tweet.md
FreemiumSwap x.com for tweet.md to get X posts as clean Markdown for LLMs.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
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Added 7d ago
77/100Safe BetIn short
tweet.md — Swap x.com for tweet.md to get X posts as clean Markdown for LLMs. Best for Prompt engineers and AI researchers feeding X content into LLMs, Developers building LLM agents or automation workflows, Content creators extracting tweets for analysis or rewriting. Free to start; paid plans from $5/mo.
Is tweet.md actually worth it?
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Editorial Verdict
Best for
Prompt engineers and AI researchers feeding X content into LLMsDevelopers building LLM agents or automation workflowsContent creators extracting tweets for analysis or rewritingAutomation enthusiasts using Apple ShortcutsUsers who prefer clean reading over native X UI
Not ideal for
Users needing full social media management or schedulingThose requiring free unlimited usageTeams needing collaborative features or shared credit poolsPeople who want native X features (likes, retweets, bookmarks)Heavy bulk processing (credit cost adds up at scale)
tweet.md is a simple, frictionless tool for anyone who regularly feeds X content into LLMs. The URL-swap approach is clever and easy to use. Credit packs don't expire, which is fair. However, it's not for heavy batch processing or teams—power users will want an API for scale. For individual researchers and AI tinkerers, it's a solid buy.
Skip tweet.md if Skip tweet.md if you need to process over 200 posts per month with author metadata, as the credit cost will exceed $19/month and there is no bulk API.
Compare with: tweet.md vs WolframAlpha, tweet.md vs Paxton AI, tweet.md vs GeologicAI
Last verified: July 2026
What independent users actually report about tweet.md
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
19 mentions across 2 sources (Hacker News, Bluesky).
85% positive15% critical
Recurring strengths
- +URL swap is dead simple: replace 'x.com' with 'tweet.md'.
- +Threads up to 100 posts are converted to structured Markdown.
- +Output is token-efficient, optimized for LLMs like ChatGPT and Gemini.
- +Works with 20+ AI tools including Cursor, Claude, and Obsidian.
- +Apple Shortcut integration enables share sheet, clipboard, and Siri.
Recurring frustrations
- −Free tier caps at 5 single posts per month—too low for testing.
- −No support for private X accounts or protected posts.
- −No analytics or logging of previous conversions.
- −Only supports X/Twitter; no other social media platforms.
- −No batch conversion for multiple unrelated posts.
Patterns worth knowing
Simplicity of URL swap conversion
Seen on Hacker News, Bluesky
Integration with AI agents and tools
Seen on Bluesky
Useful for storing X content as Markdown
Seen on Bluesky
Learning curve
beginnerProductive in ~5 minutes
Hidden costs people mention
- • None mentioned in community data
Viability Score
77/100
Safe BetHow likely is tweet.md to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- URL swap conversion: replace x.com with tweet.md
- Single-post to clean Markdown
- Thread to complete Markdown (up to 100 posts)
- Profile fetching as Markdown (bio, stats, pinned post, recent content)
- Author metadata (name, handle, follower count, etc.)
- LLM-optimized output (token-efficient Markdown)
- Cookie-based authentication for paid plans
- API key support (Authorization header or ?apikey=)
- Apple Shortcut integration (Siri, share sheet, clipboard)
- npx agent skill for AI agents
- Obsidian format (YAML frontmatter, vault-friendly headings)
- Works with 20+ AI tools (ChatGPT, Claude, Gemini, Cursor, etc.)
- Credit packs never expire
- Mobile-friendly web interface
- Format options (markdown or obsidian)
About tweet.md
FreemiumBeginner-friendlyNo APIWeb · Mobile
tweet.md is a lightweight service that transforms X posts, threads, and profiles into clean, structured Markdown optimized for LLMs, agents, and research. Simply replace 'x.com' with 'tweet.md' in any URL to get clutter-free output with post text, thread chains, author metadata, and more. It works with ChatGPT, Claude, Gemini, Cursor, and 20+ other AI tools. The service uses a cookie-based authentication system after purchase, and pricing is credit-based: a free tier allows 5 single-post conversions per month, while paid plans start at $5 for 500 credits. tweet.md calls the official X API and normalizes content to token-efficient Markdown, saving you the trouble of scraping or parsing raw JSON.
Behind the Verdict
tweet.md tackles a specific, common pain point: getting clean X content into AI tools without the noise of native formatting or clunky scraping. The URL-swap trick is its killer feature—anyone who's ever pasted an X link into ChatGPT and gotten a truncated mess will appreciate the instant cleanup. It's especially handy for developers building LLM agents: the npx skill and Apple Shortcut make integration painless. Pricing is credit-based with never-expiring packs, so you buy once and use at your own pace. The free tier (5 single posts per month) is enough to test the waters. That said, tweet.md is strictly a conversion tool—it won't help you manage social media, schedule posts, or analyze engagement. Power users processing hundreds of threads daily might find the per-credit cost adds up, and there's no team or enterprise plan for shared credits. Compared to alternatives like direct X API scraping (which requires developer setup and token management) or manual copy-pasting, tweet.md wins on simplicity. For anyone who regularly feeds X content into AI tools and values a few seconds saved per conversion, it's worth the few dollars.
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Real-world workflow fit
Concrete scenarios for the personas tweet.md actually fits — and what changes day-one when you adopt it.
Researcher
You need to analyze a viral thread about AI safety. Replace x.com with tweet.md in the thread URL, copy the Markdown, and paste into ChatGPT for a summary.
Outcome: Full thread text in clean Markdown, ready for analysis in minutes, with no broken links or missing tweets.
Developer
You're building an AI agent that reads X posts. Use the npx skill (npx skills add tweet-md/skill) with your API key to have the agent automatically convert any x.com URL to Markdown.
Outcome: Seamless integration—your agent always receives clean, structured text without manual formatting.
Power user
You frequently save tweets to Obsidian. Use the Apple Shortcut to convert a tweet via share sheet, with ?format=obsidian to get YAML frontmatter.
Outcome: Tweets saved as Obsidian notes with metadata, ready for tagging and linking.
Use Cases
- Extract a tweet thread as Markdown for analysis in an LLM.
- Save an X profile's bio and recent posts as clean Markdown.
- Use Apple Shortcut to convert tweets on the go via share sheet.
- Feed Markdown into an AI agent for automated summarization or research.
- Archive X content to Obsidian or Notion with YAML frontmatter.
- Replace manual copying from X with a quick URL swap.
- Fetch profile data for lead generation or competitor research.
- Combine with automation tools to batch process multiple posts.
Limitations
- Free tier supports only single posts; threads and profiles require paid credits.
- Each post costs 1 credit; author metadata adds 2 credits per unique author.
- No API or bulk processing yet.
- Profile fetching is still in beta.
- No team or enterprise plans available.
as of 2026-07-03
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published tweet.md tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Casual users who need to convert a single post occasionally (up to 5 per month).
What this tier adds
Free entry point: 5 single-post conversions per month, no threads, no author metadata.
Starter
$5 one-time
Ideal for
Light users who convert a few dozen posts per month without needing author metadata.
What this tier adds
First paid tier: 500 credits at $0.01/credit, unlocks threads and profile fetching.
Best Value
$19 one-time
Ideal for
Regular users processing threads and profiles, or using tweet.md with AI agents.
What this tier adds
Best per-credit value: 2,200 credits at $0.0086/credit, enough for ~733 posts with metadata.
Pro
$49 one-time
Ideal for
Heavy users, researchers, or developers processing hundreds of posts monthly.
What this tier adds
Lowest per-credit rate: 6,000 credits at $0.0082/credit, enough for ~2,000 posts with metadata.
Integrations
ChatGPTClaudeClaude CodeClineCodexCopilotCursorDeepSeekGeminiGemini CLIGemmaGitHub CopilotGrokHermes AgentNotebookLM
Where the pricing makes sense
The company stage and team size where tweet.md's pricing actually pencils out — and where peers do it cheaper.
tweet.md's $5/500 credits tier is good for light users, but the $19/2,200 credits tier offers the best balance at $0.0086 per credit. For heavy users, $49/6,000 credits ($0.0082/credit) is the lowest per-credit cost. Compared to scraping tools that require coding or API access, tweet.md is simpler but more expensive per post. For occasional use, the free tier suffices.
Setup time & first value
How long it actually takes to get something useful out of tweet.md — broken out by persona, not the marketing-page minute.
Under 1 minute for single-post conversion—just replace x.com with tweet.md. For paid use, purchase a credit pack (takes 2 minutes), then your browser gets a session cookie automatically. The Apple Shortcut installs in 1 minute; the npx agent skill requires a single command (npx skills add tweet-md/skill).
Switching to or from tweet.md
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
- →From manual X scraping: replace x.com with tweet.md and get structured Markdown instead of parsing HTML or JSON.
- →From native X export: use tweet.md to fetch specific threads/profiles on demand rather than downloading your entire archive.
Migrating out
- ↗To a custom API: if you need bulk processing, consider using the X API directly with a script to convert to Markdown.
- ↗To a no-code tool: for team workflows, try Zapier or Make with X integration and a Markdown formatter.
Resources & Guides
Frequently Asked Questions
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Common stack mates teams adopt alongside tweet.md, with the specific reason each pairing earns its keep.
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