@abdulganiyshehu · X

If you've ever tried staying consistent on LinkedIn but struggled to do so, I built this for ya.

@john_previn · X

@BMartelee · X

AI Community Manager

@chrombyte · X

@sd0br · X

@WEreFrame · X

Underrated...well I wouldn't say that because I'm just starting, but overlooked maybe. The impact on humanity will be noticed across the globe. Stop reacting. Start reFraming.

@Caden1Fenn · X

Intel Brief — tracks what your competitors change (pricing, features, positioning) and delivers it to your inbox weekly. Built for indie SaaS founders.

PaperCheck — 论文提交前自查工具，提供 Turnitin 查重 + AI 写作检测报告，帮助学生在正式提交前发现问题

@dhanushkenkiri · X

Building If you ever wanted to know about someone online this is your go to place. Also, let's connect!

@lemhamza · 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