#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.
Own #modelcomparison
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.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 11:14 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 11:14 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 11:14 UTCEverything below is measured over the latest 36 public posts (spanning ~30067 hours).
Posting hours (UTC) — busiest: 18:00
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
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
#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
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