@claroboard · X

I built a whiteboard. The hardest part wasn't the coding. The hardest part was getting the first users. Want to give it a try?

@ak14053 · X

@emir_ogz · X

Just shipped - AI-native workspace for solo devs Agent reads/writes your project notes automaticly

@locatornation · X

@rishabh21g · X

The whiteboard that just lets you draw

u/Melodic-Living4805 · Reddit

Roast my Agentic Platform Been building this platform on the side for about a year would love to hear if the messaging is clear and what your first impressions are. Are you curious ? confused . impressed etc ? https://pindown.ai/ submitted by /u/Melodic-Living4805 to r/microsaas [link] [comments]

@mr_wickedhacks · X

Write the doc once → get a notebook, slide deck, canvas, or resume from the same source. No rewriting for every format.

u/pablostanley · Reddit

Built Hilos, a team chat where AI coding agents are members of the channel Hi, I'm Pabs, and I built this thing I'm calling Hilos (means "threads" in spanish) I work with coding agents every day (Claude Code, Codex, Cursor) and the workflow started to feel a bit isolating... tons of tabs in a terminal, and my team in a chat somewhere else, and I'm the messenger in the middle, copy-pasting context both ways from things I build and feedback I get. The llm doesn't know what the

@rubs_murga · X

@trackowork · 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

@Michaela200_5 · X