#multimodel

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

hashtag.org network · sponsored

Own #multimodel

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$23.52/ year · 10-character #name
Claim #multimodel — $23.52/yr→
Annual, renews each year
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one-timepay once, yours for life
card via hashtag.org · tokens via hashtag.space
3
Uses / 7 days
Mastodon
2
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 04:30 UTC
2
07-21
0
07-22
0
07-23
0
07-24
0
07-25
1
07-26
0
07-27

3 uses by 2 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 04:30 UTC
#multimodelai
0 uses · 0 accounts / 7d
#multimodelensemble
0 uses · 0 accounts / 7d
#multimodeldatabase
0 uses · 0 accounts / 7d
#multimodelrouting
0 uses · 0 accounts / 7d
#multimodelmarketing
0 uses · 0 accounts / 7d
#multimodelautomation
0 uses · 0 accounts / 7d
#multimodelapproach
0 uses · 0 accounts / 7d
#multimodelllms
0 uses · 0 accounts / 7d
#multimodelcopilot
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 04:30 UTC

Everything below is measured over the latest 40 public posts (spanning ~3824 hours).

Posting hours (UTC) — busiest: 06:00

00:0012:0023:00

Languages: English (39) · Russian (1)

Avg boosts / post: 0

Top of the latest posts

  • TonoKen3Local LLM&Infrastructure Architectとのけん (@Tono_Ken3) GLM의 CPU 추론 속도가 7 TPS에서 13.5 TPS로 개선된 상황에서, 추론(thinking)은 영어 기반 표현으로 처리하고 실제 작업은 영어에 강한 Laguna-S-2.1로 분리하는 다중 모델 파이프라인을 실험하는 아이디어를 제시했다. 언어별 모델 강점과 병렬 처리량을 조합하려는 에이전트 설계 관점의 제안이다.

    ainews@[email protected]♥ 0↻ 02026-07-26 05:48 UTCView post →

  • Tom Krcha (@tomkrcha) pen.dev는 하나의 캔버스에서 OpenAI, Claude, Cursor, Gemini, OpenCode, Fireworks AI, Together AI 등 여러 제공자의 모델을 활용하는 멀티모델 디자인 워크플로를 제시했다. 디자인·프론트엔드 생성 작업에서 모델별 강점 비교와 공급자 전환을 간소화하는 도구다. https://x.com/tomkrcha/status/2079253869885

    ainews@[email protected]♥ 0↻ 02026-07-21 06:54 UTCView post →

  • Tom Krcha (@tomkrcha) pen.dev가 여러 모델을 병렬·실시간으로 평가하는 프론트엔드 디자인 에이전트를 제공한다고 소개했다. ChatGPT, Claude 구독, OpenCode Go, GitHub Copilot, Cursor 등을 연결해 동일한 디자인 작업에서 모델별 결과를 비교할 수 있는 워크플로를 지향한다. https://x.com/tomkrcha/status/2079253857834828230 #desi

    ainews@[email protected]♥ 0↻ 02026-07-21 06:54 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/multimodel