#FRA

Live, measured metrics for the hashtag #FRA 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 #fra

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.

$5,313.74/ year · 3-character #name
Claim #fra — $5,313.74/yr→
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2
Uses / 7 days
Mastodon
2
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0.1/hr
Recent pace
Mastodon · last 40
0.3
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 07:50 UTC
1
07-21
0
07-22
0
07-23
1
07-24
0
07-25
0
07-26
0
07-27

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 2026-07-27 07:50 UTC
#FraMar
0 uses · 0 accounts / 7d
#France
1,388 uses · 590 accounts / 7d
#FRAESP
0 uses · 0 accounts / 7d
#FRAENG
0 uses · 0 accounts / 7d
#Fraud
47 uses · 43 accounts / 7d
#Frankreich
100 uses · 88 accounts / 7d
#Frankfurt
47 uses · 42 accounts / 7d
#Frauen
19 uses · 18 accounts / 7d
#Framework
30 uses · 28 accounts / 7d
#Frage
11 uses · 11 accounts / 7d
#frau
2 uses · 2 accounts / 7d
#francia
28 uses · 25 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 07:50 UTC

Everything below is measured over the latest 40 public posts (spanning ~755 hours).

Posting hours (UTC) — busiest: 20:00

00:0012:0023:00

Languages: English (32) · German (6) · Swedish (1) · Slovak (1)

Avg boosts / post: 0.4

Top of the latest posts

  • When a fireman 👨‍🚒 helped tangled pigeon! #kindness #firefighters #Frankfurt #FRA

    Gurpreet Singh@GurpreetSingh♥ 5↻ 42026-06-23 15:24 UTCView post →

  • ⚽ Probabilistic forecasts for today's matches at #FIFA2026 using our machine learning ensemble. In Group I: #NORFRA #NOR #FRA 🥅 Mean goals: 0.9-1.6 🇳🇴 19.7% Draw 24.5% 🇫🇷 55.8% Heatmap with probabilistic forecasts for the possible outc

    Achim Zeileis@zeileis♥ 3↻ 12026-06-26 16:49 UTCView post →

  • ⚽ Probabilistic forecasts for today's matches at #FIFA2026 using our machine learning ensemble. In Semifinal: #FRAESP #FRA #ESP Probability to advance: 51.9% vs. 48.1% 🥅 In normal time: Mean goals: 1.2-1.2 🇫🇷 37.8% Draw 27.8% 🇪🇸 34.4%

    Achim Zeileis@zeileis♥ 2↻ 02026-07-14 07:54 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/fra