#codonbias

Live, measured metrics for the hashtag #codonbias 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 #codonbias

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.

$51.02/ year · 9-character #name
Claim #codonbias — $51.02/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
2
Avg reactions / post
Mastodon · last 2
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-11-07 09:04 UTC
0
11-01
0
11-02
0
11-03
0
11-04
0
11-05
0
11-06
0
11-07

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-11-07 09:04 UTC

No related tags with measured usage found for #codonbias.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-11-07 09:04 UTC

Everything below is measured over the latest 2 public posts (spanning ~13242 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (2)

Avg boosts / post: 6

Top of the latest posts

  • Our latest paper https://elifesciences.org/articles/87335 directly measures the #EffectivePopulationSize that matters to #NearlyNeutralTheory / #DriftBarrier theory, as the degree to which #CodonBias differs from expectations from GC conten

    Joanna Masel@[email protected]♥ 4↻ 32024-09-06 16:56 UTCView post →

  • Our latest #preprint develops a new metric of #CodonAdaptation (not just #CodonBias) to measure the kind of #EffectivePopulationSize that matters to #NearlyNeutralTheory, and uses it to discover that #NaturalSelection prefers high #Intrinsi

    Joanna Masel@[email protected]♥ 0↻ 92023-03-04 22:41 UTCView post →

#codonbias across platforms

every network with a public tag surface

Follow #codonbias 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/codonbias