#wikicommons

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

hashtag.org network · sponsored

Own #wikicommons

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.

$10.85/ year · 11-character #name
Claim #wikicommons — $10.85/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.5
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-16 01:19 UTC
0
10-10
0
10-11
0
10-12
0
10-13
0
10-14
0
10-15
0
10-16

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

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-10-16 01:19 UTC

No related tags with measured usage found for #wikicommons.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-16 01:19 UTC

Everything below is measured over the latest 40 public posts (spanning ~4492 hours).

Posting hours (UTC) — busiest: 08:00

00:0012:0023:00

Languages: German (25) · English (12) · French (3)

Avg boosts / post: 2.3

Top of the latest posts

  • Lektüretipp fürs Wochenende: Jens Bemme @JensB und Alexander Winkler, „Mehr Edits wagen? Virtuelle Ausstellungen erschließen mit Wikidata und Commons“, LIBREAS. Library Ideas, Nr. 48 (2026), https://doi.org/10.18452/37905 (doi funktioniert

    Alexander Winkler@[email protected]♥ 7↻ 82026-08-29 09:05 UTCView post →

  • #31DayOSMChallenge: Day 8️⃣ – #Wikimedia 🧩 As I mentioned on Day 2, I support #LinkedOpenData and this is why I usually add wikidata=* and similar tags in #OpenStreetMap. I’ve also been mapping #HistoricalMarkers in OSM and so I added the

    Eugene Alvin Villar 🇵🇭@[email protected]♥ 5↻ 02026-10-09 07:28 UTCView post →

  • Strukturierte Daten auf #wikicommons sind ungemein nützlich. Mit ihnen lassen sich z.B. Bildinhalte strukturiert und (dank Linked Open Data) wunderbar maschinenlesbar erfassen und dann auch mit #SPARQL abfragen. Bilder von SPD-Mitgliedern d

    Alexander Winkler@[email protected]♥ 3↻ 52026-06-05 07:49 UTCView post →

What “wikicommons” means

Wikipedia

Wikimedia Commons, also known as Wikicommons, or simply Commons, is a wiki-based media repository of free-to-use images, sounds, videos and other media. It is a project of the Wikimedia Foundation.

“Wikimedia Commons” on Wikipedia (CC BY-SA) →

#wikicommons across platforms

every network with a public tag surface

Follow #wikicommons 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/wikicommons