#NLLB

Live, measured metrics for the hashtag #NLLB 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 #nllb

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.

$2,449.80/ year · 4-character #name
Claim #nllb — $2,449.80/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
5
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 5
0.4
Avg reactions / post
Mastodon · last 5
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-09-30 17:14 UTC
0
09-24
0
09-25
0
09-26
0
09-27
0
09-28
0
09-29
0
09-30

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.online (Mastodon public search API) · fetched 2026-09-30 17:14 UTC

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-30 17:14 UTC

Everything below is measured over the latest 5 public posts (spanning ~19976 hours).

Top of the latest posts

  • ما كنت لأرى نفسي أذكر عملاً لزكربيرق بخير، إلا أن القدر شاء أن يعمل فريق المطورين لشركة #ميتا (#meta) على نماذج #ذكاء_اصطناعي لغوية ومرئية مفتوحة المصدر، كانت سبباً مباشراً لظهور العديد من التقنيات والنماذج والخدمات المبنية عليها وهي نماذج:

    Mahmoud - محمود عبدالجواد@mahmoudajawad♥ 1↻ 02023-05-01 17:30 UTCView post →
  • "#Tigrinya and the rest of African languages, and by extension the hundreds of millions of people that speak these languages, are an afterthought for them." "When you compare #NLLB systems for African languages against those supported by Le

    DAIR@[email protected]♥ 1↻ 22023-03-04 20:44 UTCView post →
  • for some reason the things that i hate about #libretranslate is the models and it`s workflow, the base models are very bad especially for #persian. last year i had tried to fix it and gave 15 hours of my time to train the model and I didn't

    hikari@[email protected]♥ 0↻ 02024-10-20 18:04 UTCView post →

#nllb across platforms

every network with a public tag surface

Follow #nllb 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/nllb