@tryspectr · X

@WavelengthFlow · X

@bydigiwares · X

@me_using_x · X

Do you need a product demo or wanna make tutorial/help videos? Your problem is solved for ever now! Try: PS: I am the developer who built this and I am self promoting it via this thread. 😀

@juliusdjas · X

Check out what I just built with Lovable!

@originalcigstee · X

@getjotit · X

Built Jotit — AI that takes notes from lectures/meetings so you don’t have to. I use it for work and it has made my life so much easier especially when I’m in back to back meetings. Link:

@AsDavidi3g5 · X

Check out what I just built with Lovable!

@shawkalent · X

我开发了两个平台，一个是开源平台：

@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

@hannah24_app · X

@nameisnotanoun · X