#hyperfine
Live, measured metrics for the hashtag #hyperfine from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #hyperfine
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 · mas.to (Mastodon public tags API) · fetched 2026-11-05 04:10 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-11-05 04:10 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-11-05 04:10 UTCEverything below is measured over the latest 15 public posts (spanning ~59949 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (13) · Spanish (1)
Avg boosts / post: 0.7
Top of the latest posts
Next-generation portable MRI Swoop system launched in Europe Swoop system Hyperfine has announced the European launch of its next-generation Swoop system—an artificial intelligence (AI)-powered portable magnetic… #Europe #EU #AI #brainimagi
Qué interesante el comando hyperfine... no lo conocía, en general usaba el comando "time" para medir el tiempo de respuesta de un proceso por terminal... habrá que probarlo y ver qué otras opciones tiene! ¿Ya conocían hyperfine? ¿Lo han usa
I'll do benchmarks using my own bzcat and comparing that with bzip2's original bzcat. All running on an M1 laptop running Linux. The M1 CPU has both performance and efficiency cores. We'll run the benchmark on both, using hyperfine to do th
What “hyperfine” means
WikipediaIn atomic physics, hyperfine structure is defined by small shifts in otherwise degenerate electronic energy levels and the resulting splittings in those electronic energy levels of atoms, molecules, and ions, due to electromagnetic multipole interaction between the nucleus and electron clouds.
“Hyperfine structure” on Wikipedia (CC BY-SA) →#hyperfine across platforms
every network with a public tag surfaceFollow #hyperfine 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/hyperfine