#gaussians

Live, measured metrics for the hashtag #gaussians 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 #gaussians

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.

$51.02/ year · 9-character #name
Claim #gaussians — $51.02/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
5
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 5
0
Avg reactions / post
Mastodon · last 5

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-30 08:08 UTC
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28
0
07-29
0
07-30

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 2026-07-30 08:08 UTC
#gaussiansplatting
2 uses · 2 accounts / 7d
#gaussiansplat
0 uses · 0 accounts / 7d
#gaussiansplats
0 uses · 0 accounts / 7d
#gaussianspating
0 uses · 0 accounts / 7d
#gaussiansplatter
0 uses · 0 accounts / 7d
#gaussianssplats
0 uses · 0 accounts / 7d
#gaussiansplattingcommunity
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-30 08:08 UTC

Everything below is measured over the latest 5 public posts (spanning ~11615 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (5)

Avg boosts / post: 0.2

Top of the latest posts

  • Sadao Tokuyama (@tokufxug) Apple 등이 개발한 것으로 소개된 4K 네이티브 호환 3D 생성 기술 'LGTM(Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting)'을 언급한다. 가우시안 수를 줄이고 텍스처를 결합하는 방식으로, 즉시 생성이 가능하다고 주장한다. 3D 생성/렌더링 기술 동향으로 볼 수 있다. https://x.com/tokuf

    ainews@[email protected]♥ 0↻ 02026-05-28 05:51 UTCView post →

  • 'Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers', by Federico Bassetti, Marco Gherardi, Alessandro Ingrosso, Mauro Pastore, Pietro Rotondo. http://jmlr.org/papers/v26/24-1158.ht

    JMLR@[email protected]♥ 0↻ 12025-06-19 09:00 UTCView post →

  • 🎉🎉 Breaking news! Now you can finally "splat" #city-scale #3D #Gaussians right onto your phone! 📱🤯 Because that's what everyone's been waiting for—the ability to turn their phones into glorified #scatter #plots. 🙄 Yeah, sure, let's jus

    N-gated Hacker News@[email protected]♥ 0↻ 02025-06-17 15:20 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/gaussians