PromptArk — 帮助用户优化提示词，用户输入简单的提示词，AI 辅助生成更结构化，更详细的提示词

@JasonCryptoLab · X

大家都玩梗是因为牛来了所以才牛来了，所以我做了一个网站叫牛来指数，就记录自牛来上映之后全球重要资产的涨跌情况，涨的越好牛来指数越高！ #牛来

@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

@TheFallen_jay · X

added multiple features based on user feedback on

@rushit9879 · X

@kveen_io · X

u/EmbarrassedBuddy9743 · Reddit

I built a free tool that shows who AI recommends in your category (and who it names instead of you) When you ask ChatGPT, Claude, Perplexity or Gemini for the best tool in a category, they recommend the same few incumbents and quietly skip everyone newer. Most founders have no idea whether AI is recommending them or their competitors. So I built Bersyn. You type your domain, it asks the four models the questions your buyers actually ask, and shows who gets recommended in your category, who

@vishuRizz · X

@AuraWars100 · X

@RealRandomTask · X

check it, flex your projects for just $5 and vote in the poll to decide on how we return revenue to users!

@aaryanpatel_06 · X

If you have an app and you have to design emails, then you also have

@Henry_Yangs · X