#wikiviz
Live, measured metrics for the hashtag #wikiviz from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #wikiviz
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 2026-07-28 22:39 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 2026-07-28 22:39 UTCNo related tags with measured usage found for #wikiviz.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 22:39 UTCEverything below is measured over the latest 8 public posts (spanning ~409 hours).
Posting hours (UTC)
Languages: French (8)
Avg boosts / post: 0.6
Top of the latest posts
@OpenSexism Last #wikiviz and end of this thread. #Wikidata use labels for items. Sometimes those labels are the male form, sometimes they are the female form and sometimes they are gender neutral. Check the results in your language : https
Yet another tool to explore entities linked in a #Wikipedia article. The wikilinks inspector looks at entities by country (P17), by gender (P21), country of citizenship (P27), instance of (P31) and occupation (P106). Here is an example with
Today's #wikiviz measures gender diversity in #Wikipedia articles : https://observablehq.com/@pac02/explore-gender-diversity-in-a-single-wikipedia-article Play with it. You'll see. It's really difficult to find articles with a high percenta
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/wikiviz