#y1981
Live, measured metrics for the hashtag #y1981 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #y1981
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 2026-10-02 11:32 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 2026-10-02 11:32 UTCNo related tags with measured usage found for #y1981.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-02 11:32 UTCEverything below is measured over the latest 1 public posts.
Posting hours (UTC)
Languages: English (1)
Avg boosts / post: 0
Top of the latest posts
@anticomputer @lispnik There's also a famed paper on #ConnectionMachineLisp by Guy L Steele Jr and W Daniel Hillis from #Y1986: → https://dl.acm.org/doi/pdf/10.1145/319838.319870 The book is Hillis' thesis (supervised by Gerald J Sussman) w
#y1981 across platforms
every network with a public tag surfaceFollow #y1981 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/y1981