#historicaldocuments

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

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$5.00/ year · 19-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
11
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 11
0.1
Avg reactions / post
Mastodon · last 11

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 00:27 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-28 00:27 UTC

No related tags with measured usage found for #historicaldocuments.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 00:27 UTC

Everything below is measured over the latest 11 public posts (spanning ~30023 hours).

Top of the latest posts

  • OMG OLD PEOPLE ACTIVATE!!!!!! Can You Read This Cursive Handwriting? The National Archives Wants Your Help Anyone with an internet connection can volunteer to transcribe historical documents and help make the archives’ digital catalog more

    Regina Kammer@[email protected]1582025-01-18 04:45 UTCView post →
  • Historical Runaway Slave Ads Reveal 19th Century Struggles for Freedom 📰 Original title: Disturbing Runaway Slave Ads From the 19th Century Capture the Struggle for Freedom 🤖 IA: It's clickbait ⚠️ 👥 Users: It's clickbait ⚠️ View full AI

    KillBait News@[email protected]002026-07-11 18:22 UTCView post →
  • 📰 Can LLMs help correct historical OCR? Tomorrow, Impresso presents its work on LLM-based OCR post-correction at the CENL “AI in Libraries” webinar, alongside Mistral AI, the Bibliothèque nationale de France, and the British Library. 📅 Fr

    Impresso Project@[email protected]042026-07-09 10:11 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/historicaldocuments