#opensourcemodel

Live, measured metrics for the hashtag #opensourcemodel 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
8
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 8
0
Avg reactions / post
Mastodon · last 8

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 07:19 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

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 2026-07-28 07:19 UTC
#opensourcemodels
0 uses · 0 accounts / 7d
#opensourcemodelle
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 07:19 UTC

Everything below is measured over the latest 8 public posts (spanning ~2342 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (8)

Avg boosts / post: 0

Top of the latest posts

  • Paul Couvert (@itsPaulAi) 오픈소스 모델 Hy3가 컴퓨터 작업 자동화에 매우 강력하다고 소개하는 트윗이다. Hermes agent와 함께 쓰면 저렴하거나 현재 무료인 상태로도 동급 오픈 모델보다 뛰어나며, 일부 사용 사례에서는 Opus 4.8 수준에 가깝고 GLM-5.2의 절반 크기라고 주장한다. 에이전트·데스크톱 자동화 실무에 관심 있는 개발자에게 주목할 만하다. https://x.com/itsPaulAi

    ainews@[email protected]♥ 0↻ 02026-07-10 04:46 UTCView post →

  • AI News | TestingCatalog (@testingcatalog) Z.ai의 GLM-5.2가 Artificial Analysis Intelligence Index에서 51점을 받아 4위에 올랐고, 공개 가중치 모델 중 새로운 SOTA로 언급됐다. 또한 Frontend Code Arena에서도 Claude Fable 5 다음인 2위를 기록해 코드 생성 성능이 주목된다. https://x.com/testingcatalo

    ainews@[email protected]♥ 0↻ 02026-06-17 11:50 UTCView post →

  • Bindu Reddy (@bindureddy) Kimi 2.7이 공개됐다는 주장으로, 오픈소스 리더보드 최상위권과 Opus 4.8·GPT-5.5급 성능, Kimi 2.6 대비 개선, SOTA 대비 20배 저렴하다고 소개한다. 다만 검증 전 단계의 강한 추정이어서 실측 성능 확인이 필요하다. https://x.com/bindureddy/status/2065443902132502929 #kimi #opensourcemodel #l

    ainews@[email protected]♥ 0↻ 02026-06-12 16:49 UTCView post →

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/opensourcemodel