tweet.md is a developer and research utility that converts X (formerly Twitter) posts and threads into clean, readable Markdown. Instead of wrestling with messy HTML, scraping raw data, or untangling complex JSON embeddings, you get output that is ready to use right away.
Using it is remarkably simple: just change 'x.com' to 'tweet.md' in any X post URL, or plug into its dedicated conversion API when you need automation. Either way, the result is fully optimized for large language models (LLMs), AI agents, research workflows, and digital note-taking applications.
tweet.md automatically retains valuable context, including author attribution, timestamps, canonical links, media elements, quoted posts, and multi-post threads. At the same time, it minimizes token usage during AI interactions, so you save both context window space and cost.

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