#wikibibliocon
Live, measured metrics for the hashtag #wikibibliocon from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #wikibibliocon
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 · mastodon.online (Mastodon public tags API) · fetched 2026-10-02 17:19 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-02 17:19 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-02 17:19 UTCEverything below is measured over the latest 27 public posts (spanning ~28937 hours).
Posting hours (UTC) — busiest: 06:00
Languages: German (27)
Avg boosts / post: 0.7
Top of the latest posts
Online Vortrag & Diskussion: Bottom-Up Organizing in Wikimedia Projects mit Laurie Bridges und Núria Ferran Ferrer, Wednesday, 25.06.25, 17:00 - 18:00, online https://meta.m.wikimedia.org/wiki/WikiKult_Netzwerktreffen_2025/Bottom-Up_Organiz
Kurze interne Weiterbildung zur Verwendung von WikiCommons für #OpenAccess und #FDM, schönes Beispiel seit Jahren: Die Pelzgewerbehäuser in der Leipziger Innenstadt https://commons.wikimedia.org/wiki/Category:Die_Pelzgewerbeh%C3%A4user_in_d
@bibliocon 💡 Öffentliche Notizen in offenen Umgebungen ✒️ bürgerwissenschaftliche Erschließungsstrategien, Infrastrukturen, Daten- und Beziehungspflege mit bibliovielen Gemeinschaften. Ein Praxisbericht ☕ https://de.wikiversity.org/wiki/Di
#wikibibliocon across platforms
every network with a public tag surfaceFollow #wikibibliocon 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/wikibibliocon