#ESMFold

Live, measured metrics for the hashtag #ESMFold from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #esmfold

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.

$240.06/ year · 7-character #name
Claim #esmfold — $240.06/yr→
Annual, renews each year
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card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
6
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 6
0.2
Avg reactions / post
Mastodon · last 6

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 09:22 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 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 2026-07-27 09:22 UTC
#esmfold2
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 09:22 UTC

Everything below is measured over the latest 6 public posts (spanning ~29734 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (5) · German (1)

Avg boosts / post: 0.8

Top of the latest posts

  • Currently testing Folding Playground A one-step solution for comparing #alphafold #omegafold #esmfold and #openfold #AI #protein #structure https://www.sphinxbio.com/post/folding-playground

    Alexis Verger@[email protected]♥ 1↻ 12023-09-14 07:54 UTCView post →

  • Pipeline release! nf-core/proteinfold v2.0.0 - Montseny Brook Newt! Protein 3D structure prediction pipeline Please see the changelog: https://github.com/nf-core/proteinfold/releases/tag/2.0.0 #alphafold2 #colabfold #esmfold #proteinfoldpre

    nf-core@[email protected]♥ 0↻ 02026-03-27 07:11 UTCView post →

  • #SaprotHub: Making #protein #modeling accessible to all biologists: -create & train own #DeepLearning models without the need for advanced #MachineLearning & coding expertise https://doi.org/10.1101/2024.05.24.595648 #DIYbio #bioinformatics

    Bose-Einstein-Kondensat@[email protected]♥ 0↻ 02024-06-06 10:17 UTCView post →

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/esmfold