#literaturempfehlungen

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

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
3
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 3
0
Avg reactions / post
Mastodon · last 3
—
Reddit posts / month
Reddit search
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Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-08 19:57 UTC
0
08-02
0
08-03
0
08-04
0
08-05
0
08-06
0
08-07
0
08-08

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 2026-08-08 19:57 UTC

No related tags with measured usage found for #literaturempfehlungen.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-08 19:57 UTC

Everything below is measured over the latest 3 public posts (spanning ~28744 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: German (3)

Avg boosts / post: 2.3

Top of the latest posts

  • und ich habe mich gefreut, dass ich endlich mal wieder einen neuen beitrag in der FachBlog-reihe "wissen.leben.lesen" veröffentlichen konnte! https://www.ulb-fachblog.uni-muenster.blog/archiv/18157 aufgrund dringenderer anderer aufgaben bin

    v_i_o_l_a@[email protected]♥ 0↻ 02026-06-12 12:01 UTCView post →

  • "NGHM liest": Ein #Wissensgraph mit #Literaturempfehlungen für das Studium an der Professur für Neueste #Geschichte und Historische Migrationsforschung der Uni #Osnabrück: https://nghm.hypotheses.org/41911 [via @ubosnabrueck, https://blog.u

    ULB Münster › FachInfos@[email protected]♥ 0↻ 32026-02-03 12:45 UTCView post →

  • Ich muss ja gerade mal Werbung für #BookWyrm machen... Falls jemand #Literaturempfehlungen sucht, die nicht von Algorithmen oder zwielichtigen Buchhändler*innen stammen, einen Bekanntenkreis mit miesem Literaturgeschmack hat oder sich einfa

    Der Micha@[email protected]♥ 0↻ 42023-03-02 19:45 UTCView post →

#literaturempfehlungen across platforms

every network with a public tag surface

Follow #literaturempfehlungen 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/literaturempfehlungen