tweet.md

tweet.md: The Ultimate Tool for Converting X Posts into Clean Markdown

In the era of artificial intelligence and rapid research, the ability to extract clean data from social media is paramount. tweet.md is a powerful utility designed specifically to bridge the gap between X (formerly Twitter) and your AI-driven workflows. By converting X posts into clean Markdown, tweet.md ensures that your LLMs, agents, and research tools receive perfectly formatted, token-efficient text every time.

What's tweet.md?

tweet.md is a specialized conversion service that transforms any X post or thread URL into a clean Markdown format. The core functionality of tweet.md revolves around simplicity and efficiency. Instead of dealing with the complexities of scraping or the unreliability of plain X links—which often provide poor context for AI models—users can simply replace x.com with tweet.md in any post URL to get an instant, readable Markdown version of the content.

Whether you are a researcher, a developer, or a power user of AI assistants, tweet.md provides the "source of truth" text needed for accurate analysis. It is specifically built to support the latest generation of AI tools, ensuring that the output is "LLM-ready."

Key Features of tweet.md

tweet.md offers a robust set of features designed to make data extraction from X as seamless as possible:

• Instant URL Conversion: Simply swap x.com for tweet.md in your browser's address bar to convert any post immediately.
• Clean Markdown Output: Get back text that is optimized for LLMs, agents, and research databases. The output is stripped of noise and formatted for readability.
• Thread Support: Convert entire X threads into a single Markdown document, ensuring no context is lost between individual posts.
• Author Metadata: For deep research, tweet.md can include unique author metadata, providing extra context for the AI to analyze.
• Token Optimization: Our Markdown output is specifically optimized for Large Language Models (LLMs), which helps in saving valuable tokens during AI interactions.
• AI Agent Integration: Using a dedicated skill, AI agents can be programmed to use tweet.md to read and interpret X posts autonomously.
• Authentication Made Easy: You don't need to manually manage API keys in your URLs. After checkout, your browser receives a cookie with your API key for seamless access.

How to Use tweet.md

Using tweet.md is a straightforward three-step process that integrates directly into your existing browsing and AI habits.

The Basic URL Swap

1. Replace the URL: Take any X post URL, for example: x.com/github/status/2056949168208552080. Replace the x.com portion with tweet.md to get: tweet.md/github/status/2056949168208552080.
2. Copy the Markdown: Once the page loads, you will see the post converted into clean Markdown. Copy this LLM-ready text directly from the page.
3. Paste into Your Assistant: Open your preferred AI chat assistant or agent (such as ChatGPT or Claude) and paste the text as context for your query.

For AI Agents and Developers

If you want to use tweet.md from an agent, you can give it a specific skill that instructs the agent to replace any x.com URL with tweet.md. Developers can also use the following command to add the skill:

npx skills add tweet-md/skill

Comprehensive Use Cases

tweet.md is versatile enough to be used in various professional and personal environments.

AI Chat Assistants

Plain X URLs are often unreliable context for LLMs because they cannot always be parsed or accessed correctly. By using tweet.md, you can provide high-quality text to:

• ChatGPT: Paste complete posts and threads without worrying about broken links.
• Claude: Give Claude the full Markdown text instead of a brittle link.
• Gemini: Make threads readable for Gemini with a simple URL swap.

Knowledge Management and Research

For researchers using personal knowledge bases, tweet.md is an essential companion. The Markdown output is perfectly formatted for:

• Obsidian: Save X threads directly into your vault as permanent notes.
• Notion: Maintain clean records of social media discussions and investigations.
• NotebookLM: Upload clean text summaries of industry news for deeper analysis.

Developer Workflows

Software engineers can use tweet.md within their favorite coding environments to analyze technical threads or bug reports. It works seamlessly with:

• Cursor
• GitHub Copilot
• Claude Code
• Cline
• Ollama

Integration and Compatibility

tweet.md is designed to work with a vast array of modern AI platforms and tools, including but not limited to:

• Top-tier LLMs: ChatGPT, Claude, Gemini, DeepSeek, Grok, Gemma.
• Coding Assistants: Cursor, GitHub Copilot, Codex, OpenCode.
• Development Tools: Claude Code, Cline, Gemini CLI, v0.
• Research Tools: NotebookLM, Obsidian, Notion, Poe.
• Frameworks: xAI, Hermes, OpenClaw, AI Agents.

Pricing and Credits

tweet.md offers a flexible pricing structure based on your usage needs:

• Free Tier: Get 5 single-post conversions per IP per calendar month. This is limited to thread=off and userinfo=off settings.
• $5 Package: Includes 500 credits.
• $19 Package: Includes 2,200 credits.
• $49 Package: Includes 6,000 credits.

Credit Consumption Details:

• 1 credit is consumed per post.
• Author metadata adds 2 credits per unique author.
• Threads and higher usage limits require paid credits.

FAQ

Is there a free tier?

Yes. You get 5 single-post conversions per IP per calendar month. However, advanced features like threads and author metadata require credits.

How do credits work?

Credits are consumed based on the volume of data you convert. A standard post is 1 credit, while adding unique author metadata costs 2 additional credits.

Do I need an API key in the URL?

No. You don't need to worry about manually inputting an API key. After checkout, your browser is assigned a cookie with your API key to handle authentication automatically.

What happens when I open a thread?

When you convert a thread, tweet.md compiles the sequence of posts into a single, cohesive Markdown document, making it much easier for an LLM to follow the narrative or argument.

Why use tweet.md instead of scraping?

Scraping can be unreliable, lead to broken formatting, and often results in "brittle" context. tweet.md provides a clean, optimized Markdown output that is specifically designed for high-performance AI interactions, saving you time and tokens.