#ondeviceinference

Live, measured metrics for the hashtag #ondeviceinference 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
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-07-28 16:15 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 · mastodon.online (Mastodon public search API) · fetched 2026-07-28 16:15 UTC

No related tags with measured usage found for #ondeviceinference.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-07-28 16:15 UTC

Everything below is measured over the latest 4 public posts (spanning ~5042 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4)

Avg boosts / post: 0

Top of the latest posts

  • Show HN: On-device Chrome extension that blocks credential leaks to LLM chats Redact는 크롬 브라우저 확장 프로그램으로, ChatGPT, Claude, Gemini 등 주요 LLM 채팅 서비스에 사용자가 붙여넣는 텍스트에서 자격 증명과 개인 식별 정보를 실시간으로 감지하고 차단한다. 모든 데이터 처리는 사용자의 브라우저 내에서 로컬 신경망 모델을 통해 이루어지며

    ainews@[email protected]♥ 0↻ 02026-06-03 23:42 UTCView post →

  • Q*Satoshi (@AiXsatoshi) Mac Studio M3 Ultra 512GB 발표 이후 1년도 채 안 됐음을 언급하며, 과거 수백만~수천만 엔 규모 서버가 필요하던 거대 LLM 추론이 이제 데스크톱 작은 기기에서 가능해졌다고 평가, 해당 제품을 시대를 바꾼 프로덕트로 칭송하고 있습니다. https://x.com/AiXsatoshi/status/2020360925199597868 #macstudio #m3ultra

    ainews@[email protected]♥ 0↻ 02026-02-08 19:48 UTCView post →

  • 🚀 Mistral just released Devstral 2, a 24‑billion‑parameter model under Apache 2.0, now with a lightweight laptop edition for on‑device code generation. It passes SWE‑Bench verification and shows emergent agentic behavior. Curious how this

    AI Daily Post@[email protected]♥ 0↻ 02025-12-09 20:32 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/ondeviceinference