#ngrams
Live, measured metrics for the hashtag #ngrams from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #ngrams
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 2026-09-28 20:08 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 2026-09-28 20:08 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-28 20:08 UTCEverything below is measured over the latest 17 public posts (spanning ~38546 hours).
Posting hours (UTC) — busiest: 20:00
Languages: English (15) · Norwegian (1) · German (1)
Avg boosts / post: 0.5
Top of the latest posts
Oh, the irony! 🤖 An article that promises to demystify #Transformers with N-grams but really just masquerades as a job listing for a #DevOps Engineer at #arXiv. 📜 Because nothing says "deep understanding" like *skipping to the main conten
Ever wish you could #crawl a #website to generate a #targeted #wordlist, create #ngrams, and sort everything by frequency—all with a single, easy-to-use tool that doesn’t rely on Ruby or Python? Now you can, thanks to #Spider. https://forum
I was even thinking to use #ngrams data from https://marcoxbresciani.codeberg.page/keyboards/ergodash/ergodash.html#org2ca8e47 but even if I have those numbers, I have no idea on how to use them to create a better #Italian-based #ColemakDH
What “ngrams” means
WikipediaAn n-gram is a sequence of n adjacent symbols in a particular order. The symbols may be n adjacent letters, syllables, or rarely whole words found in a language dataset; or adjacent phonemes extracted from a speech-recording dataset, or adjacent base pairs extracted from a genome. They are collected from a text corpus or speech corpus.
“N-gram” on Wikipedia (CC BY-SA) →#ngrams across platforms
every network with a public tag surfaceFollow #ngrams 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/ngrams