#aops
Live, measured metrics for the hashtag #aops from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #aops
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 2026-10-16 07:37 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 2026-10-16 07:37 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-16 07:37 UTCEverything below is measured over the latest 17 public posts (spanning ~22529 hours).
Posting hours (UTC) — busiest: 06:00
Languages: Korean (12) · English (3) · Dutch (1) · German (1)
Avg boosts / post: 1.3
Top of the latest posts
🚀 Major upgrade for molecular descriptors in AOP-Wiki RDF! - Textual gene mapping precision: 1,228 false positives eliminated (−19%) - Gene ID resolution: 2,800+ IDs now 50× faster with @bridgedb batch API - Chemical ID mapping: 403 chemic
📊 Exploring trends in the AOP-Wiki with versioned knowledge graphs and SPARQL queries. Entity counts have steadily increased since 2018, but interestingly, there seems to be a cyclic pattern with most big jumps happening in the July releas
#Replit seems to have enshittified itself to be an AI Vibe Coding platform. This is a huge problem for kids just trying to use it to learn to program in python on a Chromebook and who don't want (or aren't allowed to use) AI coding tools fo
What “aops” means
WikipediaAops is a monotypic genus of scorpions in the Urodacidae family. Its sole species is the troglobitic Aops oncodactylus, which is endemic to Australia. It was first described in 2008 by Erich Volschenk and Lorenzo Prendini.
“Aops” on Wikipedia (CC BY-SA) →#aops across platforms
every network with a public tag surfaceFollow #aops 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/aops