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!
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.
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 OpenClaw’s 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
…
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 visuals—unlocking 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 — 41 tools, free, open source.
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
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:
👁 280,965 views❤ 18🔁 6💬 0🔖 40.0% eng
securitybrowser extensionsmalwareeducation
write a newsletter/blog about itmake a YouTube video about itad revenue
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.
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
Google AI Studio offers 1,500 free daily requests to the Gemma 4 31B model, which can be integrated into workflows or products via Vercel’s AI Gateway. Builders can leverage this to prototype or launch AI-powered tools with minimal upfront cost.
Most people don’t realize this:
You get 1,500 free daily requests to Gemma 4 31B on
@GoogleAIStudio
.
That’s plenty of free inference (imo).
And you can route it into
@NousResearch
Hermes Agent via Vercel’s AI Gateway:
1. Create an API key on Google AI Studio
2. Add it u
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
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 sentence—this Skill pulls it off.
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
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 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
…
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
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 “open-source AI vs closed-source AI” gap is still ~6 months.
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 we’ve 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 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 OpenAI’s GPT-5.4 Pro ($200/month)
to see if it actually justifies the price compared to the $20 plan.
Here’s what he found:
- Research problems: Could not solve the hardest ones, still struggles at true PhD-level questions
- Paper review: Very
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
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
…
- Requesty:
requesty.ai/models/zai/glm
…
👁 50,094 views❤ 299🔁 12💬 4🔖 500.6% engActionable
AI modelAPIinferenceintegrationbuilder tool
build a SaaS on top of itoffer it as a servicerecurring
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
…
Guide:
unsloth.ai/docs/models/ge
…
Gemma-4-E4B Colab:
colab.research.google.co
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
> i’ve had early access to the weights for the past few days
> and yeah… 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
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.
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.
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%
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
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 I’m 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
👁 31,070 views❤ 101🔁 5💬 18🔖 140.4% eng
remote workAI agentsautomationcloudworkflow
write a newsletter/blog about itpost about it on Xaudience building
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
👁 28,317 views❤ 318🔁 18💬 14🔖 511.2% eng
AI modelsHugging Facelarge language modelsmarket trend
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%
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
👁 26,013 views❤ 189🔁 12💬 10🔖 430.8% eng
AImarket analysisearnings callssentimentsignals
write a newsletter/blog about itpost about it on Xaudience building
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
👁 24,879 views❤ 311🔁 68💬 9🔖 5271.6% engActionable
open sourceAI modelsGemmauncensoredMac
fork and ship itbuild a SaaS on top of itrecurring
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.
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
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
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
👁 23,242 views❤ 124🔁 7💬 16🔖 2550.6% engActionable
local AImobile appprivacyGemmaHugging Face
make a YouTube video about itwrite a newsletter/blog about itad revenue
A new tool scrapes HN and Reddit for real user pain points, generating startup ideas and instant landing page prompts—enabling 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 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
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
👁 20,739 views❤ 160🔁 10💬 23🔖 660.9% engActionable
open sourceAI modelcost-effectiveinnovationZai
build a SaaS on top of itfork and ship itrecurring
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
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:
→
github.com/addyosmani/age
…
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!
👁 19,742 views❤ 184🔁 21💬 0🔖 3841.0% engActionable
open sourceAIage detectionGitHubcomputer vision
fork and ship itbuild a SaaS on top of itrecurring
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 — 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
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.
👁 18,874 views❤ 48🔁 7💬 13🔖 290.4% engActionable
AI infrastructuredecentralizedopen sourceGemma 4hive mind
fork and ship itbuild a SaaS on top of itrecurring
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
“if you’re not the model you’re the harness”
i had many back and forths writing this, can be coarse
👁 17,316 views❤ 95🔁 11💬 4🔖 1360.6% eng
AI frameworksmental modelsLangChainresearchbuilder mindset
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.
想知道你手上或想買的 Mac 能跑什麼本地模型嗎?
1. 去 Hugging Face 註冊帳號
2. 在帳號設定填入硬體規格
3. 這樣子,到各模型頁面時,就可以看到是否跑得動的預估
👁 16,690 views❤ 164🔁 18💬 4🔖 1441.1% engActionable
hardwarelocal modelsHugging FaceAI tools
write a newsletter/blog about itpost about it on Xaudience building
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
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?
👁 14,222 views❤ 46🔁 17💬 5🔖 160.5% engActionable
LangChainmiddlewareAI agentscommunitydev tools
build a SaaS on top of itoffer it as a servicerecurring
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:
👁 14,155 views❤ 97🔁 5💬 10🔖 1910.8% eng
AI agentstradingautomationpassive incomeGPT-5.4
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
👁 13,555 views❤ 51🔁 0💬 0🔖 1050.4% engActionable
open sourceAI toolsoptimizationdeveloperautomation
fork and ship itbuild a SaaS on top of itrecurring
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 Labs’ 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
👁 12,113 views❤ 40🔁 19💬 7🔖 260.5% eng
AI citationsnews publisherscontent strategySEOmarket trends
write a newsletter/blog about itpost about it on Xaudience building
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.
👁 11,980 views❤ 252🔁 47💬 21🔖 882.7% eng
AI alignmentresearchAnthropicClaude Opusmachine learning
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:
→ How
👁 11,944 views❤ 91🔁 40💬 34🔖 811.4% engActionable
ClaudeAnthropiccourseAI codingfree resource
write a newsletter/blog about itsell a course/guide teaching itskill building
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,
👁 11,836 views❤ 137🔁 9💬 14🔖 1351.4% engActionable
open sourceAI modelsHugging FaceSWE-BenchMIT license
fork and ship itbuild a SaaS on top of itrecurring
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:
👁 11,683 views❤ 31🔁 8💬 6🔖 90.4% engActionable
cost managementAI agentsLangSmithautomationSaaS
build a SaaS on top of itoffer it as a servicerecurring
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.
I’m not sure how much they subsidize on their end.
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
👁 10,767 views❤ 70🔁 8💬 5🔖 2060.8% engActionable
open sourcedeploymentAI toolsautomationinfrastructure
fork and ship itbuild a SaaS on top of itrecurring
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.
👁 10,659 views❤ 87🔁 14💬 6🔖 621.0% engActionable
rustai agentsframeworkopen sourcecustomization
build a SaaS on top of itfork and ship itrecurring
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 Karpathy’s 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,
👁 10,645 views❤ 147🔁 17💬 8🔖 1781.6% engActionable
open sourceAI agentsknowledge baseLLMautomation
build a SaaS on top of itoffer it as a servicerecurring
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
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 “vibe-coded” 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 hospital’s Epic system to
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 →
anthropic.skilljar.com
Here are all 13
FOR EVERYONE — AI Fluency Track
1. Claude 101
anthropic.skilljar.com/claude-101
2. AI Fluency:
👁 9,799 views❤ 70🔁 21💬 4🔖 1311.0% engActionable
AI educationcertificationClaudeupskillingfree resource
write a newsletter/blog about itsell a course/guide teaching itskill building
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!
👁 9,693 views❤ 37🔁 11💬 2🔖 180.5% engActionable
LLMLangChainBasetenAI integrationproduction-ready
build a SaaS on top of itoffer it as a servicerecurring
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:
→ Cursor confirmed last month that Composer 2 is built on Moonshot's Kimi K2.5
→ Cognition's SWE-1.6 model is likely post-trained on Zhipu's GLM
→ Shopify saved $5M a year by
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
👁 9,188 views❤ 106🔁 2💬 22🔖 311.4% engActionable
AI agentsautomationearly accessworkflowtools
offer it as a servicebuild a SaaS on top of itrecurring
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 code’s cache TTL from 1h to 5m in March, causing significant quota and cost inflation.
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
👁 8,548 views❤ 89🔁 6💬 4🔖 111.2% eng
AI performancemarket trendsClaude MythosGPT-5.4-ProAI pricing
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: • basic RAG
• single-agent demos
• copied LangChain tutorials
But interviews now expect: multi-agent systems, MCP, guardrails, observability, long-running agents.
This Agentic AI Systems Interview Q&A Guide
👁 8,290 views❤ 167🔁 29💬 2🔖 2262.4% engActionable
AI agentsmulti-agentinterview prepskillsguide
sell a course/guide teaching itoffer it as a serviceone-time
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:
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
👁 7,955 views❤ 59🔁 6💬 2🔖 390.8% engActionable
AI agentsno-codeautomationmonetizationtools
build a SaaS on top of itoffer it as a servicerecurring
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.
→ Cursor 3 rebuilt its entire UI around managing agent fleets, not editing files
→ Google's Gemma 4 is optimized for agentic workflows and runs locally on your
👁 7,608 views❤ 38🔁 8💬 3🔖 260.6% eng
AI agentsautomationmarket trendagentic workflows
write a newsletter/blog about itpost about it on Xaudience building
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
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!
👁 7,322 views❤ 70🔁 9💬 4🔖 861.1% engActionable
langchainclaudemiddlewareAI agentsopen source
build a SaaS on top of itoffer it as a servicerecurring
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
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
👁 7,231 views❤ 42🔁 0💬 0🔖 440.6% engActionable
AI SDRReplitautomationsalesagent
offer it as a servicewrite a newsletter/blog about itone-time
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.
👁 6,936 views❤ 92🔁 0💬 0🔖 01.3% eng
AI benchmarksmodel comparisonGemma 4performanceLLM
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)
👁 6,787 views❤ 42🔁 2💬 3🔖 00.7% eng
automationtrackingdata monitoringworkflowbuilders
build a SaaS on top of itoffer it as a servicerecurring
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
👁 6,658 views❤ 92🔁 0💬 5🔖 141.5% engActionable
LLMprompt engineeringGemmaGeminiAPI
write a newsletter/blog about itoffer it as a serviceone-time
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 Preview—it's fast, high quality, and the free quota is more than you'll ever use up.
👁 6,431 views❤ 29🔁 2💬 5🔖 280.6% engActionable
GeminiAPIGoogle CloudAI toolsprototyping
build a SaaS on top of itoffer it as a servicerecurring
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
👁 6,431 views❤ 104🔁 31💬 7🔖 972.2% eng
AI workflowstool useautomationmarket trends
write a newsletter/blog about itpost about it on Xaudience building
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
👁 6,426 views❤ 93🔁 10💬 2🔖 311.6% engActionable
open sourceLLMAI modelsHugging Facedata pipeline
build a SaaS on top of itfork and ship itrecurring
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.
👁 6,396 views❤ 59🔁 2💬 4🔖 481.0% engActionable
AI agentsmemoryhybrid searchautomationbuilder tool
build a SaaS on top of itoffer it as a servicerecurring
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
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 — check if YOUR wallet has been delegated to a malicious contract.
/check7702 in our Telegram bot scans 6 chains instantly:
👁 5,920 views❤ 32🔁 10💬 2🔖 00.7% engActionable
cryptosecuritywalletsexploitTelegram
write a newsletter/blog about itoffer it as a servicead revenue
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)
┃
┣ Foundations of AI
┃ ┣ Generative AI Concepts
┃ ┣ Machine Learning Basics
┃ ┣ Large Language Models (LLMs)
┃ ┣ Prompt Engineering
┃ ┗ Retrieval-Augmented Generation (RAG)
┃
┣
👁 5,883 views❤ 173🔁 31💬 16🔖 1523.7% eng
AI agentsroadmapskillsfoundationslearning
sell a course/guide teaching itwrite a newsletter/blog about itskill building
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
👁 5,550 views❤ 86🔁 12💬 6🔖 851.9% engActionable
LLMcost optimizationroutingAI infrastructureHugging Face
build a SaaS on top of itoffer it as a servicerecurring
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:
• Python daily
• Data to actionable decisions
• Deploy an ML app
• Add RAG
• Add AI DS agent
Need help?
This is how:
learn.business-science.io/ai-register
👁 5,470 views❤ 68🔁 5💬 3🔖 591.4% engActionable
data scienceAIML deploymentRAGskills
sell a course/guide teaching itoffer it as a serviceone-time
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.
It’s an AI agent that doesn’t 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
👁 5,458 views❤ 17🔁 7💬 2🔖 20.5% engActionable
AI agentworkflow automationproductivityTRAElaunch
offer it as a servicewrite a newsletter/blog about itone-time
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?
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.
i’ve 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
👁 5,444 views❤ 139🔁 14💬 8🔖 1113.0% engActionable
AI promptsproductivityprofessional developmentautomationtools
write a newsletter/blog about itsell a course/guide teaching itskill building
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 hadn’t identified or fixed.
It took us maybe 20 minutes to fix any gaps, identify
👁 5,407 views❤ 39🔁 0💬 12🔖 60.9% engActionable
AI toolsCodexdevelopmentproductivityautomation
build a SaaS on top of itoffer it as a servicerecurring
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
…
If you want more practical AI gems and use cases, join our free newsletter with daily tutorials and latest news in AI:
simplifyingai.co
👁 5,378 views❤ 30🔁 2💬 0🔖 720.6% engActionable
open sourceAI toolsnewslettertutorials
write a newsletter/blog about itpost about it on Xaudience building
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
👁 5,343 views❤ 38🔁 3💬 8🔖 410.9% eng
AI benchmarksClaude Opusfrontier modelsplanningmarket trends
write a newsletter/blog about itpost about it on Xaudience building
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
👁 5,193 views❤ 105🔁 5💬 55🔖 213.2% eng
no-codeAI SaaSClaudeautomationMRR
write a newsletter/blog about itpost about it on Xrecurring