#approximations
Live, measured metrics for the hashtag #approximations from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #approximations
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 2026-09-25 22:56 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 2026-09-25 22:56 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-25 22:56 UTCEverything below is measured over the latest 12 public posts (spanning ~54850 hours).
Posting hours (UTC) — busiest: 09:00
Languages: English (10) · French (2)
Avg boosts / post: 0.4
Top of the latest posts
France24 speaks french like a vache espagnole Les gars sont journalistes.... (ou alors des #ia_generative ?) #journalisme #anglicismes #approximations #merdification
Solving #brain dynamics gives rise to flexible machine learning models | #MIT CSAIL Liquid neural networks made an order of magnitude faster and more scalable by the use of closed form #approximations, that is, “closed-form continuous-time”
#Cholestérol : le grand #bluff | ARTE Comment le cholestérol a été érigé en #coupable idéal des #maladies cardio-vasculaires par une #série d' #approximations #scientifiques. Un #dogme dont un nombre croissant de #chercheurs dénoncent les #
What “approximations” means
Wiktionary · WikipediaAn approximation is anything that is intentionally similar but not exactly equal to something else.
“Approximation” on Wikipedia (CC BY-SA) →#approximations across platforms
every network with a public tag surfaceFollow #approximations 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/approximations