#AlphaFold
Live, measured metrics for the hashtag #AlphaFold from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #alphafold
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 2026-10-19 01:26 UTC1 uses by 1 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 2026-10-19 01:26 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-19 01:26 UTCEverything below is measured over the latest 40 public posts (spanning ~2787 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (33) · German (4) · Russian (2) · Chinese (1)
Avg boosts / post: 2.1
Top of the latest posts
🧬 Google shuts down its Nobel-prize winning AlphaFold project as it focuses on Gemini ｢ AlphaFold is an AI program that can accurately predict three-dimensional structures of proteins from their amino acid sequences in minutes instead of y
Google kills AlphaFold. So much for AI curing cancer - YouTube https://www.youtube.com/watch?v=BuiEVOSTbN4 by @davidgerard #AI #LLM #Google #GoogleDeepMind #DeepMind #AlphaFold #Medicine #Chemistry
I'm seeing quite some indignation in Mastodon about the #AlphaFold team being shut down. I think some context from someone in this area may clarify some things. First, neither the AlphaFold models nor the AlphaFold database are going away,
What “alphafold” means
WikipediaAlphaFold is an artificial intelligence (AI) program developed by DeepMind, a subsidiary of Alphabet, which performs predictions of protein structure. It is designed using deep learning techniques.
“AlphaFold” on Wikipedia (CC BY-SA) →#alphafold across platforms
every network with a public tag surfaceFollow #alphafold 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/alphafold