#analogical

Live, measured metrics for the hashtag #analogical 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 #analogical

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 #analogical — $23.52/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
1
Recent posts
Mastodon
—
Recent pace
Mastodon · last 1
0
Avg reactions / post
Mastodon · last 1
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-28 14:06 UTC
0
10-22
0
10-23
0
10-24
0
10-25
0
10-26
0
10-27
0
10-28

0 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 2026-10-28 14:06 UTC

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-28 14:06 UTC

Everything below is measured over the latest 1 public posts.

Top of the latest posts

  • Extremely interesting paper. Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning authors: Lucas Jarnac, Miguel Couceiro, Pierre Monnin #KG #KnowledgeGraphs #construction, #analogical #inference, #zero-s

    Open Art Data@[email protected]♥ 0↻ 22023-12-02 06:43 UTCView post →

What “analogical” means

Wikipedia

Analogy is a comparison or correspondence between two things because of a third element that they are considered to share.

“Analogy” on Wikipedia (CC BY-SA) →

#analogical across platforms

every network with a public tag surface

Follow #analogical 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/analogical