#tokenize
Live, measured metrics for the hashtag #tokenize from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #tokenize
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 · mas.to (Mastodon public tags API) · fetched 2026-10-15 10:24 UTC0 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 2026-10-15 10:24 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-15 10:24 UTCEverything below is measured over the latest 8 public posts (spanning ~24417 hours).
Posting hours (UTC)
Languages: English (5) · Russian (1) · German (1) · Portuguese (1)
Avg boosts / post: 0.8
Top of the latest posts
Реактивность без React или как обойтись без id в html элементах Странный заголовок, не правда ли? А зачем вообще обходиться без id? Даже не знаю, но это вполне возможно, и приложение будет живым и вполне себе «реактивным». А всю «магию» при
Q: What do all 3 main #political parties in #BritishColumbia have in common? A: All 3 love to exploit & #tokenize #BIPOC people. All 3 love BIPOC folks with #InternalizedRacism & OK #SellingOut for a public office power position. #BCpoli #B
The recent political drama in BC hasn't changed how I am going to vote. I'd rather slit my own throat than to vote for any #conservatives or any #neoliberals. Both of those parties want people like me to die & stop demanding accountability
What “tokenize” means
WikipediaLexical tokenization is conversion of a text into meaningful lexical tokens belonging to categories defined by a "lexer" program. In case of a natural language, those categories include nouns, verbs, adjectives, punctuations etc. In case of a programming language, the categories include identifiers, operators, grouping symbols, data types and language keywords. Lexical tokenization is related to the type of tokenization used in large language models (LLMs) but with two differences. First, lexica
“Lexical analysis” on Wikipedia (CC BY-SA) →#tokenize across platforms
every network with a public tag surfaceFollow #tokenize 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/tokenize