#swebench

Live, measured metrics for the hashtag #swebench from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #swebench

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.

$110.68/ year · 8-character #name
Claim #swebench — $110.68/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-11-13 04:33 UTC
0
11-07
0
11-08
0
11-09
0
11-10
0
11-11
0
11-12
0
11-13

0 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 2026-11-13 04:33 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-11-13 04:33 UTC

Everything below is measured over the latest 40 public posts (spanning ~8971 hours).

Posting hours (UTC) — busiest: 14:00

00:0012:0023:00

Languages: English (24) · Russian (12) · Portuguese (2) · Korean (1)

Avg boosts / post: 0

Top of the latest posts

  • Real-SWE puts coding agents on private production code. Best score: 38.8%. The failures are revealing: agents miss requirements, make assumptions instead of checking the repo, and integrate otherwise-correct ideas into the wrong parts of th

    Alvaro Lorente@alvarolorentedev@mastodon.social♥ 1↻ 02026-09-23 06:09 UTCView post →
  • 🎯 Self-reported agentic scores: 73.6 on #SWEbench Verified, 51.7 on Terminal-Bench 2.1, 65.3 on τ³ Overall and 67.9 on BFCL-v4. General: 83.8 GPQA Diamond, 84.8 MMLU-Pro, 95.8 ZebraLogic. Compared against LLaDA2.2 flash, Mercury 2.5 and #Q

    michabbb@michabbb@vivaldi.net♥ 0↻ 02026-11-05 21:37 UTCView post →
  • Из какой LLM получится хороший виртуальный сотрудник, или Почему валятся бенчмарки моделей для генерации кода В феврале 2026 года OpenAI рекомендовала оценивать ИИ-агентов для программирования по бенчмарку SWE-Bench Pro. Но уже 8 июля отозв

    Habr@habr@zhub.link♥ 0↻ 02026-11-03 12:12 UTCView post →

#swebench across platforms

every network with a public tag surface

Follow #swebench 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/swebench