@MathewsMat19207 · X

@GururSon · X

@pixelnestlabs · X

🚨 hey Elon musk you should check this: 🚀 I’m 14, and I just launched Kernol 🧠 An all-in-one AI study ecosystem built by Pixel Nest Labs. One of the most powerful AI study tools I've built. Don't take my word for it. 👀 👉

@Akisin1 · X

Listen Like You Live

@g8zxtrp9p6 · X

🚀 Just launched CampusVerify No more begging for survey responses. Reach real verified students on campus, get genuine answers fast, and earn credits by participating. Sign up & get free credits → @Lovable @supabase #Lovable #StudentsMatter

@herogaming7358 · X

🚀 Finally shipped my first SaaS project! Introducing ExamPrepAI 📚 Turn your own PDF or image notes into: ✅ Important Questions ✅ Short Answers ✅ Revision Notes No fake promises. Just a smarter way to revise. 🌐 🎥 Tutorial:

@JoydeepNath007 · X

@harryjwang · X

I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

@Berbir12 · X

Dense reading shouldn’t stop your momentum. Highlight the passage that isn’t clicking. Strang turns it into a short visual explanation, right inside your browser. One complete video is free.