About tweet.md
tweet.md is a developer-focused utility that converts X posts and threads into clean, readable Markdown. It offers a simple URL-rewrite flow and an API so users can get attribution-preserving, LLM-friendly output without scraping raw HTML or pasting messy embeds.
Review
tweet.md addresses a common friction: public X content is useful for research and AI tools but often arrives cluttered with embeds, screenshots, or HTML. By producing deterministic Markdown with timestamps, author handles, media links and thread structure, the tool makes X content easier to ingest for note-taking, language models, and agent pipelines.
Key Features
- URL-swap conversion (rewrite x.com links to tweet.md) for immediate Markdown output.
- API access for programmatic conversion and an AI agent skill for automated workflows.
- Preserves attribution, timestamps, canonical links, quoted posts, and thread ordering.
- Media and images rendered as Markdown links; output formatted for Obsidian and LLM inputs.
- Caching to help mitigate rate limits from the X API and improve reliability.
Pricing and Value
tweet.md offers free options for basic use and conversion, plus paid credits for additional features such as extended provenance metadata (fetched-at times, canonical URLs, and related details). The presence of an API and agent skill means the product delivers clear value for developers and researchers who frequently feed X content into LLMs or note-taking systems; exact pricing details are available on the project site.
Pros
- Very simple URL-rewrite flow that removes friction for ad-hoc use.
- Markdown output is LLM- and note-taking friendly, keeping thread and quote context intact.
- Includes provenance elements (author, timestamps, canonical links) which help with citation and context.
- API and agent skill make it easy to integrate into automated pipelines and research tooling.
- Caching helps reduce the impact of X API rate limits for frequent requests.
Cons
- Currently focused on X only; support for other sources would require expansion.
- Content can change if the original post is edited or deleted, and snapshotting is not the default behavior for free usage.
- Long threads with many media items may still present occasional formatting edge cases that need attention.
Overall, tweet.md is a practical tool for developers, researchers, and anyone who regularly feeds X content into language models or note systems. It works best for users who need clean, attribution-aware Markdown quickly and who are comfortable integrating an API or simple URL rewrite into their process.
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