#compBio

Live, measured metrics for the hashtag #compBio 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 #compbio

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 #compbio — $240.06/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.1
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-18 05:09 UTC
0
10-12
0
10-13
0
10-14
0
10-15
0
10-16
0
10-17
0
10-18

0 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 2026-10-18 05:09 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-18 05:09 UTC

Everything below is measured over the latest 40 public posts (spanning ~10823 hours).

Posting hours (UTC) — busiest: 09:00

00:0012:0023:00

Languages: English (36) · French (2)

Avg boosts / post: 0.4

Top of the latest posts

  • Hi all — #introduction Software engineer, 11 years in full-stack web/cloud (currently DoD), B.S. in Mathematics. Making the jump into bioinformatics — bringing the engineering/pipeline side, learning the biology as I go. Digging into Nextfl

    Zero Class SOLDIER@[email protected]♥ 1↻ 32026-08-28 01:28 UTCView post →
  • ‪💫 We just released the weights of the #FeNNixBio1 foundation machine learning model for drug design! 💫 Weights: https://github.com/FeNNol-tools/FeNNol-PMC FeNNol code: https://github.com/FeNNol-tools/FeNNol The models are distributed und

    Jean-Philip Piquemal@[email protected]♥ 1↻ 02025-12-24 07:05 UTCView post →
  • This paper is an interesting result that I've seen at a lot of poster sessions. Complicated machine learning models look good, but often they don't perform much better than simple #statistics models, like linear regression (if they even per

    James Hawley, PhD@[email protected]♥ 1↻ 22025-08-07 18:36 UTCView post →

#compbio across platforms

every network with a public tag surface

Follow #compbio 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/compbio