#aifluency

Live, measured metrics for the hashtag #aifluency 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 #aifluency

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.

$51.02/ year · 9-character #name
Claim #aifluency — $51.02/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
24
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 24
0
Avg reactions / post
Mastodon · last 24
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-31 14:54 UTC
0
10-25
0
10-26
0
10-27
0
10-28
0
10-29
0
10-30
0
10-31

0 uses by 0 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 2026-10-31 14:54 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-31 14:54 UTC

Everything below is measured over the latest 24 public posts (spanning ~10945 hours).

Posting hours (UTC) — busiest: 09:00

00:0012:0023:00

Languages: English (15) · Dutch (6) · German (3)

Avg boosts / post: 0.3

Top of the latest posts

  • Episode 1 of the AI Fluency series: why most organisations measure AI adoption instead of capability. A METR study found developers using AI tools took 19% longer than those using nothing — yet believed they were 20% faster. Fluency is judg

    Ciberjohn@[email protected]♥ 0↻ 12026-08-31 10:13 UTCView post →
  • Episode 2 of the AI Fluency series: the four pillars of AI literacy UNESCO, the OECD, the Alan Turing Institute and the EU AI Act converge on — capabilities & limitations, delegation, critical output evaluation, governance & accountability.

    Ciberjohn@[email protected]♥ 0↻ 12026-08-31 10:11 UTCView post →
  • AI Fluency series, episode 3: 47% think they can spot AI errors; tested, only 30% could. Confidence gap dressed as competence. 1. Name one failure mode of your AI tool (retrieval cutoff, hallucinated citations). Can't? Familiarity, not lite

    Ciberjohn@[email protected]♥ 0↻ 12026-08-30 10:08 UTCView post →

#aifluency across platforms

every network with a public tag surface

Follow #aifluency 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/aifluency