#aehnlichkeit
Live, measured metrics for the hashtag #aehnlichkeit from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #aehnlichkeit
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.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-03 03:56 UTC0 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 2026-08-03 03:56 UTCNo related tags with measured usage found for #aehnlichkeit.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-03 03:56 UTCEverything below is measured over the latest 6 public posts (spanning ~954 hours).
Posting hours (UTC)
Languages: German (6)
Avg boosts / post: 0.3
Top of the latest posts
Der interdisziplinäre Dialog zwischen den Bildwissenschaften und digitalen Wissenschaften setzt sich fort. Die nächsten drei Beiträge des ZfdG-Sonderbands "Bildähnlichkeit und Bildsuche", herausgegeben von Hartmut Beyer und Thomas Mandl ( h
Am Beispiel der Rocaille zeigen Ines Röckl, Thomas Hudcovic und Gabriel Zachmann den Einsatz von Deep-Learning-Verfahren für das Training von neuronalen Netzen zur Annotation von Ornamentklassen mit dem Ziel via Bild- oder Texteingabe durch
Julian Stalter, Matthias Springstein und Stefanie Schneider untersuchen in ihrem Beitrag "Ähnlichkeiten erklären" das Konzept der Ähnlichkeit im Rahmen der Explainable Artificial Intelligence (XAI) in Modellen des maschinellen Lernens für d
#aehnlichkeit across platforms
every network with a public tag surfaceFollow #aehnlichkeit 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/aehnlichkeit