#modelcomparison

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

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4
Uses / 7 days
Mastodon
3
Accounts / 7 days
Mastodon
36
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 36
0.1
Avg reactions / post
Mastodon · last 36

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 11:14 UTC
2
07-21
1
07-22
1
07-23
0
07-24
0
07-25
0
07-26
0
07-27

4 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 11:14 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 11:14 UTC

Everything below is measured over the latest 36 public posts (spanning ~30067 hours).

Posting hours (UTC) — busiest: 18:00

00:0012:0023:00

Languages: English (32) · Korean (3) · Croatian (1)

Avg boosts / post: 0.3

Top of the latest posts

  • Comparative Analysis Of Performance And Mechanisms Of Flood Inundation Map Generation Using Height Above Nearest Drainage -- https://doi.org/10.1016/j.envsoft.2022.105565 <-- shared paper -- #GIS #spatial #mapping #model #modeling #flood #w

    💧🌏 Greg Cocks@[email protected]232023-02-17 04:10 UTCView post →
  • Wes Roth (@WesRoth) 동일한 딥리서치 프롬프트를 GPT 5.4, Opus 5.6, Gemini Deep Research(추정 Gemini 3.0)에 걸쳐 비교 실행(대부분 약 30분 소요). 작성자는 GPT 5.4가 매우 '반사적으로 반대 의견'을 보이며, 사용자의 사고에서 잘못된 점을 지적하는 데 우선순위를 두는 성향이 있어 불편하다고 평가함. https://x.com/WesRoth/status/20337376

    ainews@[email protected]102026-03-17 23:51 UTCView post →
  • #statstab #51 R Functions for Variance Decomposition {varde} Thoughts: A useful package to get more insight into your mixed effects model. #r #rstats #mixedeffects #lmm #research #modelcomparison https://github.com/jmgirard/varde

    Dr Mircea Zloteanu 🌺🌞🍃@[email protected]102024-03-18 18:58 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/modelcomparison