#tokenizer
Live, measured metrics for the hashtag #tokenizer from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #tokenizer
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 · mastodon.online (Mastodon public tags API) · fetched 2026-11-09 18:42 UTC0 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 2026-11-09 18:42 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-09 18:42 UTCEverything below is measured over the latest 37 public posts (spanning ~33546 hours).
Posting hours (UTC) — busiest: 08:00
Languages: English (24) · Russian (12) · Chinese (China) (1)
Avg boosts / post: 0
Top of the latest posts
An AI's tenth-best guess was a single space https://youtube.com/shorts/sSBX4RQPJGg #AI #LLM #Tokenizer #llamacpp #Qwen3
The dial that decides which word an AI picks https://youtube.com/shorts/sZYQuLEOsws #AI #LLM #Tokenizer #llamacpp #Qwen3
Why AI can't count the r's in strawberry https://youtube.com/shorts/BPGBULKf7FQ #AI #LLM #Tokenizer #llamacpp #Qwen3
What “tokenizer” 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 analysis” on Wikipedia (CC BY-SA) →#tokenizer across platforms
every network with a public tag surfaceFollow #tokenizer 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/tokenizer