#benchmarks
Live, measured metrics for the hashtag #benchmarks from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #benchmarks
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 2026-10-27 17:59 UTC25 uses by 15 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 2026-10-27 17:59 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-27 17:59 UTCEverything below is measured over the latest 40 public posts (spanning ~254 hours).
Posting hours (UTC) — busiest: 23:00
Languages: English (40)
Avg boosts / post: 0.3
Top of the latest posts
DeepSeek R1 0528 (May '25) scores 81.3% on GPQA, but its 6.3 intelligence points per dollar shows how much reasoning you get for the cost. See the full independent benchmark breakdown on https://olud.ai. https://olud.ai/leaderboard.html #LL
I spent an afternoon on the RAID leaderboard trying to settle a simple question: where does...#machinelearning #benchmarks #datascience #ai #software #coding #development #engineering #inclusive #community The same detector is 2nd, 4th, 6th
Rerunning the same agent configuration changed the outcome on 13% of tasks. Swapping the harness —...#ai #agents #benchmarks #research #software #coding #development #engineering #inclusive #community Switching agent harnesses may be noise:
What “benchmarks” means
Wiktionarybenchmarks
- nounA standard by which something is evaluated or measured.
- verbTo measure the performance or quality of (an item) relative to another similar item in an impartial scientific manner.
#benchmarks across platforms
every network with a public tag surfaceFollow #benchmarks 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/benchmarks