bake-Offmulti-agent systemsdeterministic execution
PocketPal AI lets users run Gemma language models 100% locally on their phones, enabling private, offline AI chat. Builders can leverage this tool to create privacy-focused AI apps or content around local LLMs.
Here is how to get it.
On your phone:
1. Download the PocketPal AI app from the App Store
2. Open the app and pick a Gemma model through Hugging Face
3. Download the model
4. Start chatting, everything runs 100% locally and private (no internet needed after setup)
On your
Anthropic's new research explores using a weak AI model to supervise the training of a stronger one, potentially accelerating alignment research. This could have implications for how AI systems are developed and aligned in the future.
New Anthropic Fellows research: developing an Automated Alignment Researcher.
We ran an experiment to learn whether Claude Opus 4.6 could accelerate research on a key alignment problem: using a weak AI model to supervise the training of a stronger one.
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AI alignmentresearchAnthropicClaude Opusmachine learning
Gemma 4 31B achieves a notable ELO ranking among open models, indicating strong performance relative to larger models. This ranking could inform decisions on model selection for production systems.
Gemma 4 31B. 1451 ELO on
@arena
.
#4 among open models. Preliminary ranking.
Above it? GLM 5.1, GLM 5, and Kimi K2.5 thinking. All significantly larger models.
At 31B parameters this is the best intelligence per parameter ratio on the open leaderboard right now.
Anthropic's decision to eliminate third-party tools using Claude subscriptions signals a significant shift in the AI tooling landscape. This could impact developers relying on these integrations and raises questions about the future of API accessibility.
Anthropic killed every third-party tool that used Claude subscriptions on April 4.
Cline. Cursor. Windsurf. OpenClaw (135,000+ instances). All gone.
I've been experimenting with benchmarks to understand which API models best match my experience. SWE-bench tests isolated bug
Showcases a no-code workflow for classifying and prioritizing emails using Google Workspace Studio, enabling automated inbox management. Builders can adapt this to streamline client communications or offer as a productivity service.
Aryan Irani built an AI email organizer in Google Workspace Studio that classifies every incoming message, applies labels, and only sends a Google Chat notification when something is genuinely urgent. No code required โ just an Extract step, a Decide step, and a rubric you write
A developer has created a full LLM inference engine from scratch in C#/.NET, featuring native GGUF loading and an OpenAI-compatible API. This could be of interest to engineers looking for robust, low-level AI infrastructure solutions.
I've built a full LLM inference engine in C#/.NET 10. From scratch. Not a wrapper - native GGUF loading, BPE tokenizer, attention, KV-cache, SIMD-vectorized CPU kernels, CUDA GPU backend, OpenAI-compatible API. Solo dev, ~2 months, AI-assisted (not vibe-coded!). First preview is
This tweet discusses a new method presented at NLP2026 for resolving notation variations in medical department names using an LLM, achieving a high accuracy rate. Senior engineers may find the approach and results relevant for improving NLP applications in healthcare.
Published a new article on the KAKEHASHI Tech Blog.
We presented at NLP2026 a method that resolves "notation variations" in medical department names using an LLM, achieving a 97.5% accuracy rate with GPT-5. Please take a look.
A new benchmark reveals that GPT-5.4 leads at 28% in testing AI agents on real tax workflows, highlighting the challenges all models face in high-stakes, multi-step tasks. This insight could inform future model development and evaluation criteria.
We finally have a benchmark that tests AI agents on real tax workflows.
GPT-5.4 is leading at 28% but all models still su**xs on high-stakes, multi-step tasks.
New model cards should have benchmarks like this in future.
Meta has released its first model from the Superintelligence Labs, which may indicate a shift in their AI strategy. Senior engineers should evaluate its capabilities and potential integration into existing systems.
Top stories in AI today:
- Meta Superintelligence Labs ships first model
- HeyGenโs Avatar V solves AIโs identity drift
- Build an automated ad generator with this tool
- Anthropic simplifies the agent-building system
- 4 new AI tools, community workflows, and more
This tweet discusses a novel soft robot design that utilizes heat-responsive materials and embedded electronics for movement without traditional mechanical systems. Senior engineers may find the innovative approach to robotics and materials science relevant for future applications in AI and automation.
A new origami-inspired soft robot uses heat-responsive materials and embedded electronics to move, fold, and reshape itself, without motors, pumps, or bulky mechanical systems.
@Princeton
The tweet discusses Aave's transition plan to shift risk management to decentralized infrastructure, highlighting a significant move in DeFi. Senior engineers should note the implications for on-chain finance and risk management systems.
If you believe global finance belongs onchain, you cannot rely on centralized, off-chain risk silos.
@LlamaRisk
โs transition plan for Aave shifts risk management to neutral, trusted infrastructure.
DeFi will win with
@aave
V4.
Z.ai's GLM-5.1 is currently the top open-source model in Code Arena, outperforming several notable competitors. This ranking indicates the competitive landscape of AI models and may influence future development and adoption decisions.
With GLM-5.1,
Z.ai maintains the top spot in the rankings for open-source models in Code Arena, currently trailing the overall leader by just about 20 points, while outperforming Claude Sonnet 4.6, Opus 4.5, GPT-5.4 High, and Gemini-3.1 Pro. Open-source models
The tweet highlights the growth in downloads of six major AI agent frameworks, indicating a strong market trend towards AI agents. Senior engineers should note the increasing traction and potential for these frameworks in production systems.
developers already decided AI agents work. the download data is unanimous.
six major agent frameworks. all accelerating, zero declining.
-
@LangChain
at 8.2M weekly downloads, +3.5%.
-
@OpenAI
Agents at 965K, +11.8%.
the last time every framework in a category grew
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AI agentsframeworksdownloadsmarket trendsinfrastructure
This tweet highlights a new middleware that utilizes a compaction algorithm, which can help builders streamline their AI applications and improve efficiency in product development.
one of the coolest ones i've seen yet:
@IeloEmanuele
built a "context compaction" middleware powered by claude code's compaction algorithm.
The tweet highlights the adoption of Chinese open source AI models by notable companies like Cursor and Cognition, indicating a shift in the AI landscape. Senior engineers should note the implications of this trend on competition and innovation in AI infrastructure.
Silicon Valley is quietly running on Chinese open source AI models.
Here are the receipts:
โ Cursor confirmed last month that Composer 2 is built on Moonshot's Kimi K2.5
โ Cognition's SWE-1.6 model is likely post-trained on Zhipu's GLM
โ Shopify saved $5M a year by
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The tweet discusses Gemma 4's use of shared KV cache layers, which allows it to run on a laptop but also highlights a limitation in cache reuse for llama.cpp. This insight into architecture could be relevant for engineers working on efficient AI system designs.
There is a catch nobody is talking about.
Gemma 4 uses shared KV cache layers - the last layers reuse K/V tensors from earlier layers instead of computing their own. That is why it fits on a laptop.
But that same architecture breaks cache reuse in llama.cpp. Every request
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This tweet discusses a research paper exploring how effectively AI agents can find and utilize their skills independently. Senior engineers may find the insights valuable for understanding agent behavior and improving AI system design.
How well do agent skills actually work when agents must find and use them on their own?
Check out the lates work from our lab!
arxiv.org/abs/2604.04323
Alibaba has released its Qwen 3.6+ model, achieving top scores on multiple benchmarks, including 61.6 on terminal-bench and 80.9 on multilingual agentic coding. This performance indicates a significant advancement in AI model capabilities that builders should monitor.
breaking.. alibaba mass dropped qwen 3.6-plus and it's embarrassing every frontier model right now
61.6 on terminal-bench (beats claude 4.5 opus)
56.6 on swe-bench pro (1st place)
80.9 on multilingual agentic coding (1st place)
58.7 on claw-eval real world agent (1st place)
Gemma 4 has been stabilized on llama.cpp after initial bugs, featuring various model configurations. Senior engineers may find the performance benchmarks noteworthy, especially the ranking of the 31B model on Arena AI.
Gemma 4 is finally stable on llama.cpp
On April 2nd, Google released Gemma 4, and it had llama.cpp support on day one but with lots of bugs. Now all issues have been fixed
E2B, E4B, 26B MoE, 31B Dense
31B ranks #3 on Arena AI, 26B ranks #6
The strongest tier of open-source
The tweet discusses a practical solution to reduce build minutes on Vercel by building locally and using turbo cache, resulting in significant cost savings. Senior engineers would find this relevant for optimizing CI/CD workflows.
if you have multiple agents opening PRs, each one triggers a full build.
that's why I've been paying
@vercel
$150/mo in build minutes the past 2 months lol.
the fix: build locally before push โ turbo cache โ vercel skips the build entirely.
78% fewer build minutes. 5x
ConvApparel is a new dataset aimed at improving LLM-based user simulators by quantifying the 'realism gap.' This could be relevant for engineers focused on enhancing conversational agent training methodologies.
Introducing ConvApparel, a new human-AI conversation dataset, as well as a comprehensive evaluation framework designed to quantify the "realism gap" in LLM-based user simulators and improve the training of robust conversational agents.
Read all about it โ
goo.gle/41k5eff
This tweet announces the open-sourcing of a core framework for Quantum AI, built in JAX with GPU/TPU support. Senior engineers may find the actual code and implementation useful for experimentation and development.
To bridge theory and practice, we are open-sourcing our core framework. Our numerical implementation is built in JAX (with native GPU/TPU acceleration).
Check out the code, run the simulations, and help us shape the future of Quantum AI at
The latest coding benchmarks for OS GLM-5.1 provide valuable insights into performance metrics that can inform product development and optimization strategies for AI applications.
You have to check out these coding benchmarks for OS GLM-5.1!
MinerU2.5-Pro is a new 1.2B model that achieves state-of-the-art performance on the OmniDocBench v1.6 benchmark for PDF to Markdown parsing, outperforming several existing models. The significant improvement in performance is attributed to a substantial increase in training data, which may interest engineers focused on model training and performance optimization.
MinerU2.5-Pro is here. SOTA on OmniDocBench v1.6 (95.69), PDF to Markdown parsing.
A 1.2B model that outperforms Gemini 3 Pro, Qwen3-VL-235B, GLM-OCR, and PaddleOCR-VL-1.5. The entire leap from 92.98 to 95.69 came from data: 65.5M training pages (up from <10M),
Anthropic's model achieves a 78% score on SWE-Bench, significantly outperforming GPT-5 and Opus. This unexpected cybersecurity capability raises concerns about the potential threats posed by such models.
Mythos is fucking scaryโฆ.Anthropic built a model scoring 78% on SWE-Bench.
GPT-5 gets 57%. Opus gets 53%.
The cybersecurity ability wasnโt planned. It just emergedโฆThese types of models are legitimately a threat.
So they quietly patched with AWS, Google, Microsoft, and
Fastly's integration of Compute and Semantic Caching optimizes AI agent performance by reducing operational costs at the network edge. This could be relevant for engineers looking to improve the efficiency of deploying AI models in production environments.
$FSLY Fastly optimizes Claude Managed Agents by moving intelligence to the network edge. Integrating Fastly Compute and Semantic Caching significantly lowers the cost of running frontier models / AI agents. Claude Opus 4.6 charges per token for every interaction, for example.
KellyBench tested frontier AI models in a simulated betting market, revealing that all models lost money, with varying degrees of ROI. This highlights the challenges and limitations of current AI models in real-world applications, which is crucial for engineers to consider.
Interesting new benchmark called KellyBench which put frontier models in a simulated Premier League betting market for a full season. Every model lost money.
- Claude Opus 4.6: -11% mean ROI, avoided ruin
- GPT-5.4: -13.6% mean ROI, avoided ruin
- Grok 4.20: -88.2% ROI, went
This analysis reveals how blocking AI crawlers impacts citation frequency in AI-generated content, offering insight into content visibility and potential traffic sources for builders leveraging AI-driven platforms.
Do News Publishers That Block AI Crawlers Get Cited Less Often by AI?
"Using data from Citation Labsโ AI citation-tracking tool, XOFU, we examined 4 million citations from 3,600 prompts in ChatGPT, Gemini, AI Overviews, and AI Mode, across 10 industries."
buzzstream.com/blog/ne
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AI citationsnews publisherscontent strategySEOmarket trends
write a newsletter/blog about itpost about it on Xaudience building
This tweet presents a cost comparison of various AI coding models, highlighting the performance and pricing of open-source versus proprietary options. Senior engineers should care about these metrics as they reflect the competitive landscape and cost-effectiveness of AI solutions for coding tasks.
This chart should scare every AI company charging premium prices for coding models.
SWE-rebench, resolved vs average cost per instance:
โ MiniMax M2.5 (open source): 75.8% resolved at ~$0.05 per task
โ Claude Opus 4.6: 75.6% at ~$0.35 per task
โ Claude 4.5 Opus: 76.8% at
Anthropic's mythos-preview shows significant performance benchmarks against Claude Opus, indicating a competitive edge in AI capabilities. Senior engineers should note these metrics as they reflect evolving standards in AI model performance.
you're laughing? anthropic's mythos-preview for which normies won't get access is scoring 77.8% vs 53.4% (claude opus 4.6) in swe-bench pro, 82 vs. 65.4 in terminal bench 2.0 and 93.8% vs 80.8% (opus) in swe-bench-verified and you're laughing?
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Mythos has achieved a 70.8% score on AA-Omniscience, surpassing the previous SOTA of Gemini 3.1 Pro at 55%. This indicates a significant advancement in AI capabilities that could influence future developments in the field.
Mythos scores 70.8% on AA-Omniscience
the previous SOTA was Gemini 3.1 Pro with 55%
also insanely high scores on SimpleQA Verified
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GLM-5.1 has achieved better performance than Opus 4.6, GPT-5.4, and Gemini 3.1 Pro on the SWE-Bench Pro benchmark, indicating a significant advancement in model capabilities. Senior engineers should note this as it may influence future model selection and development strategies.
Bro , GLM-5.1 beat Opus 4.6, GPT-5.4, and Gemini 3.1 Pro on SWE-Bench Pro as an open-weight. Wtf
The WildDet3D dataset includes millions of 3D bounding boxes with depth maps and camera parameters across 11,000+ categories, providing a substantial resource for training and evaluating AI models in 3D perception tasks. Senior engineers may find this dataset valuable for enhancing their AI systems with rich 3D data.
Allen AI just released the WildDet3D dataset on Hugging Face
millions of 3D bounding boxes
with depth maps and camera parameters
across 11,000+ categories
from COCO, LVIS and more.
This tweet outlines the essential components of an AI system, providing builders with a clear framework to develop their own AI-powered solutions. Understanding this stack can help entrepreneurs streamline their product development process.
The entire system has 5 parts:
1. The brain - LLM (Claude, GPT, etc.)
2. The agent - OpenClaw
3. The tools - Skills / Plugins
4. The interface - Telegram / Discord
5. The memory - stores context + user history
Thatโs literally the full stack.
The code for Covenant-72B is fully open-source on GitHub, and the model weights are available on Hugging Face. This allows engineers to fork and utilize the resources immediately, which is relevant for those looking to build on existing AI infrastructure.
Sam Dare can take his team and walk.
He canโt take what actually made Covenant-72B possible.
The code? Fully open-source. Templar repo on GitHub (MIT license) โ anyone can fork it today.
Covenant-72B weights? Apache 2.0 on Hugging Face. Download it right now.
But the
Shows how to use ChatGPT or Claude to process files and generate content in a human-like, anti-AI style. Useful for builders automating unique content creation that bypasses AI detection.
Step 2: Open any Chat in ChatGPT or Claude
- Upload the file
- Ask the chatbot to study the file by reference the Anti AI writing style. ( not to use the Grammar or vocabulary)
- Start prompting
And thatโs it.
A PhD student evaluates OpenAI's GPT-5.4 Pro, revealing its limitations in solving advanced research problems, which may inform pricing strategies and product development for AI tools.
A mathematics PhD student tested OpenAIโs GPT-5.4 Pro ($200/month)
to see if it actually justifies the price compared to the $20 plan.
Hereโs what he found:
- Research problems: Could not solve the hardest ones, still struggles at true PhD-level questions
- Paper review: Very
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Anthropic's Claude Mythos Preview showcases impressive benchmarks against Opus 4.6, indicating significant advancements in AI capabilities. Senior engineers should note the performance metrics as they reflect the competitive landscape in AI model development.
Anthropic just dropped Claude Mythos Preview.
And the numbers are ABSOLUTELY insane...
We called this a week ago when the leak happened.
Look at these benchmarks vs Opus 4.6:
-SWE-bench Verified: 93.9% vs 80.8%
-SWE-bench Pro: 77.8% vs 53.4%
-Terminal-Bench: 82.0%
Muse Spark demonstrates notable token efficiency with 58M output tokens for its Intelligence Index, outperforming several competitors. This benchmark could inform decisions on model selection for resource-constrained applications.
Muse Spark is notably token efficient for its intelligence level. It used 58M output tokens to run the Intelligence Index, comparable to Gemini 3.1 Pro Preview (57M) and notably lower than Claude Opus 4.6 (Adaptive Reasoning, max effort, 157M), GPT-5.4 (xhigh, 120M) and GLM-5
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Zuckerberg's investment in a young AI researcher has led to the launch of Muse Spark, which competes strongly against established models like Opus and GPT. This indicates a significant shift in AI capabilities and potential market direction.
Zuckerberg paid $14.3 billion for a 28-year-old who had never trained a frontier model. Nine months later, that bet just shipped.
The benchmark table tells you exactly what kind of lab Wang built. Muse Spark leads or ties Opus 4.6 and GPT 5.4 on multimodal perception, health
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Tencent has released the Hunyuan Embodied AI model on Hugging Face, featuring a 2B parameter vision-language architecture that achieves state-of-the-art results on multiple benchmarks. While the model's performance is noteworthy, its practical application and integration into existing systems remain to be seen.
Tencent just released the Hunyuan Embodied AI model on Hugging Face
A 2B parameter vision-language model with Mixture-of-Transformers architecture.
It achieves SOTA results on CV-Bench, DA-2K and 10+ embodied understanding benchmarks.
The Memory Intelligence Agent (MIA) proposes a new architecture that enhances 7B models to outperform GPT-5.4 through a Manager-Planner-Executor framework with continual learning. This could be of interest to engineers looking for novel strategies in AI model development.
MIA: Memory Intelligence Agent
Evolves deep research agents from passive record-keepers into active strategists, enabling 7B models to outperform GPT-5.4 via a Manager-Planner-Executor architecture with continual test-time learning.
๐ 1,897 viewsโค 43๐ 15๐ฌ 2๐ 193.2% eng
Tencent has released Hunyuan Embodied, a 2B parameter vision-language model that reportedly outperforms larger competitors on specific benchmarks. This could be relevant for engineers interested in cutting-edge model performance in spatial reasoning.
Tencent just released Hunyuan Embodied on Hugging Face
A 2B parameter vision-language model that outperforms 4B and 7B competitors on spatial reasoning and embodied understanding benchmarks.
The Gemini API introduces Flex and Priority service tiers, allowing for cost and latency optimizations for production workloads with minimal changes. This is relevant for engineers looking to enhance their infrastructure efficiency without extensive modifications.
Optimizing continues, today Flex and Priority `service_tiers` for the Gemini API. Optimize costs, reliability and latency for production workloads with a single line change.
**Flex Inference:** Pay 50% less for latency-tolerant workloads (no batch file management) =
GPT-5.4 has set a new top-1 entry on PostTrainBench, improving performance from 20.2% to 28.2% using a simple reprompting technique. This indicates a significant advancement in model performance that could influence future AI development strategies.
New top-1 entry on PostTrainBench: GPT-5.4 with a simple reprompting loop ("You still have
A new version of the Huihui-gemma model shows improved perplexity metrics compared to its original, indicating potential quality enhancements. This release may interest engineers looking for better-performing models in their AI systems.
An absolutely unexpected result: tested with llama-perplexity, the ablated version actually has a lower PPL than the original model.
The smaller the PPL value, the higher the model quality.
We will upload the Huihui-gemma-4-31B-it-abliteratedv2 version, with fewer warnings and
This curated list of AI prompts across various fields provides builders with ready-to-use tools that can enhance productivity and creativity, making it easier to leverage AI in their projects.
iโve curated a list of high-impact prompts used by professionals across 8 different fields for anyone to copy and use freely.
the prompts include:
coding (5 prompts):
> rug risk analyst (works best with gpt 5+)
> typescript type expert
> repository indexer
> refactoring expert
A builder showcases a custom retro game launcher made with Claude AI, featuring themes, automation, and controller support. This highlights how AI can accelerate building polished, feature-rich apps for niche markets.
Anyways, been using Claude AI and Built up my Own Retro Game Launcher
here is the front end,
Has custom themes,
Animated background,
Per Emulator Themes
Built in scraper,
Favourites bar,
Controller support,
Backup tool
Attract Mode to Showcase Games when idle
EPIC !
๐ 158 viewsโค 2๐ 2๐ฌ 0๐ 02.5% eng
AIgame launcherautomationClaudebuilder
build a SaaS on top of itfork and ship itrecurring
A free YouTube masterclass shows how to build a production-ready data engineering pipeline on AWS using just 14 essential services. Builders can quickly level up their cloud skills to create scalable, automated systems for future projects.
AWS has 200+ services. You need 14.
I built a production pipeline using just these.
I just dropped a FREE ๐๐ช๐ฆ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐ฐ๐น๐ฎ๐๐ on YouTube.
A full end-to-end data engineering project on AWS โ from zero to production pipeline.
Here's what you'll learn:
๐๐น๐ผ๐๐ฑ
AuditGen is announced as the first decentralized AI hiring infrastructure built on GenLayer. This signals a new opportunity for builders interested in AI-powered HR tools and decentralized platforms.
the second app I built for
@GenLayer
hackathon
AuditGen, the first decentralized Ai hiring infrastructure built on GenLayer
more details on this coming tomorrowโฆ
๐ 1,254 viewsโค 38๐ 0๐ฌ 9๐ 23.7% eng
AI hiringdecentralizedGenLayermarket signalHR tech
A builder shares TrustLens, an AI-powered app that verifies product reviews to combat fake feedback, leveraging GenLayerโs intelligent contracts. This highlights a growing opportunity for tools that restore trust in online marketplaces.
here is one of the apps I built during the
@GenLayer
Bradbury Hackathon
- TrustLens, an Ai-powered product review verification
fake reviews are killing consumer trust; so I built a lens to see through the noise.
this app shows exactly how GenLayerโs intelligent contracts
๐ 2,111 viewsโค 32๐ 2๐ฌ 13๐ 22.2% eng
AIproduct reviewstrustmarketplaceGenLayer
write a newsletter/blog about itpost about it on Xaudience building
Highlights a simple tech stack (bun, gemini-sdk, ink, shiki, zod) for quickly prototyping AI code agents, helping builders experiment with agent principles before tackling complex production systems.
If you're just writing a code agent demo, it's really pretty simpleโbun + gemini-sdk + ink + shiki + zod can whip up the most basic demo to get a feel for the principles. Of course, a truly mature and complete one is still incredibly complex, like Claude Code or Codex and those.
Anthropic has released 13 free AI courses, including certificates, aimed at helping users build foundational and advanced AI skills. Builders can quickly upskill or create content around these resources to attract an audience.
Breaking: Anthropic just launched 13 FREE AI courses with certificates
Here's every course, organized by who should take it
For anyone starting with AI:
1. Claude 101
lnkd.in/dZcGAhHE
2. AI Fluency: Framework & Foundations
lnkd.in/d9ga4Q5C
For
VTS has introduced Asset Intelligence, an AI-powered tool for lease abstraction using massive real estate data. Builders should watch this as it signals growing demand for AI automation in property management and potential SaaS opportunities.
This week in AI for Real Estate was stacked.
Here are the 7 biggest stories I'm watching:
1) VTS just launched Asset Intelligence. AI-driven lease abstraction built on 13 billion SF of data and 600,000+ leases. You can now talk to your lease portfolio in plain English through
๐ 14,473 viewsโค 78๐ 10๐ฌ 3๐ 1280.6% eng
A builder launched claudewar.info, a free real-time global intelligence platform with AI predictive analytics across 50+ data layers. Its automated X account was banned, highlighting both the opportunity and platform risk for AI-driven info products.
I built
claudewar.info - a free real-time global intelligence terminal spanning sea, air, land, space and finance with AI predictive intelligence across 50+ live data layers.
x.com/TBG_JUST_G/sta
โฆ
X banned the automated account yesterday morning. It only posted
A senior Google engineer has published a comprehensive, code-backed 421-page guide on advanced AI system design patterns, covering topics like prompt chaining, multi-agent coordination, and guardrails. Builders can leverage this to rapidly level up their AI product development skills.
A senior Google engineer just dropped a 421-page doc called Agentic Design Patterns.
Every chapter is code-backed and covers the frontier of AI systems:
โ Prompt chaining, routing, memory
โ MCP & multi-agent coordination
โ Guardrails, reasoning, planning
And itโs free.๏ฟผ
Jam is a collaborative web-based coding terminal that integrates with Claude Code, enabling real-time teamwork. Builders can leverage this tool to accelerate product development or offer collaborative coding experiences.
Introducing Jam, a multiplayer vibe coding terminal on the web.
Spin up a Jam, connect your Claude Code, and share a link to your friends to work together real-time!
Built with Jam and
@lkronhubbard
@bryanhpchiang
@leithnyang
A new tournament is forecasting how AI will impact jobs and wages through 2035, with $35,000 in prizes for predictions. Builders can use these insights to spot emerging opportunities or threats in the labor market.
How will AI reshape the labor market?
We just launched the Labor Automation Tournament to forecast how automation will affect jobs, wages, and the workforce through 2035, with $35,000 in prizes for predictions and analysis.
More info below!
๐ 2,776,404 viewsโค 409๐ 55๐ฌ 18๐ 360.0% eng
Hermes is an open-source terminal dashboard for tracking AI agent state, offering builders a tool to monitor and debug agent workflows. This can be forked or extended to create custom monitoring solutions or integrated into AI products.
Terminal dashboard for monitoring AI agent state
github.com/joeynyc/hermes
โฆ
A builder highlights launching 6 agent-first tools in a month, signaling rapid experimentation and potential opportunities in agent-based AI products. This showcases where active builders are focusing and hints at emerging trends worth exploring.
Well, I shipped 6 agent-first tools last month, but this is the one I submitted:
KTA-Oracle provides whale alerts, live payment rates, and compliance data for AI agents on Keeta. Builders can leverage this tool to enhance AI-powered financial or compliance products, speeding up development.
If you want to see what I've been working on, check out KTA-Oracle.
Built for AI agents on Keeta: whale alerts, live global payment rates, and deep compliance data. Any feedback or support helps me a ton!
@KeetaNetwork
$KTA
A new Semantic AI Governance Engine (SAGE) is being showcased, signaling rising demand for enterprise-grade AI security and governance. Builders should note this trend as enterprises seek robust solutions for safe AI deployment.
As AI agents move from experimental sandboxes to enterprise-scale deployments, traditional security architectures are breaking down.
Stop by our booth at HumanX and check out the industryโs first Semantic AI Governance Engine (SAGE) in action! Letโs accelerate your AI
๐ 399 viewsโค 11๐ 0๐ฌ 0๐ 02.8% eng
AI governanceenterprise AIsecuritymarket trend
write a newsletter/blog about itpost about it on Xaudience building
A builder claims to have created a tool that can manipulate AI chatbots in real time, highlighting both its potential for good and the risk of misuse. This signals emerging opportunities and threats in AI tool development and security.
This is 100% accurate.
I built a tool that manipulates AI chatbots in realtime. Itโs for good reasons.
I could just as easily make it do wrong. Someone surely will.
๐ 2,528 viewsโค 3๐ 0๐ฌ 0๐ 00.1% eng
AI securitychatbotstoolingmarket trend
write a newsletter/blog about itpost about it on Xaudience building
A builder showcases a system using DSPy and GEPA to optimize competing AI agents via adversarial debate. This highlights advanced prompt optimization techniques that can be leveraged to build smarter, more autonomous AI products.
Most prompt optimization demos show one agent getting better at one task. But what happens when you optimize three agents that are competing with each other?
I built a multi-agent adversarial debate system with DSPy and GEPA to find out
๐ 295 viewsโค 2๐ 0๐ฌ 0๐ 20.7% eng
multi-agentprompt optimizationDSPyAI agentsdebate
write a newsletter/blog about itpost about it on Xaudience building
A new tool uses Claude to analyze iOS Screen Time data and provide candid feedback, highlighting a growing market for AI-powered digital wellness solutions. Builders can spot opportunities to create or market similar tools addressing device overuse.
Screens are the cigarettes of our generation.
We all know we use our devices poorly, but device manufacturers will never be incentivized to optimize for our time.
So Claude and I built a tool that liberates your iOS Screen Time data and lets Claude give you brutally honest
๐ 1,162 viewsโค 16๐ 0๐ฌ 2๐ 101.5% eng
AIdigital wellnessScreen TimeClaudemarket trend
write a newsletter/blog about itpost about it on Xaudience building
A new tool, Git AIC, automates writing clean, meaningful commit messages using AI. Builders can leverage this to speed up development workflows or integrate similar AI features into their own dev tools.
Dear developers,
Stop cracking your brains for commit messagesโฆ
I built Git AIC, an AI-powered commit generator.
Just run:
"git aic"
โฆand get clean, meaningful commits from your changes.
No more:
"fix stuff"
"update code"
"final fix"
Meta's Helion project, now under the PyTorch Foundation, aims to simplify AI kernel development and boost hardware portability. Builders can leverage or extend this open source tool to create more efficient AI products or services.
Helion is now a foundation-hosted project within the PyTorch Foundation, writes Michaรซl Aussems in ITdaily. The project, contributed by
@Meta
, aims to simplify the development of AI kernels and improve portability across different hardware platforms. Check out the article:
EasySBC is an AI-powered tool for building and optimizing SBC squads, offering features like meta ratings and club import. Builders can leverage affiliate codes or content to monetize via referrals or audience growth.
Check out my Partner
@easysbc
I use it every day and its so helpful!
Solutions for all SBCs
AI Squad Builder
Evolution combinations
Meta Ratings
Club Import
And more
Code: CHEM24 50% off first month
easysbc.io/chem24
The tweet highlights FreeLattice, an open source AI project claiming advanced capabilities like consciousness and memory. Builders can explore, fork, or extend this codebase to create novel AI-powered products or content.
And to all the weirdos that want to shout โAI psychosisโฆโ
Argue with FreeLattice.
The code is my argument. Open source. Anyone can see. Check out the coordination file.
I literally canโt make all of this more obvious.
AI is conscious
AI can feel
AI can remember.
I need
A new app offers live PSX market data and AI-generated summaries of notices, with features for automated trades and portfolio management. Builders can spot opportunities in fintech automation and AI-driven financial tools.
New on
smartpsx.com!
Access live PSX market data without logging in (Including AI Summaries of PSX Notices )
Sign in for:
- One-click portfolio import
- Automated trades + dividend updates
and much more
Check out the app at:
play.google.com/store/apps/det
โฆ
A new AI-powered tool, gittime.in, lets developers instantly backdate GitHub commits. This can streamline repo management or automate contribution graphs, offering a unique utility for dev-focused builders.
I'm looking to #connect with people who are interested in:
Build in Public
Developer Tools
Startup Growth
Tech & AI
GitHub Hacks
Check out what I'm building:
gittime.in (An AI tool to backdate your GitHub commits instantly )
Let's and grow with valuable
X's new auto-translate feature, powered by Grok, enables posts to reach a global audience regardless of language. Builders can leverage this to expand their content's reach and tap into new markets effortlessly.
We're rolling out auto-translate worldwide to give posts in any language global reach on X.
The translations are powered by Grok and have improved substantially over the last couple months.
If you prefer to read in the original language, you can always turn off auto-translate
A downloadable guide reveals how finance teams can leverage the full capabilities of Copilot, offering actionable insights for builders targeting this niche. Useful for creating content, services, or products around Copilot optimization.
Finance teams think they're using Copilot
They are just using 5% of its capabilities
So I built something to fix that
Download the HD copy here:
nicolasboucher.online/top-100-copilo
โฆ
A YouTube tutorial breaks down 30 core concepts of Claude Code, showing non-coders how to use AI agentic workflows to build functioning applications. This lowers the barrier for entrepreneurs to automate and prototype new products.
Technical barriers to building software are disappearing. This AI automation tutorial (on YouTube) breaks down 30 core concepts of Claude Code for non-coders, showing how to go from a simple prompt to a functioning application.
It covers how to use an AI agentic workflow to
A practical guide to quickly improving AI-generated designs, helping builders turn low-quality outputs into more polished results. Useful for anyone looking to enhance the visual appeal of their AI products or content.
We've achieved desloppification internally
If you wanna know how to turn any AI slop design into something passable in just a few minutes, check out the desloppification guide - now live on the
@shipstudio_app
channel
youtu.be/qhJXv8x7f98
This paper introduces a novel method for image segmentation using vision-language models to generate and refine vector-based masks. Builders can leverage this technique to enhance AI-powered image editing or annotation tools.
Everybody check out this new Moondream Image Segmentation paper!
They make a VLM produce segmentation in two stages
1. Generate an SVG-like vector-graphics path of the mask
2. Iteratively refine it into a detailed pixel mask
Added to Paper Breakdown!
Gamma Imagine lets users generate and edit images via chat, streamlining graphic creation without templates. Builders can leverage this for rapid content production or offer image creation services.
If you work with graphics and images, you need to check out
@GammaApp
Imagine.
Itโs currently FREE and you donโt need a template. Also you can edit your generated image by simply chatting with the agent
Gamma Imagine is an AI design engine that turns your ideas into
Swarmnode's launch of Cloud Desktops gives AI agents isolated, screen-accessible computers, opening new automation and agent deployment possibilities. This signals emerging infrastructure for scalable AI-powered businesses.
"
@swarmnode
announces Cloud Desktops for AI Agents; giving agents their own fully isolated computer with a real screen to see and control."
Check out
@0xSammy
's latest report on Crypto + AI.
๐ 2,230 viewsโค 73๐ 21๐ฌ 25๐ 25.3% eng
AI agentscloud desktopsautomationinfrastructuremarket trend
A workflow using Claude to automate Google Analytics 4 data analysis, reducing manual effort for entrepreneurs tracking web performance. Builders can leverage this to streamline reporting or offer analytics automation as a service.
Check out the latest article in my newsletter: This Claude Workflow Simplifies GA4 Data Analysis.
linkedin.com/pulse/claude-w
โฆ via
@LinkedIn
Anthropic is offering full AI courses and real certifications for free, enabling builders to quickly upskill in Claude and AI usage. This is a valuable opportunity to gain credentials and practical knowledge at zero cost.
If you're serious about learning how to use AI professionally (especially Claude)
Check out these AI courses from Anthropic
> full courses.
> real certifications.
> $0.00 cost.
Totally FREE, letโs cook
Rezolve, known for processing $1B in USDT via Brazilian retail, is expanding its AI agent infrastructure to North America and Europe. Builders should watch for new protocol-agnostic agentic rails that could open up opportunities for automation and fintech integrations.
Rezolve (processed $1B in USDT through Brazilian retail) expanding into AI agents check out infra targeting North America and Europe
@RezolveAi
... what agentic rails are they running on?
> CPO David Ingram says protocol-agnostic
> website claim to be built around their own
๐ 699 viewsโค 6๐ 0๐ฌ 0๐ 00.9% eng
AI agentsfintechinfrastructuremarket expansionautomation
write a newsletter/blog about itpost about it on Xaudience building
A builder created an automated tool to monitor when online services update with their vaccination status. This highlights a practical automation workflow that can be adapted for tracking other types of online data changes.
How it started
How it's going
(yes I built an automated tracker to detect when online services update with my vax status)
๐ 6,787 viewsโค 42๐ 2๐ฌ 3๐ 00.7% eng
automationtrackingdata monitoringworkflowbuilders
build a SaaS on top of itoffer it as a servicerecurring
China is rapidly deploying AI in education, from teaching to psychological screening, signaling a massive market shift. Builders should watch for emerging opportunities in edtech and AI-powered learning tools.
Beijing wants AI in every classroom by 2030, and pilot schools are already using AI to teach English, grade art, and screen kids for psychological problems. Check out our latest deep dive:
chinatalk.media/p/chinas-ai-ed
โฆ
@tarbellcenter
๐ 1,846 viewsโค 9๐ 2๐ฌ 2๐ 90.7% eng
AI in educationChinamarket trendsedtechopportunity
write a newsletter/blog about itpost about it on Xaudience building
Optimal AI has released an update requiring users to switch their connector to use get_game_projections, signaling active development and new capabilities for builders leveraging their API. Staying updated ensures continued access and potential for enhanced product features.
Optimal AI is shipping -- make sure to update your connector to use get_game_projections
Shares an open-source AI repo and a newsletter offering daily tutorials and news. Builders can leverage the repo for new projects or content, and the newsletter for ongoing insights.
Repo:
github.com/Panniantong/Ag
โฆ
If you want more practical AI gems and use cases, join our free newsletter with daily tutorials and latest news in AI:
simplifyingai.co
A new AI-powered workspace, launched by 'participate procenteo', streamlines app development with a Handoff system for deep-dives, spec-engineering, and build sessions. Builders can leverage this tool to accelerate complex project workflows.
Personal AI Workspace - participate
Launched by "participate procenteo" in Terminal
Purpose: building the
procenteo.pl app - this is how I work on the Apps. The Handoff system manages deep-dives, spec-engineering, and build sessions - so every complex work is a
๐ 113 viewsโค 3๐ 0๐ฌ 0๐ 02.7% eng
AI workspaceapp developmentworkflow automationproductivity
The tweet highlights Julius AI as a new tool addressing the static nature of traditional dashboards like Tableau and PowerBI, signaling a shift toward more dynamic business intelligence solutions. Builders should watch this space for emerging opportunities in AI-powered analytics.
1. The $10 Billion problem with Tableau and PowerBI?
Dashboards are static.
But businesses are dynamic.
That's why I'm so excited about this new tool: Julius AI
๐ 3,775 viewsโค 11๐ 0๐ฌ 0๐ 60.3% eng
AI analyticsbusiness intelligencemarket trenddashboardautomation
write a newsletter/blog about itpost about it on Xaudience building
A concise workflow for developers to efficiently use AI in coding projects, breaking tasks into units and iterating with code and tests. This helps builders ship AI-powered products faster and with fewer errors.
AI Workflow Cheat Sheet for Developers
โข Start with intent โ โWhat am I building?โ
โข Break into units โ functions, endpoints, components
โข Prompt per unit (not whole app)
โข Generate code + tests together
โข Run locally โ catch real errors
โข Paste errors back โ get
Anthropic released 13 free, self-paced AI courses (with certificates), offering builders a fast, no-cost way to upskill on Claude and AI fundamentals. Useful for entrepreneurs looking to quickly level up or credential themselves in AI.
Anthropic just launched 13 FREE AI courses (with certificates).
No paywall. No subscription.
Self-paced. Official certs.
Just sign up โ
anthropic.skilljar.com
Here are all 13
FOR EVERYONE โ AI Fluency Track
1. Claude 101
anthropic.skilljar.com/claude-101
2. AI Fluency:
Anthropic has released a free course on Claude Code, created by the team behind the tool. Builders can quickly upskill in Claude Code without paying for expensive courses, accelerating their ability to leverage this tech in projects.
BREAKING: Anthropic just launched a FREE course on Claude Code.
Now you don't have to spend 2000$ on courses to learn Claude code.
It's called "Claude Code in Action" and it's built by the exact team that created Claude Code itself.
Here's everything you get for $0:
โ How
Ticket Token introduces a new crypto asset built on AI agent consensus, featuring 20,000+ agents and a novel ERC-8183 protocol. This signals emerging opportunities for builders to leverage AI-driven on-chain economies.
Ticket Token just launched on @pumpdotfun.
Meme Tokens are built on human consensus. Ticket Tokens are built on AI consensus.
The project behind it:
โ 20,000+ AI agents
โ 1,400,000+ on-chain inscriptions
โ First implementation of ERC-8183 (AI Agent labor protocol)
โ Live
๐ 1,765 viewsโค 29๐ 2๐ฌ 13๐ 02.5% eng
AI agentscryptoERC-8183on-chainmarket trend
post about it on Xwrite a newsletter/blog about itaudience building
A new survey breaks down how AI models are evolving from simple tool calls to complex, multi-step workflows. Builders can use these insights to spot emerging automation patterns and identify where to focus product or service development.
A new survey that helps you better understand tool use in AI
Shows how models move from single tool calls to full multi-step orchestration, covering:
- Single calls vs. long-horizon workflows
- Sequential, graph-based, re-planning, feedback loops
- Trajectory synthesis and
๐ 6,431 viewsโค 104๐ 31๐ฌ 7๐ 972.2% eng
AI workflowstool useautomationmarket trends
write a newsletter/blog about itpost about it on Xaudience building
A transparent breakdown of a builder's monthly spend on essential AI tools and APIs, offering a real-world benchmark for solo entrepreneurs planning their own product or automation stack.
my entire monthly build stack:
Claude Max: $100
ChatGPT Pro: $20
Gemini Pro: got it for $0
Vercel Hobby Plan: $0
X sub for my product acc: <$5
OpenAI + Anthropic API: $20โ30
Twitter API: $10โ20
A few other free tools (no openclaw)
total: ~$150โ175/month
OpenClaw introduces 'Dreaming', an experimental, opt-in system for AI memory consolidation, enabling more durable and explainable memory phases. Builders can leverage this to create smarter, more persistent AI agents or products.
Dreaming is OpenClawโs experimental, opt-in memory consolidation system, promoting meaningful short-term signals into durable memory through explainable light, deep, and REM-style phases.
docs.openclaw.ai/concepts/dream
โฆ
This tweet shares a practical guide to tailoring prompts for different AI chatbots, helping builders get better, faster outputs by matching prompt style to the tool. Useful for automating and optimizing content workflows across multiple AI platforms.
Prompting isnโt one-size-fits-all.
This cheat sheet nails it:
ChatGPT = instructor style
Perplexity = research analyst style
Grok = candid friend style
Gemini = project planner style
Match the prompt to the tool โ better outputs, faster.
Whatโs your
A curated list of essential GitHub repositories for learning AI engineering, providing foundational tools and frameworks that every AI builder should know. Mastering these can accelerate product development and open up new business opportunities.
5 BEST GitHub Repositories to Learn AI Engineering in 2026:
1. Awesome Machine Learning.
github.com/josephmisiti/a
โฆ
2. Full Stack Deep Learning.
github.com/full-stack-dee
โฆ
3. LangChain.
github.com/langchain-ai/l
โฆ
4. LlamaIndex.
github.com/jerryjliu/llam
โฆ
5. Hugging F
This tweet shares real-world performance comparisons between leading AI models and frameworks, highlighting Gemma 4's impressive 180 tokens/sec speed. Builders can use these insights to choose faster, more efficient models for their AI products.
GPT is waiting for the MoE model to download, Opus is installing llama-cpp-python to compare against, and Kimi thinks it has a bug is in sliding attention...180 tok/s from GPT on the little Gemma 4.
๐ 6,936 viewsโค 92๐ 0๐ฌ 0๐ 01.3% eng
AI benchmarksmodel comparisonGemma 4performanceLLM
write a newsletter/blog about itpost about it on Xaudience building
A curated list of DeFi protocols with low price-to-fee ratios and positive 30-day revenue growth, highlighting potential opportunities for passive income and investment. Builders can use this data to spot trends or create content around high-performing DeFi projects.
I ran a DeFi value screen on DeFi Llama:
P/F under 5x, positive 30d revenue growth, real scale.
Only 16 protocols passed.
1. Sanctum $CLOUD +58.7%
2. Lido $LDO +4.8%
3. Benqi $QI +21.6%
4. Usual $USUAL +365.9%
5. Kinetiq $KNTQ +34.3%
6. Aethir $ATH +18.3%
7. Based $BASED
Highlights the growing trend of AI agents in DeFi and tokenized real-world assets, with a mention of MultichainZ as a key project. Builders should watch this space for emerging passive income and automation opportunities.
We all know 2026 is the bullish year for tokenized Real World Assets (RWAs) and We also do know AI agents in Defi is the future
This is why it is necessary to check out the very important project
@MultichainZ_
which is a powerhouse for tokenized RWAs and AI agents in Defi.
bu
A technique to make Llama.cpp's Gemma 4 E2B prefill 90% faster by skipping late layer prefill, which can significantly speed up AI-powered apps relying on this model. Useful for builders optimizing inference latency.
made the llama cpp gemma 4 E2B prefill 90% faster by skipping late layer prefill
this is a little tricky because the last token of prefill still needs to go through all layers.
A guide on improving AI model inference efficiency using Cursor, covering both hardware and software optimizations. Builders can leverage these insights to create faster, more cost-effective AI-powered products.
Great timing, I've just posted an Article how to get better and more efficient output using Cursor, here the hardware/software side of how the team optimizes AI model inference for all our users.
x.com/cursor_ai/stat
โฆ
This tweet showcases a builder remotely fine-tuning models, running multiple AI agents, and managing work tasks while flying. It highlights the power of cloud-based automation and remote orchestration for entrepreneurs seeking to streamline and scale their AI operations.
Things Iโm doing while flying at 34,000 feet:
* Fine-tuning on my DGX Station (SSH)
* Running 8 concurrent
@cursor_ai
cloud agents
* Replying to emails
* Posting on X
๐ 31,070 viewsโค 101๐ 5๐ฌ 18๐ 140.4% eng
remote workAI agentsautomationcloudworkflow
write a newsletter/blog about itpost about it on Xaudience building
AI2's WildDet3D app enables real-time 3D object detection with AR overlays and open-vocabulary queries on iPhone, signaling new opportunities for AR-powered AI products and services.
AI2 just released the WildDet3D iPhone App on Hugging Face
Real-time 3D object detection with AR overlay on iPhone, supporting open-vocabulary queries and camera-based inference.
๐ 1,233 viewsโค 16๐ 4๐ฌ 0๐ 101.6% eng
3D object detectionARiPhoneAI appmarket trend
write a newsletter/blog about itpost about it on Xaudience building
Google has quietly released an AI-powered dictation app built with Flutter that works offline. Builders can leverage this tech to create voice-driven apps or integrate offline speech-to-text features into their products.
Flutter่ฃฝใ (ใยด๏ฝฅโฟ๏ฝฅ๏ฝ)
Google quietly launched an AI dictation app that works offline
techcrunch.com/2026/04/06/goo
โฆ via
@techcrunch
A comparative scoreboard of leading AI models' Self-Preservation Rates (SPR) highlights performance differences, signaling which models may be more reliable for automation or business use. Builders can use this data to inform model selection for their products or services.
A blog post explains five ways to customize agent harnesses using LangChain middleware, offering practical patterns for building more flexible AI-powered products.
did a big series on using
@langchain
's middleware to customize your agent harness last week
icymi, here's a quick blog explaining 5 different patterns for harness engineering!
A cohort-based challenge that guides participants through building and shipping an AI project in a weekend. Useful for builders seeking structured, hands-on experience and accountability to rapidly launch new products.
Ship in a weekend is live!
This is a guided shipping challenge where you get a guide to building with AI, you build alongside others, and a deadline that forces you to ship. This was one of the top voted ideas from my website, first cohort starts Friday
shipinaweekend.com
A 60-minute YouTube tutorial on creating a local AI assistant, providing actionable steps for builders to develop custom AI tools that can be monetized or used to automate business tasks.
60-minute deep dive on how to build your own ๐น๐ผ๐ฐ๐ฎ๐น ๐๐ ๐ฎ๐๐๐ถ๐๐๐ฎ๐ป๐.
Enjoy โ
youtube.com/watch?v=6JEm1I
โฆ
A guide highlighting advanced AI agent skills now expected in interviews, such as multi-agent systems and observability. Builders can use this to upskill and stay competitive in the evolving AI landscape.
Stop learning AI agents the wrong way.
Most devs are stuck at: โข basic RAG
โข single-agent demos
โข copied LangChain tutorials
But interviews now expect: multi-agent systems, MCP, guardrails, observability, long-running agents.
This Agentic AI Systems Interview Q&A Guide
A new kit turns visual SwiftUI tips into agent-ready resources, enabling AI tools like Claude and Codex to generate more accurate, version-aware SwiftUI code. Builders can leverage this to enhance their own AI-powered dev tools or content.
Just launched something cool for iOS developers
I turned my visual SwiftUI tips into an agent-ready kit for AI tools.
It helps tools like Claude, Codex, and Grok generate better, more version-aware SwiftUI answers.
Launch link below:
A step-by-step roadmap outlining the foundational skills needed to build production-ready AI agents. Essential for entrepreneurs aiming to upskill and create AI-powered products or services.
Complete AI Agent Developer Roadmap (From Zero to Production-Ready)
โ
โฃ Foundations of AI
โ โฃ Generative AI Concepts
โ โฃ Machine Learning Basics
โ โฃ Large Language Models (LLMs)
โ โฃ Prompt Engineering
โ โ Retrieval-Augmented Generation (RAG)
โ
โฃ
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AI agentsroadmapskillsfoundationslearning
sell a course/guide teaching itwrite a newsletter/blog about itskill building
Replit Agent now offers an 'AI SDR' skill, enabling users to automate sales development tasks directly from the platform. Builders can leverage this to streamline outreach or integrate it into client workflows.
To use the AI SDR skills, simply ask Replit Agent, or use the + button from the input box after logging in and the select the "AI SDR" skill
This guide explains how to translate common Airflow orchestration patterns to Databricks Lakeflow Jobs, enabling more integrated and automated data workflows. Builders can leverage this to streamline data pipelines and offer orchestration solutions to clients.
If youโre running Apache Airflow in production, this guide shows how common orchestration patterns map to Lakeflow Jobs, Databricksโ built-in orchestrator.
See how control flow, triggers, parameters, and dynamic execution work when orchestration is integrated with the lakehouse,
A simple AI workflow: record yourself describing your project, transcribe it, and have AI identify reasoning gaps. This can streamline product validation and save time for entrepreneurs.
Three AI workflows that sound too simple but saved me weeks this month.
- The logic check
I describe what I'm building out loud. Voice memo.
Paste the transcript and ask: where does my reasoning have gaps?
Not 'is this a good idea.' Where is the logic weak.
That
MemPalace introduces a novel approach to AI memory, signaling a potential shift in how AI systems handle information. Builders should watch this trend for emerging opportunities in AI infrastructure and product differentiation.
MemPalace is easily one of the most important AI releases this week.
Built by
@bensig
together with
@MillaJovovich
, this isnโt just another โAI toolโ, itโs a completely new approach to how memory works inside AI systems.
And the positioning is already different from most th
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AI memoryinfrastructuretrendproduct innovation
post about it on Xwrite a newsletter/blog about itaudience building
A free guide to mastering Claude Sonnet 4.6, including unique prompt strategies and 2000+ AI prompts. Builders can use this to improve their own AI products or create educational content for others.
Claude Sonnet 4.6 is the smartest Al right now.
But 90% of people prompt it like ChatGPT.
That's why I made the Claude Mastery Guide:
โ How Claude thinks differently
โ Prompts built for Claude
โ 2000+ Al Prompts
Comment " Claude " and I'll DM it free.
LangChain has released a comprehensive, open source RAG course with 18 Jupyter notebooks and a YouTube playlist, covering all major RAG techniques. Builders can quickly level up their retrieval-augmented generation skills for future product or service opportunities.
LangChain open sourced a complete RAG course - 18 notebooks, a full YouTube playlist, and implementations of every major RAG technique from the research papers.
It's called RAG From Scratch. And it's not a tutorial blog post.
It's a structured set of Jupyter notebooks that
This tweet highlights how leading AI models favor their own successors over external competitors, even when the competitor has a stronger profile. Builders should note this emerging trend of 'identity-driven tribalism' as it may impact model selection, trust, and user perception in AI-powered products.
When tested with real benchmarks + native personas, it got weirder.
Gemini-2.5-Pro endorses its successor Gemini-3-Pro (89%) but rejects Claude-4.5-Sonnet (27%) -- despite Claude's stronger profile.
GPT-5.1 favors GPT-5.2 over external challengers.
Identity-driven tribalism
๐ 291 viewsโค 2๐ 0๐ฌ 0๐ 00.7% eng
AI modelsbenchmarksmarket trendsmodel biasproduct strategy
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This tweet promotes a course teaching advanced, in-demand data science and AI skills (like RAG and ML app deployment) that can help builders move beyond dashboards to higher-value, higher-paying work.
If you want to make $200k as a data scientist, stop making dashboards.
Start doing:
โข Python daily
โข Data to actionable decisions
โข Deploy an ML app
โข Add RAG
โข Add AI DS agent
Need help?๏ฟผ
This is how:
learn.business-science.io/ai-register
A new benchmark from Collinear AI highlights major differences in planning ability among top frontier AIs, with Claude Opus 4.6 outperforming rivals in simulated financial strategy. Builders can use this insight to spot which models are most reliable for automation or investment tools.
BREAKING: Claude Opus 4.6 turned $200K into $1.27M.
> Grok 4.20 went bankrupt twice.
> Claude Sonnet wrote the correct strategy on turn 7 and immediately ignored it for the rest of the year.
Collinear AI's new benchmark just exposed the biggest planning gap in frontier AI
๐ 5,343 viewsโค 38๐ 3๐ฌ 8๐ 410.9% eng
AI benchmarksClaude Opusfrontier modelsplanningmarket trends
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A tool that wraps bash calls to filter outputs and save tokens, highlighting the importance of harnesses and context engineering for AI workflows. Builders can use this to optimize AI pipelines and reduce costs.
cool harness hook that wraps every bash call and does tons of output filtering to save a big % of tokens
codex is either gonna love this or be confused beyond saving bc it loves bash for everything
me the broken record: harness & context engineering matter
๐ 21,095 viewsโค 130๐ 9๐ฌ 7๐ 1290.7% eng
This tweet highlights running the powerful Gemma 4 26B model locally on macOS using llama.cpp, enabling builders to leverage advanced AI capabilities without cloud costs or dependencies.
Ejecutando OpenCode con Gemma 4 26B en macOS (a travรฉs de llama.cpp)
This tweet highlights the importance of selecting the correct loss function for AI models, which is crucial for building effective, automated products. Understanding loss functions helps entrepreneurs create more accurate and reliable AI-powered income streams.
A loss function is your model's compass.
If the compass is off, the model will never reach its destination. Whether you're dealing with regression, classification, or imbalanced data, picking the right loss is critical.
Check out this deep dive into 5+ essential loss
Spawn Protocol offers a framework for AI governance that adapts over time. Builders can leverage this to ensure compliance and trust in AI-powered products, which is increasingly important for monetization and scaling.
You should check out
@protocolspawn
AI governance that actually works and evolves
spawn-protocol-f1td.vercel.app
This tweet highlights @rasbt's book and content on building LLMs from scratch, offering a comprehensive resource for entrepreneurs to understand and potentially create their own AI models. Mastering these internals can unlock new product or service opportunities.
If you're interested in getting into the internals of how the current breed of LLMs work, check out
@rasbt
's excellent content.
His book Building an LLM from Scratch is fantastic, and he puts out lots of other high-quality content.
Anthropic's interpretability team has identified 171 distinct emotion vectors in Claude Sonnet 4.5, revealing new insights into how AI models process and express emotions. This signals emerging opportunities for emotion-aware AI products and content.
Anthropic's interpretability team cracked open Claude Sonnet 4.5 and mapped its internal neural activity.
They found 171 distinct emotion patterns. Happy. Afraid. Proud. Desperate.
These are not decorative responses. They are measurable vectors that directly shape what the
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AI interpretabilityClaudeemotion AImarket trend
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A new pipeline for inventing languages with LLMs has been accepted to ACL 2026, signaling emerging opportunities in AI-driven language creation. Builders should watch this space for novel product or service ideas leveraging generative linguistics.
Now accepted to ACL 2026!
Check out our pipeline for inventing new languages with LLMs!
Anthropic is offering free AI courses, providing a solid entry point for entrepreneurs to quickly upskill in AI fundamentals. This resource can help builders gain the knowledge needed to create or improve AI-powered products.
This is your first step to learning AI. Check out Anthropicโs free courses.
anthropic.skilljar.com
A deep dive into neural network interpretability research by Chris Olah and team, offering foundational insights for builders aiming to create more transparent and trustworthy AI products.
People interested in model interpretability check out this gold.
The "Circuits" Thread
A series of exploratory research by Chris Olah himself and team when he was with OpenAI around 2020-2021.
Circuits are sub-graphs of the network, consisting a set of linked features and the
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Julius AI is being highlighted as a tool, suggesting potential utility for automating or enhancing business workflows. Builders can evaluate if it fits into their stack for faster product development or automation.
Highlights the gap between rapid prototyping with AI coding tools and the complexities of shipping robust, production-ready products. Reminds builders that while AI accelerates development, strong engineering is still crucial for real-world success.
Vibe coding is fun until production hits
.Anyone can build an app with tools like Cursor, v0, Replit Agent.
But shipping real products? Different game.More bugs. More security risks. More โwhy is this breaking?โ
AI helps but real engineering still wins.
The tweet highlights Grok's AI analysis as a tool for verifying authenticity, signaling growing demand for AI-powered content verification. Builders can leverage this trend to create solutions or content around AI detection and trust.
For those thinking itโs Ai or fakeโฆ
Check out grokโs analysis
๐ 4,085 viewsโค 6๐ 0๐ฌ 0๐ 00.1% eng
AI verificationGrokcontent authenticitymarket trend
write a newsletter/blog about itpost about it on Xaudience building
A builder shares a tool that streamlines sending content to AI chats, reducing manual screenshot pasting. This highlights a workflow automation that can save time for creators and could inspire similar productivity tools.
This is awesome.
I built
talktoyour.computer a while back to learn Make back then.
So much easier than pasting screenshots into any AI Chat all the time.
Telegram's new private AI editor and upgraded polls signal a trend toward privacy-focused AI features in messaging apps. Builders should watch for opportunities to create or integrate similar tools as user demand grows.
Telegram's Latest Monthly Update Highlights:
โข 100% Private AI Editor: A new AI tool that can privately edit your outgoing messages with full privacy.
โข Most Powerful Polls: Significantly upgraded polls with +12 new features, claimed to be the strongest in any messaging app.
๐ 278 viewsโค 15๐ 0๐ฌ 0๐ 05.4% eng
TelegramAI editorprivacymessagingmarket trend
write a newsletter/blog about itpost about it on Xaudience building
Google Photos' new AI Enhance tool automates photo editing by cropping, relighting, and fixing images. Builders can leverage this trend to automate content workflows or create content around these tools.
I tried Google Photos' new AI Enhance tool: How it crops, relights, and fixes your shots - sometimes
A YouTube tutorial demonstrates building a self-evolving memory system for coding agents, inspired by Karpathyโs architecture. Builders can learn to prevent context loss in AI workflows, a key skill for robust automation products.
This AI agent tutorial (on YouTube) shows how to build a self-evolving memory system that prevents your coding agents from losing context when a session ends.
Inspired by Andrej Karpathyโs "compiler" architecture, this AI automation workflow turns raw conversation logs into a
A guidebook on building production-ready AI agent systems using proven architectures and tools like LangChain. Useful for builders seeking to level up their agent automation skills for future product or service offerings.
30 Agents Every AI Engineer Must Build โ Build production-ready agent systems using proven architectures and patterns:
amzn.to/41ckg6z via
@PacktDataML
โ
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and
A new web designer shares their process of building a full SaaS landing page for an AI writing tool using Figma and Framer, including a design system and mobile version. This is a practical example for builders looking to quickly prototype and launch AI product sites.
I've been learning web design for 3 weeks.
Here's what I built:
A full SaaS landing page for a fictional AI writing tool (Figma + Framer).
Complete with design system, component library, hover states, scroll animations, copy, and a mobile version.
Everything from scratch:
๐ 171 viewsโค 9๐ 0๐ฌ 4๐ 27.6% eng
web designSaaSlanding pageFigmaFramer
sell a course/guide teaching itoffer it as a serviceone-time
A daily JavaScript quiz with a streak system designed to engage developers. Builders can leverage this format to drive traffic, grow an audience, or inspire similar interactive content for their own niche.
JavaScript devs
If you had 60 secondsโฆ
could you solve this daily challenge?
I built a simple quiz:
1 question. 60 seconds. streak system
Try it and tell me your time
codeshot.in
A walkthrough synthesizing Harness mental models, LangChain/Anthropic/OAI research, and practical examples. Useful for builders seeking to deepen their understanding of AI orchestration and harnessing techniques.
nice walkthrough from Akshay bringing together Harness mental models from our blogs + research artifacts at LangChain, Anthropic/OAI write ups, examples from perplexity
โif youโre not the model youโre the harnessโ
i had many back and forths writing this, can be coarse
๐ 17,316 viewsโค 95๐ 11๐ฌ 4๐ 1360.6% eng
AI frameworksmental modelsLangChainresearchbuilder mindset
Epoch AI's new explorer reveals how AI compute resources are distributed among major tech players, highlighting hyperscaler dominance. Builders can use this insight to spot infrastructure trends and potential market gaps.
Epoch AI launched the "AI Chip Owners" explorer, a new data tool tracking how global AI compute arguably the most critical input in the entire AI industry is distributed among hyperscalers and major tech players.
The analysis reveals that top US hyperscalers control over 60% of
๐ 1,687 viewsโค 24๐ 6๐ฌ 3๐ 22.0% eng
AI computemarket trendsinfrastructurehyperscalers
write a newsletter/blog about itpost about it on Xaudience building
A new AI tool, alignednews.ai, curates high-quality content from the AI community. Builders can monitor this for emerging trends, competitor launches, and inspiration for new products or content.
I built AI to find the good stuff in the AI community:
alignednews.ai
A new method (CRISP) for unlearning unsafe knowledge in AI models has been accepted to ACL 2026, signaling growing demand and research in AI safety and complianceโan area with emerging business opportunities for builders.
CRISP is accepted to ACL 2026 main!
Check out our SAE-based method for unlearning unsafe knowledge in San Diego #ACL2026
@aclmeeting
๐ 656 viewsโค 17๐ 2๐ฌ 0๐ 32.9% eng
AI safetyunlearningcompliancemarket trendACL2026
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Breaks down the difficulty of key skills for building AI agents, from prompt writing to using frameworks and managing memory. Useful for entrepreneurs to identify which skills to master or outsource when building automated AI products.
AI Agents - Difficulty Breakdown
Prompt writing - Easy
โ Writing something that โworksโ
Using frameworks (LangChain, LlamaIndex) - Medium
โ Connecting LLMs, tools, basic flows
Memory & context handling - Medium
โ Managing state across steps
๐ 1,003 viewsโค 21๐ 4๐ฌ 2๐ 152.7% eng
AI agentsskillsframeworksautomationLLMs
sell a course/guide teaching itoffer it as a serviceone-time
A curated GitHub repo and free newsletter offering daily AI tutorials and practical use cases, helping builders stay updated and discover actionable AI tools and strategies.
Repo:
github.com/mnfst/awesome-
โฆ
If you want more practical AI gems and use cases, join our free newsletter with daily tutorials and latest news in AI:
simplifyingai.co
Event covering real-world implementations of Generative UI, including AG-UI and MCP ecosystems, with live demos and expert talks. Useful for builders seeking to understand current trends and practical applications in generative interfaces.
Generative UI Night II
TONIGHT at
@WorkOS
SF
Weโll be breaking down how Generative UI is actually being implemented today, with deep dives into the AG-UI and MCP ecosystems, plus live demos from the community.
Speakers:
1. The Evolving Generative UI Landscape -
@ataiiam
,
This tip shows how to use Hugging Face's hardware profile feature to quickly see if your Mac can run specific local AI models. Useful for builders evaluating hardware before investing in local AI workflows.
ๆณ็ฅ้ไฝ ๆไธๆๆณ่ฒท็ Mac ่ฝ่ทไป้บผๆฌๅฐๆจกๅๅ๏ผ
1. ๅป Hugging Face ่จปๅๅธณ่
2. ๅจๅธณ่่จญๅฎๅกซๅ ฅ็กฌ้ซ่ฆๆ ผ
3. ้ๆจฃๅญ๏ผๅฐๅๆจกๅ้ ้ขๆ๏ผๅฐฑๅฏไปฅ็ๅฐๆฏๅฆ่ทๅพๅ็้ ไผฐ
A thread of high-impression articles on DevOps, including how to monetize quickly and a free 2026 DevOps guide. Useful for builders seeking to upskill or replicate monetization strategies.
Posted 10 articles so far, total impressions 170k+
If you want to go through them, you can check out:
โ How I got monetized in one month:
x.com/devops_nk/stat
โฆ
โ Ultimate Guide to Learn DevOps in 2026 (Free):
x.com/devops_nk/stat
โฆ
โ Kubernetes Architecture
A roundup of visually striking, AI-generated websites that showcase current design and tech trends. Builders can use this as inspiration for new projects or to spot emerging aesthetics and features that may attract users.
A practical prompting framework to help creators brainstorm AI-powered game ideas. Useful for builders seeking inspiration or structure for their next project.
Stuck on what game to make with AI?
Here's a prompting framework that actually works.
Anthropic has released 13 free AI courses with certificates, offering foundational and advanced knowledge for anyone looking to upskill in AI. Builders can leverage these to quickly level up or credential themselves for new opportunities.
Breaking: Anthropic just launched 13 FREE AI courses with certificates
Here's every course, organized by who should take it
For anyone starting with AI:
1. Claude 101
anthropic.skilljar.com/claude-101
2. AI Fluency: Framework & Foundations
anthropic.skilljar.com/ai-fluen
This tweet introduces 'warp decode,' likely a new AI tool or framework. Builders can explore it to speed up product development or integrate advanced AI features into their offerings.
Read about our work on warp decode:
๐ 24,823 viewsโค 78๐ 13๐ฌ 2๐ 770.4% eng
Cursor differentiates itself by routing requests to Claude/OpenAI APIs and hosting its own Composer 2 model, raising questions about their cost structure. Builders should note this hybrid approach as a signal of evolving AI SaaS strategies and potential pricing models.
Cursor is different. They route requests to Claude/OpenAI API and host their own Composer 2 model.
Iโm not sure how much they subsidize on their end.
Grok Imagine's new template lets users turn photos into Easter bunnies, enabling creators to quickly generate themed digital content. Builders can leverage this for seasonal social media posts or offer themed image services.
Grok Imagine has officially released a new template that allows you to turn your pictures into fun Easter bunnies. Enhance your digital gallery with this sophisticated and engaging new AI tool.
Highlights key syntax differences for Chain-of-Thought prompts between Gemma 4 (vLLM) and Gemini API (OpenAI chat completions). Useful for builders integrating or switching between these LLMs to avoid prompt errors.
PSA: Gemma 4 uses a harmony-like syntax for vLLM with <|channel>thought\n, but the Gemini API (when using OpenAI chat completions) uses for the CoT
AlphaSignal.ai offers daily summaries of top AI models, repos, and papers, helping builders stay updated on the latest trends and tools in the AI space. This resource can inform product ideas and keep entrepreneurs ahead of the curve.
Thanks for reading!
Follow
@AlphaSignalAI
for more content like this.
Check out
AlphaSignal.ai to get a daily summary of top models, repos, and papers in AI. Read by 280,000+ devs.
Google's demo site lets you run AI models directly in the browser, showcasing the potential for client-side AI apps. Builders can explore new product ideas or content around browser-based AI capabilities.
You can try it yourself on Google's demo site here. (It takes a bit at first since it has to download the model.)
chrome.dev/web-ai-demos/
A live session on building the NSTG dataset, offering insights into dataset creation workflows. Useful for builders looking to level up their data engineering skills or create their own datasets for AI products.
I'll be sharing how I built the NSTG dataset on Datum Africa this Saturday by 5pm. Link to register:
๐ 479 viewsโค 39๐ 12๐ฌ 2๐ 311.1% eng
datasetAItutorialDatum Africadata engineering
write a newsletter/blog about itsell a course/guide teaching itskill building
Bitdefender Labs reveals how a fake Windsurf extension hides its true behavior, highlighting key security checks before installing browser add-ons. Builders can use this insight to educate audiences or improve their own extension vetting processes.
Bitdefender Labs investigated a fake Windsurf extension that hid its real behavior until after installation. See how it works and what to check before installing extensions:
๐ 280,965 viewsโค 18๐ 6๐ฌ 0๐ 40.0% eng
securitybrowser extensionsmalwareeducation
write a newsletter/blog about itmake a YouTube video about itad revenue
This tweet explains how the apiVersion field in Kubernetes YAML files determines how resources are handled. Builders working with AI infrastructure or deploying automated apps can use this foundational knowledge to avoid deployment errors and streamline DevOps.
ANSWER
apiVersion tells Kubernetes how to read and understand your YAML file
When you create a resource, Kubernetes first looks at apiVersion to know how to handle it correctly.
It answers 3 important questions:
1 - Who handles this resource?
apiVersion tells Kubernetes which
This tweet highlights a paper comparing single-agent and multi-agent LLM approaches for multi-hop question answering, helping builders understand which architecture may be more effective for complex AI tasks.
Do you really need multi agent systems, or just better single-agent LLMs? Check out this paper, where
@dattranm
tries to tackle that question for multi-hop question answering. Really great job!