#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
1
Uses / 7 days
Mastodon
1
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 · mastodon.online (Mastodon public tags API) · fetched 2026-10-31 00:15 UTC
0
10-25
0
10-26
1
10-27
0
10-28
0
10-29
0
10-30
0
10-31

1 uses by 1 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 2026-10-31 00:15 UTC
#swebenchlite
0 uses · 0 accounts / 7d
#swebench_verified_benchmark
0 uses · 0 accounts / 7d
#swebenchdrama
0 uses · 0 accounts / 7d
#swebench_verified
0 uses · 0 accounts / 7d
#swebenchverified
0 uses · 0 accounts / 7d
#swebenchpassers
0 uses · 0 accounts / 7d
#swebenchmark
0 uses · 0 accounts / 7d
#swebench_pro
0 uses · 0 accounts / 7d
#swebenchpro
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-31 00:15 UTC

Everything below is measured over the latest 40 public posts (spanning ~5972 hours).

Posting hours (UTC) — busiest: 14:00

00:0012:0023:00

Languages: English (24) · Russian (11) · German (2) · Portuguese (2) · Italian (1)

Avg boosts / post: 0

Top of the latest posts

  • Coding agents are graded on whether they can write code that passes tests, but nobody grades the review work that code creates once it lands in the queue. https://hackernoon.com/swe-bench-scores-say-nothing-about-the-code-your-reviewers-inh

    HackerNoon@[email protected]♥ 0↻ 02026-10-27 00:15 UTCView post →

  • NVIDIA 연구진이 사전학습과 SFT 사이에 256K 컨텍스트 미드트레이닝을 넣어 에이전틱 코딩 성능을 높이는 공개 레시피를 제시했다. 저장소·PR·커밋 이력·빌드 로그 등 자연 소프트웨어 엔지니어링 데이터와 소량의 에이전트 트레이스를 수천억 토큰 규모로 학습한다. Nemotron 3.5 Lightning은 동일한 전체 SFT 후 SWE-bench Multilingual이 55.8→62.8, Verified가 60.7→64.

    ainews@[email protected]♥ 0↻ 02026-10-18 05:41 UTCView post →

  • Дал девяти популярным скиллам для Claude Code плацебо: два лучше пустышки, один хуже Я сравнил девять самых популярных скиллов для Claude Code с пустышкой: нейтральным текстом той же длины, без единого совета, как работать. Агент 450 раз ре

    Habr@[email protected]♥ 0↻ 02026-10-08 10:12 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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