#tooluse
Live, measured metrics for the hashtag #tooluse from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #tooluse
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 05:16 UTC4 uses by 3 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 2026-07-27 05:16 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 05:16 UTCEverything below is measured over the latest 40 public posts (spanning ~4438 hours).
Posting hours (UTC) — busiest: 21:00
Languages: English (38) · German (1)
Avg boosts / post: 0.4
Top of the latest posts
@perkinsy Thirty years ago my cat Straaltje discovered how to attract my attention in the kitchen when out of reach. She knew where to jump from the counter on a loose board so that I would feel it (I am #deaf). That board can also be consi
True open-source LLM Apertus 1.5 released Apertus 1.5가 8B·70B 규모로 공개됐으며, 가중치뿐 아니라 학습 데이터·학습 세부사항까지 공개하는 완전 오픈소스 방식을 유지한다. 이전 버전에서 추가 사전학습을 수행해 8B에는 텍스트·멀티모달 데이터 4조 토큰, 70B에는 2조 토큰을 더 투입했다. 새 모델은 네이티브 이미지 이해, 선택형 thinking mode, 262,144토큰 컨텍스
Apertus 1.5 Apertus 1.5는 기존 8B·70B 모델을 계속 사전학습해 출시한 완전 공개형(open weights·data·training details) 멀티모달 LLM이다. 이미지 이해, 실험적 음성 처리, 선택형 thinking mode, 개선된 지시 이행·도구 호출을 추가했으며 컨텍스트 창은 262,144토큰으로 4배 확대됐다. 8B에는 텍스트·멀티모달 데이터 4조 토큰, 70B에는 2조 토큰을 추가 학습
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/tooluse