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
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.
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
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
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
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
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
-
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 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
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.
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
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
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
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.
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
๐ 788 viewsโค 2๐ 0๐ฌ 0๐ 00.3% eng
AI agentsautomationworkflowcustom commandsproductivity
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
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
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.
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
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
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
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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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.
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
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
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)
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.
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
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.
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
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!
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 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
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.
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
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:
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
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
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
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
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
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.
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
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?
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:
๐ 2,054 viewsโค 7๐ 3๐ฌ 0๐ 50.5% eng
AI agentsarchitectureGoogle AI Bake-Offmulti-agent systemsdeterministic execution
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 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.
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!
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!
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.
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!
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
๐ 12,113 viewsโค 40๐ 19๐ฌ 7๐ 260.5% eng
AI citationsnews publisherscontent strategySEOmarket trends
write a newsletter/blog about itpost about it on Xaudience building
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
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
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.
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
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.
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
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 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
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
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
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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
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
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
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AI frameworksmental modelsLangChainresearchbuilder mindset
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
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
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 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.
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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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
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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 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
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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
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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)
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build a SaaS on top of itoffer it as a servicerecurring
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.
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.
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
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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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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
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
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:
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:
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
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.
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%
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.
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
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
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.
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.
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
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
-
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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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
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
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
-
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.
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
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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
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.
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
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
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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
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
๐ 5,927 viewsโค 33๐ 9๐ฌ 10๐ 390.9% eng
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
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
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 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
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AI benchmarksClaude Opusfrontier modelsplanningmarket trends
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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
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.
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
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
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
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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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
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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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:
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
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