#llmstxt
Live, measured metrics for the hashtag #llmstxt from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #llmstxt
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-09-09 10:31 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-09-09 10:31 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-09 10:31 UTCEverything below is measured over the latest 40 public posts (spanning ~5211 hours).
Posting hours (UTC) — busiest: 19:00
Languages: English (23) · Russian (14) · German (2) · Portuguese (1)
Avg boosts / post: 0.2
Top of the latest posts
I added instructions to some of our open-source projects that expose both llms.txt and llms-full.txt files, which should cut down on overall scraping and bandwidth, and it's a much better format to work with. While I'm not sure if any mutua
How Design Systems Talk to Machines, by @kaelig.fr: https://state-of-ai-in-design-systems.netlify.app/?ref=frontenddogma.com #studies #research #designsystems #ai #mcp #llmstxt #storybook #tooling
llms.txt just had its first real revision since the September 2024 proposal, and the change worth noting is discoverability. v1 never answered a basic question: given a page, how does an agent find its markdown version, or the llms.txt file
#llmstxt across platforms
every network with a public tag surfaceFollow #llmstxt straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/llmstxt