#wdqs
Live, measured metrics for the hashtag #wdqs from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #wdqs
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 · mas.to (Mastodon public tags API) · fetched 2026-07-27 12:45 UTC0 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 2026-07-27 12:45 UTCNo related tags with measured usage found for #wdqs.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-07-27 12:45 UTCEverything below is measured over the latest 24 public posts (spanning ~28679 hours).
Posting hours (UTC) — busiest: 07:00
Languages: English (20) · German (2) · Chinese (Taiwan) (1) · French (1)
Avg boosts / post: 2.3
Top of the latest posts
Done mapping all 10 #barangays of Hadji Muhtamad, Basilan, #Philippines 🇵🇭 in #OpenStreetMap, creating their #Wikidata items, and linking the two with each other. Wanna play around? Here is the Overpass Turbo query: https://overpass-turbo
Done mapping all 25 #barangays of Minalabac, Camarines Sur, #Philippines 🇵🇭 in #OpenStreetMap, creating/updating their #Wikidata items, and linking the two with each other. Wanna play around? Here is the Overpass Turbo query: https://over
That's a list I've been looking for for some time: https://www.mediawiki.org/wiki/Wikibase/Indexing/RDF_Dump_Format#WDQS_data_differences It shows the differences between the RDF source of a Wikidata item and the way it's stored in the RDF
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/wdqs