tweet.md

Hey Product Hunt 👋 I built tweet.md because I kept running into the same annoying problem: X posts are often useful context for AI tools, but copying them usually gives you messy text, embeds, screenshots, or browser clutter. tweet.md turns X posts and threads into clean, attribution-preserving Markdown. The workflow is as simple as rewriting the URL to tweet.md: x.com/ProductHunt/status/2057518338419634198 → tweet.md/ProductHunt/status/2057518338419634198 There’s also an AI agent skill, so agents can use tweet.md directly in their workflows. It supports: * single X posts * threads * quoted posts * articles * Obsidian-friendly Markdown The goal is simple: make public X content easier to use with ChatGPT, Claude, Cursor, Codex, Obsidian, and other Markdown/LLM workflows — without scraping HTML or pasting messy copied content. Would love your feedback, especially from people using X content in research, AI workflows, or note-taking.

neat product

<p>This is exactly the kind of tiny utility that becomes more valuable because agents can use it reliably.</p><p></p><p>One thing I’d want in the Markdown output is a small provenance block: original URL, canonical URL, author handle, fetched-at time, and whether the post/thread was complete at fetch time. For research and AI workflows, that helps distinguish “this is what the post said when I captured it” from “this is the live state of X right now.”</p><p></p><p>If you ever add LinkedIn or other sources, that same receipt would matter even more because public posts move, disappear, or get reformatted in ways that can quietly change downstream summaries.</p>

<p>this is one of those tools that solves a problem you didn't realise you had until you see it. I copy tweets into docs all the time and the formatting is always a mess. the agent skill is a nice touch too</p>