#tokenized
Live, measured metrics for the hashtag #tokenized from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #tokenized
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.social (Mastodon public tags API) · fetched 2026-10-15 09:31 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.social (Mastodon public search API) · fetched 2026-10-15 09:31 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-15 09:31 UTCEverything below is measured over the latest 33 public posts (spanning ~70582 hours).
Posting hours (UTC) — busiest: 09:00
Languages: English (30) · Lithuanian (1) · Indonesian (1) · German (1)
Avg boosts / post: 1.2
Top of the latest posts
If you're a radical leftie & able to act in character - you can infiltrate far right groups without too much extra efforts. They're not too bright & they don't have as much public support as they want. They LOVE it when any POC can be #toke
Ok y'all, someone in my pocket friends has to be a financial expert re #crypto and #stocks ...because what's about to happen makes no sense to me, and I need someone to explain why this isn't bad. The #SEC is preparing to introduce a regula
Episode 10 - Coinbase Prediction Market & Tokenized Equities Game Changer! #coinbase #predictionmarkets #tokenized #equities #stocks #trading #wallstreet
What “tokenized” means
Wiktionary · 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) →#tokenized across platforms
every network with a public tag surfaceFollow #tokenized 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/tokenized