#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.
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.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 09:27 UTC0 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 09:27 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 09:27 UTCEverything below is measured over the latest 5 public posts (spanning ~19976 hours).
Posting hours (UTC)
Languages: English (3) · Arabic (1) · German (1)
Avg boosts / post: 0.6
Top of the latest posts
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
#TIL that @wikipedia already uses the #NLLB model to automatically translate articles: https://www.mediawiki.org/wiki/Content_translation/Machine_Translation/MinT.
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:
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