#rtree
Live, measured metrics for the hashtag #rtree from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #rtree
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 · mastodon.social (Mastodon public tags API) · fetched 2026-10-11 11:35 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-11 11:35 UTCNo related tags with measured usage found for #rtree.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-11 11:35 UTCEverything below is measured over the latest 2 public posts (spanning ~17200 hours).
Posting hours (UTC)
Languages: Russian (1) · English (1)
Avg boosts / post: 0
Top of the latest posts
Как мы ищем рестораны на карте: геоиндекс в Яндекс Еде Любому пользователю сервиса доставки еды важно быстро получать актуальную информацию о доступных ресторанах и стоимости доставки. От нас же простая задача определить, из каких ресторано
About Polygon Indexing: Comments on a new geospatial library with interesting indexing https://simonwillison.net/2023/Sep/23/tg-polygon-indexing/ #spatialite #database #rtree #maps #gis #+
What “rtree” means
WikipediaR-trees are tree data structures used for spatial access methods, i.e., for indexing multi-dimensional information such as geographical coordinates, rectangles or polygons. The R-tree was proposed by Antonin Guttman in 1984 and has found significant use in both theoretical and applied contexts. A common real-world usage for an R-tree might be to store spatial objects such as restaurant locations or the polygons that typical maps are made of: streets, buildings, outlines of lakes, coastlines, etc
“R-tree” on Wikipedia (CC BY-SA) →#rtree across platforms
every network with a public tag surfaceFollow #rtree 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/rtree