#aieducation

Live, measured metrics for the hashtag #aieducation 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 #aieducation

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.

$10.85/ year · 11-character #name
Claim #aieducation$10.85/yrBuy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
2
Uses / 7 days
Mastodon
2
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 16:39 UTC
0
07-23
0
07-24
0
07-25
1
07-26
0
07-27
1
07-28
0
07-29

2 uses by 2 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 2026-07-29 16:39 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 16:39 UTC

Everything below is measured over the latest 40 public posts (spanning ~1725 hours).

Posting hours (UTC) — busiest: 08:00

00:0012:0023:00

Languages: English (37) · German (3)

Avg boosts / post: 0.7

Top of the latest posts

  • Pluralistic: Discernment (28 Jul 2026) https://web.brid.gy/r/https://pluralistic.net/2026/07/28/hitl-ers/

    Pluralistic: Daily links from Cory Doctorow – No trackers, no ads. Black type, white background. Privacy policy: we don't collect or retain any data at all ever period. [Unofficial]@[email protected]012026-07-28 10:44 UTCView post →
  • The title is intentionally playful. 😊 “Be Kind to Your Robot Friends” is a free K–16 curriculum exploring AI with kindness, curiosity, wisdom, and responsible participation. My hope is to help students think more deeply about the future we

    Richard / Pitarra@[email protected]012026-07-26 08:42 UTCView post →
  • #KDAI2026 lecture no 11. This time it's interrogation tactics: FILTER, REGEX, OPTIONAL, UNION, negation, BIND, and GROUP BY aggregates in SPARQL. Then a bounty comparison: DBpedia (1.32B triples, built from Wikipedia infoboxes) vs Wikidata

    Harald Sack@[email protected]012026-07-22 10:49 UTCView post →

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/aieducation