#neoLatin

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

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$110.68/ year · 8-character #name
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1
Uses / 7 days
Mastodon
1
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 19:00 UTC
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28
1
07-29

1 uses by 1 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 19:00 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 19:00 UTC

Everything below is measured over the latest 40 public posts (spanning ~11085 hours).

Posting hours (UTC) — busiest: 12:00

00:0012:0023:00

Languages: English (33) · German (7)

Avg boosts / post: 1.8

Top of the latest posts

  • "barbarians" and "foreigners"? Shruti Rajgopal examines how Neo-Latin texts by missionaries like Maffei and Montserrat used ethnonyms to classify Indian identities—blending geography, religion, and caste. https://ieg.hypotheses.org/7750 #Co

    de.hypotheses@[email protected]002026-07-29 09:00 UTCView post →
  • This piece by @nevenjovanovic sound interesting! (#openaccess): Chapter 12 A Wikidata Description of a Neo-Latin Play in: Transnational Encounters in Early Modern Drama, 1450–1750 https://brill.com/display/book/9789004724280/BP000013.xml #n

    Alexander Winkler@[email protected]002026-05-31 17:19 UTCView post →
  • About to give a talk on #LOD in #Neolatin Studies at the Centre for Medieval Studies in Prague. This presentation was great fun to prepare. Slides as usual at http://doi.org/10.5281/zenodo.20179402 #wikidata

    Alexander Winkler@[email protected]002026-05-15 07:39 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/neolatin