#quickstatements
Live, measured metrics for the hashtag #quickstatements from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #quickstatements
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 2026-07-27 11:57 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 2026-07-27 11:57 UTCNo related tags with measured usage found for #quickstatements.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 11:57 UTCEverything below is measured over the latest 31 public posts (spanning ~31605 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (17) · German (8) · French (4) · Chinese (Taiwan) (2)
Avg boosts / post: 2.4
Top of the latest posts
I tried to edit #Wikidata tonight using #OpenRefine and #QuickStatements for the first time. Screwed up a few things and ended up fixing them by hand, but overall it was fun. And a lot less daunting than it had been in my head
Using my lunch break to do big edits (1300+ statements is 'big' for me) on wikidata, marking up diamond open access journals 😀 Thanks to everyone here on Mastodon who helped me with the SPARQL needed to work out which journals are in wikid
The #QuickStatements app got a big update to the interface design from me.
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/quickstatements