Follow AI Builders — Not Influencers

GitHub needs a karma system

Tesla self driving approved in Netherlands on April 10th After that every EU country can essentially "copy" the approval and instantly approve it in their country too So by end of 2026 it's likely we'll have Tesla Full Self Driving in most of the EU 🇪🇺

RT Shubham Saboo Just added this free document parser to my OpenClaw Agent team. One line. That's it. LiteParse plugs right into any AI agent. 86 pages in 3.3 seconds on my Macmini. No GPU and no API key needed. 100% free, local and Opensource. Original tweet: https://x.com/Saboo_Shubham_/status/2035051817080643726

RT LangChain LangSmith for Startups Spotlight: @ListenLabs Listen is an autonomous research agent that conducts thousands of customer interviews simultaneously. Teams bring a business question, and Listen runs the entire research process: designing studies, recruiting participants, moderating conversations with intelligent follow-ups, and delivering structured insights overnight. Listen is trusted by Google, Microsoft, Perplexity, Robinhood, Replit and hundreds of other enterprises to power their customer research. Listen uses LangSmith as core infrastructure for production tracing and observability. Their team relies on it to monitor the LLM calls that power their interviewing, analysis, and report generation agents. Join the team if you want to build the future of customer understanding! 👉 http://listenlabs.ai/careers Original tweet: https://x.com/LangChain/status/2035051119442030715

Any way to skip this question when I run Claude Code in / root?

Perplexity Computer can now connect to to market research data from Pitchbook, Statista and CB Insights, everything that a VC or PE firm has access to. Enjoy!

RT LangChain 💫 New LangChain Academy Course: Building Reliable Agents 💫 Shipping agents to production is hard. Traditional software is deterministic – when something breaks, you check the logs and fix the code. But agents rely on non-deterministic models. Add multi-step reasoning, tool use, and real user traffic, and building reliable agents becomes far more complex than traditional system design. The goal of this course is to teach you how to take an agent from first run to production-ready system through iterative cycles of improvement. You’ll learn how to do this with LangSmith, our agent engineering platform for observing, evaluating, and deploying agents. Enroll for free ➡️ https://academy.langchain.com/courses/building-reliable-agents/?utm_medium=social&utm_source=linkedin&utm_campaign=q1-2026_academy-launch-reliable-agents_aw Original tweet: https://x.com/LangChain/status/2035039198575476799

I should livestream more build businesses live with AI people tune in and learn along the way could be fun

科学方法，会比没有方向更快

the fastest way to build a personalized agent in LangSmith Fleet is to just ask it to build itself told it to look at my last 1000 emails - it built a personal email agent that responds in my exact tone try fleet yourself: https://smith.langchain.com/agents?skipOnboarding=true