#percentiles
Live, measured metrics for the hashtag #percentiles from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #percentiles
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 2026-10-18 14:44 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 2026-10-18 14:44 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-18 14:44 UTCEverything below is measured over the latest 6 public posts (spanning ~50030 hours).
Posting hours (UTC)
Languages: English (4) · text/htm (1)
Avg boosts / post: 3.2
Top of the latest posts
@crochet #percentiles Edging finished, and finally all the loose ends are sewn in. Really happy with the end result, I think the colours work really well!!
@RICARDO1 y las siguientes preguntas que aparecen son: ¿Quienes ganan esos promedios? ¿Como afecta a esos promedios la tasa de empleo? ¿Cual es el porcentaje de los super-ricos? Hablar de promedios es lo predilecto de la #derecha #fascista,
무엇이 정말 느린가: Rails 성능을 위한 실용 가이드 P95 지표를 활용하여 Rails 애플리케이션의 느린 액션을 정의하고 성능 병목을 식별하는 방법을 제시합니다. 🔗 원문 보기
What “percentiles” means
WikipediaIn statistics, a percentile or percentile score, also known as centile, is a score greater than a given percentage of all scores in a sample. I.e., a score in the k-th percentile would be above approximately k% of all scores in its sample. For example, the 97th percentile (P97) is the value such that 97% of the data points are less than it.
“Percentile” on Wikipedia (CC BY-SA) →#percentiles across platforms
every network with a public tag surfaceFollow #percentiles 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/percentiles