#Splats
Live, measured metrics for the hashtag #Splats from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #splats
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 · mas.to (Mastodon public tags API) · fetched 2026-11-08 19:12 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-11-08 19:12 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-11-08 19:12 UTCEverything below is measured over the latest 8 public posts (spanning ~24904 hours).
Posting hours (UTC)
Languages: English (8)
Avg boosts / post: 0.8
Top of the latest posts
During this Education Session, hosted by the Forum's 3D Assets Working Group, members from The Khronos Group, Alliance for OpenUSD (AOUSD), and MPEG gave their latest updates on various Gaussian splats efforts. https://youtu.be/f7tn0MA8TXM?
RE: https://fosstodon.org/@thekhronosgroup/116007149188296167 The Metaverse Standards Forum is proud to have been a a facilitator in getting this new Gaussian Splatting storage extension in glTF started! #Gaussian #Splats #glTF #interoperab
3D Formats member, Adam Morris (Bentley Systems/Cesium) sits down with host Muthu Kumar (Geoawesome) to break down how 3D Gaussian Splatting works, why it outperforms traditional 3D models in complex visual inspection tasks, and how Khrono
What “splats” means
Wiktionary · Wikipediasplats
- nounThe narrow wooden centre piece of a chair back.
- nounThe sharp, atonal sound of a liquid or soft solid hitting a solid surface.
Splats is a fanzine with comics. It is sold mainly within Patras as well as other cities. The volume does not number and its stories are entirely humoristic.
“Splats” on Wikipedia (CC BY-SA) →#splats across platforms
every network with a public tag surfaceFollow #splats straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/splats