#LRMI
Live, measured metrics for the hashtag #LRMI from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #lrmi
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 2026-07-28 08:38 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 2026-07-28 08:38 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 08:38 UTCEverything below is measured over the latest 5 public posts (spanning ~20785 hours).
Posting hours (UTC)
Languages: English (3) · German (1) · French (1)
Avg boosts / post: 1.4
Used together with
Top of the latest posts
Have you ever been concerned with evaluation of different #metadata standards? What criteria do you use when deciding for a certain metadata standard? Do you know any literature about that topic? E.g. Based on what criteria do you choose #L
This is the final of four blog posts I've written in January about the projects I am working on. This one is about my work on learning resource #metadata, especially #LRMI. https://blogs.pjjk.net/phil/what-am-i-doing-here-4-learning-resourc
via @clintlalonde #BCcampus used a headless CMS with #LRMI support, built on Strapi, for its #OER collection. With all sorts of disclaimers, I can still say that I personally hope we could get something similar in Quebec. https://www.downes
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/lrmi