@troyaunderwood · X

@angelgetemm · X

@Bongoscown · X

Check out what I just built with Lovable!

@nopecode369 · X

This completely resonates. I actually poured my entire heart and passion into building for this exact reason. It’s designed as a dedicated home where real travelers, local guides, photographers, and trip planners can finally connect organically

@dmytroships · X

@Akisin1 · X

Listen Like You Live

@derek_codez · X

The next generation of Home Service based business solutions

@Biacode03 · X

@LinguExcel · X

Become fluent in any language faster than ever by reviewing thousands of real life sentences. Treat language learning like a HIIT workout.

@toufik2026 · X

Check out what I just built with Lovable!

@sykatt01 · X

Here it is: Definitely appreciating feedbacks

@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