@Slaetapp · X

thejarren · HN

Hey HN, I'm really excited to share Emra with you. The yc description would be: It's like "Notion meets Lovable". It's a workspace where you build full apps using AI and every app sits on one shared database and service layer. Generated apps are always editable, and (coming soon:) can interact with each other in the workspace. I'm of the opinion that the cost of software will go rapidly to zero (I don't think that's too surprising to any of you), but there will always be room for effort and creativity. Emra is essentially built for the future where every person is a developer. Essentially personal software for everyone. So far I've built notes apps with a 3d graph view to see connections, a video editing app and a canvas design tool (figma clone) with export capabilities, as well as a collection of project management tools and games. Right now the most satisfying thing is being able to fix a bug I run into in around the same amount of time that it takes to send a bug report in any tr

@Supportpintutec · X

Just launched QuickTools — 8 free online tools 🛠️ Word Counter • JSON Formatter • Password Generator • Color Picker 100% browser-based, no signup 🔗 #SideProject #WebDev #FreeTools #BuildInPublic

@iamdeepak89 · X

@akinkunmi · X

He trash-talked me and my amazing project ( unprovoked while all his projects are vibe-coded slop. That's why I named him King of Slop.

@gabani_vatsal · X

Building Screen recorder which adds zoom effects and custom backgrounds

@jumper211212 · 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