#aerialod
Live, measured metrics for the hashtag #aerialod from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #aerialod
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 2026-09-02 09:02 UTC0 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 2026-09-02 09:02 UTCNo related tags with measured usage found for #aerialod.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-02 09:02 UTCEverything below is measured over the latest 28 public posts (spanning ~26001 hours).
Posting hours (UTC) — busiest: 21:00
Languages: English (23) · Spanish (2) · Italian (2) · French (1)
Avg boosts / post: 2.1
Top of the latest posts
A building and street map of Honolulu, Hawaiʻi. Sometimes I forget how fast GPU rendering can be. Created with #ggplot2 in #rstats and #aerialod with #openstreetmap data
Did you know that OSM data includes "building levels"? Following my tutorial you can create a 3D-map with #QGIS and #Aerialod and even emulate roofs! geo.rocks/post/guide-to-3d-osm-building-models #30DayMapChallenge day 8: OpenStreetMap. #g
#30DayMapChallenge Day 13, New tool Today, I explored #Aerialod 0.0.2 for the first time, which allows overlaying a colour image on a #3D model. The result? A stunning visualization of #Rotterdam, the Netherlands with some fog effects. #Ope
#aerialod across platforms
every network with a public tag surfaceFollow #aerialod 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/aerialod