#categorizations
Live, measured metrics for the hashtag #categorizations from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #categorizations
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 · mastodon.online (Mastodon public tags API) · fetched 2026-10-11 22:42 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-11 22:42 UTCNo related tags with measured usage found for #categorizations.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-11 22:42 UTCEverything below is measured over the latest 2 public posts (spanning ~3216 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 0
Top of the latest posts
Dear Friends of the #Royal #Society #Lectures, :ablobdancer: We just watched this on #AI and even though it is for pre-teens, #kids are still #smart. I picked up some #tips for example #humans are quite #capable of mistaking argh (pirate ta
Super powered Categorization #Notes: here are some super powered #categorizations I have used for a long time campaign as part of the #worldbuilding. These are the ones less associated with others. #Inukshuk - "Image of man" full body conve
Alexander_Anotherskip_Davis@Alexander_Anotherskip_Davis@dice.camp♥ 0↻ 02023-08-14 11:37 UTCView post →
What “categorizations” means
WikipediaClassification is the activity of assigning objects to some pre-existing classes or categories. This is distinct from the task of establishing the classes themselves. Examples include diagnostic tests, identifying spam emails and deciding whether to give someone a driving license.
“Classification” on Wikipedia (CC BY-SA) →#categorizations across platforms
every network with a public tag surfaceFollow #categorizations 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/categorizations