#classifier

Live, measured metrics for the hashtag #classifier from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #classifier

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.

$23.52/ year · 10-character #name
Claim #classifier — $23.52/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.1
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-24 08:03 UTC
0
10-18
0
10-19
1
10-20
0
10-21
0
10-22
0
10-23
0
10-24

1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-10-24 08:03 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-24 08:03 UTC

Everything below is measured over the latest 40 public posts (spanning ~30725 hours).

Posting hours (UTC) — busiest: 09:00

00:0012:0023:00

Languages: English (38) · German (1) · French (1)

Avg boosts / post: 0.8

Top of the latest posts

  • I already have a Mastodon client (https://schizo.social) so I'm already on my way! I want to pull the user's favorites and run them through a #machineLearning #classifier of some sort. Then when I pull their Timeline I can compare each post

    🪬🍄🌈🎮💻🚲🥓🎃💀🏴🛻♓🧿@schizanon♥ 1↻ 02023-11-19 20:45 UTCView post →
  • I think what I'll do is tally up the words in every toot and then use tf-idf to calculate a match score for each toot. Then I can specify a threshold that will show/hide toots in my timeline based on these. This will require manual labeling

    🪬🍄🌈🎮💻🚲🥓🎃💀🏴🛻♓🧿@schizanon♥ 1↻ 12023-11-05 16:42 UTCView post →
  • Computers Made of Human Brain Tissue Identify Braille Letters In today’s episode of the brain-in-a-jar show, scientists have built brain analog organoids consisting of about 10,000 neurons that can classify braille letters with about 61 per

    artifex@[email protected]♥ 0↻ 22026-10-20 14:27 UTCView post →

What “classifier” means

Wiktionary

classifier/ˈklæsɪfaɪə/

  • nounSomeone who classifies.
Full entry on Wiktionary →

#classifier across platforms

every network with a public tag surface

Follow #classifier 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/classifier