#CrossView
Live, measured metrics for the hashtag #CrossView from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #crossview
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 2026-09-29 22:03 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 2026-09-29 22:03 UTCNo related tags with measured usage found for #crossview.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-29 22:03 UTCEverything below is measured over the latest 19 public posts (spanning ~41271 hours).
Posting hours (UTC) — busiest: 17:00
Languages: English (11) · German (2) · Japanese (1)
Avg boosts / post: 2.2
Top of the latest posts
Green Lynx Spider (Peucetia viridans) - #Arachtober 11 After yesterday's slightly flat stereo image, here is a much better one. Composition isn't the best, but it looks great in 3D. #CrossView #Stereogram #naturephotography #macrophotograph
#genuary29 Maximalism Cross-eyed stereo has the advantage that the two overlaid images help cancel out the compression artifacts. #genuary #genuary2023 #CrossView #Stereo #monochrome #generative #GenerativeArt #CreativeCoding #Processing #g
#spiegelreich #fotografie #photography #3D #stereoscopy #stereoscopic3d #stereoscopic #sbs #parallel #crossview #kreuzblick #dusseldorf http://www.spiegelreich.de
What “crossview” means
WikipediaAn autostereogram is a two-dimensional (2D) image that can create the optical illusion of a three-dimensional (3D) scene. Autostereograms use only one image to accomplish the effect while normal stereograms require two. The 3D scene in an autostereogram is often unrecognizable until it is viewed properly, unlike typical stereograms. Viewing any kind of stereogram properly may cause the viewer to experience vergence–accommodation conflict.
“Autostereogram” on Wikipedia (CC BY-SA) →#crossview across platforms
every network with a public tag surfaceFollow #crossview 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/crossview