#classifying
Live, measured metrics for the hashtag #classifying from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #classifying
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 2026-08-13 00:06 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 2026-08-13 00:06 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-13 00:06 UTCEverything below is measured over the latest 6 public posts (spanning ~16191 hours).
Posting hours (UTC)
Languages: English (6)
Avg boosts / post: 0.5
Top of the latest posts
Classifying aviation-related posts on Hacker News with SLMs https://www.skysight.inc/blog/hacker-news-aviation #HackerNews #Classifying #aviation-related #posts #on #Hacker #News #with #SLMs #aviation #machinelearning #hackernews #SLMs #tec
(19/N) Let's now turn to the third question of the #ThreatModelingManifesto: 3. What are you going to do about it? It pays to first establish a few contraints for what you can do, in theory, by #classifying your #assets. Again, for an indiv
@cnDuKeli @tcdh The approach they used for #classifying the poems' function in the narrative were interesting, using #LLMs. Performance is pretty bad so far. Keli took up the call for #openness about #failure from a session this morning and
What “classifying” means
Wiktionary · Wikipediaclassifying
- verbTo identify by or divide into classes; to categorize
- adjectiveThat serves to classify
Classification 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) →#classifying across platforms
every network with a public tag surfaceFollow #classifying 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/classifying