#TerminalBench

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

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
18
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 18
0
Avg reactions / post
Mastodon · last 18
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-30 22:09 UTC
0
10-24
0
10-25
0
10-26
0
10-27
0
10-28
0
10-29
0
10-30

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 2026-10-30 22:09 UTC

No related tags with measured usage found for #terminalbench.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-30 22:09 UTC

Everything below is measured over the latest 18 public posts (spanning ~5850 hours).

Posting hours (UTC) — busiest: 00:00

00:0012:0023:00

Languages: English (12) · Russian (4) · Portuguese (1) · Korean (1)

Avg boosts / post: 0

Top of the latest posts

  • Our Cline evaluation examined model portability, inference-cost visibility, and operational responsibility. A separate local Python MCP SDK test failed before tool invocation.#cline #aicodingagents #mcp #terminalbench #software #coding #dev

    Hack a Day (unofficial)@[email protected]♥ 0↻ 02026-10-07 00:38 UTCView post →
  • Artificial Analysis (@ArtificialAnlys) Ling 3.1 Flash는 Terminal-Bench v4.0에서 33%, AutomationBench-AA에서 62%를 기록했다. Ling 3.0 Flash의 각각 0%, 3% 대비 큰 폭의 향상으로, 터미널 기반 작업과 자동화 에이전트 성능 개선을 시사한다. https://x.com/ArtificialAnlys/status/2107440865203662

    ainews@[email protected]♥ 0↻ 02026-10-06 12:55 UTCView post →
  • 金のニワトリ (@gosrum) GPT-6.1 Sol 평가 완료 후 Terminal Bench 4.0 결과를 공개했다. 게시물에 따르면 Opus 5.5 medium과 GPT-6.1 Sol high의 점수는 동일하며, Opus 5.5 xhigh는 더 높은 성능을 보였다. 터미널 기반 에이전트의 실제 작업 수행 능력과 추론 예산별 성능을 비교하는 벤치마크 결과로 주목할 만하다. https://x.com/gosrum/status/21

    ainews@[email protected]♥ 0↻ 02026-09-30 13:56 UTCView post →

#terminalbench across platforms

every network with a public tag surface

Follow #terminalbench 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/terminalbench