#aiforscience
Live, measured metrics for the hashtag #aiforscience from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #aiforscience
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 2026-09-30 03:14 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 2026-09-30 03:14 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-30 03:14 UTCEverything below is measured over the latest 40 public posts (spanning ~10886 hours).
Posting hours (UTC) — busiest: 11:00
Languages: English (31) · German (8) · French (1)
Avg boosts / post: 0.5
Top of the latest posts
🎓 A new chapter for Dr. Linara Adilova: On October 1, she will join the University of Cologne as Professor of Machine Learning and build a new chair. Her work on foundational and trustworthy machine learning will continue, alongside a new
AI for Science: The Next Big AI Opportunity What is the most expensive unanswered question in your industry, and what competitive advantage would come from answering it five times faster? #ArtificialIntelligence #AIforScience #ScientificDis
TechnologyTrends@technologytrends60.wordpress.com@technologytrends60.wordpress.com♥ 0↻ 142026-08-17 06:33 UTCView post →What is the most expensive unanswered question in your industry, and what competitive advantage would come from answering it five times faster? #ArtificialIntelligence #AIforScience #ScientificDiscovery #Innovation #AIGovernance #Leadership
#aiforscience across platforms
every network with a public tag surfaceFollow #aiforscience 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/aiforscience