#tsbench
Live, measured metrics for the hashtag #tsbench from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #tsbench
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 04:03 UTC0 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 2026-07-28 04:03 UTCNo related tags with measured usage found for #tsbench.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 04:03 UTCEverything below is measured over the latest 5 public posts (spanning ~3172 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 0
Top of the latest posts
金のニワトリ (@gosrum) MiniMax M3와 opencode를 활용한 ts-bench 결과를 공유합니다. 에러율은 상당히 낮아 툴 콜 능력은 좋아 보이지만, 전체 점수는 기대에 못 미친다는 평가로, 에이전트/코딩 벤치마크 관점에서 참고할 만합니다. https://x.com/gosrum/status/2061396588720017804 #minimax #opencode #tsbench #toolcall #llm
金のニワトリ (@gosrum) GLM-5.1의 ts-bench 벤치마크 결과를 공유했다. 다른 로컬 LLM도 만점을 받은 적은 있지만, GLM-5.1은 N=3 조건에서 일관되게 만점을 기록한 첫 로컬 LLM이라고 강조한다. https://x.com/gosrum/status/2041709112661008859 #glm #benchmark #localllm #tsbench #llm
金のニワトリ (@gosrum) Qwen3.5의 ts-bench 결과(9B, 0.8B)를 공유. 9B 모델은 gpt-oss-120b에는 명확히 못 미치지만 해당 파라미터 규모에서 준수한 성능을 보임. 반면 0.8B 모델은 코딩 에이전트 용도로는 실용적이지 않음. https://x.com/gosrum/status/2028484256759259580 #qwen #benchmark #tsbench #llm
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/tsbench