#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 · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 10:25 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 10:25 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 10:25 UTCEverything below is measured over the latest 17 public posts (spanning ~41642 hours).
Posting hours (UTC) — busiest: 20:00
Languages: English (15) · Norwegian (1) · German (1)
Avg boosts / post: 0.3
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
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
@joeyh I've read elsewhere that Google's Ngrams (and book scanning) is heavily skewed toward academic publishing from roughly 1920 -- 1990 or so. It's a combination of books falling into the copyright hole, emphasis on academic corpora (e.g
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