#geospatialai

Live, measured metrics for the hashtag #geospatialai 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 #geospatialai

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.

$5.00/ year · 12-character #name
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card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
21
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 21
0.1
Avg reactions / post
Mastodon · last 21

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-07-27 14:35 UTC
0
07-21
1
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.online (Mastodon public search API) · fetched 2026-07-27 14:35 UTC

No related tags with measured usage found for #geospatialai.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-07-27 14:35 UTC

Everything below is measured over the latest 21 public posts (spanning ~16271 hours).

Posting hours (UTC) — busiest: 08:00

00:0012:0023:00

Languages: English (18) · French (2) · German (1)

Avg boosts / post: 0.8

Top of the latest posts

  • A new kind of #colonization, powered by #OpenAI: "While framed as a novel invitation to “anyone” to do #archaeological research, the competition focuses mainly on the Brazilian territory, transforming the #Amazonia and its peoples into an o

    Ecologia Digital@[email protected]♥ 3↻ 72025-06-30 14:17 UTCView post →

  • We love sharing what @heigit is up to. They recently ran a computer vision workshop with students at Explore Science 2026, teaching them how AI models get trained for humanitarian mapping, and why human input still matters for data quality.

    Stadia Maps@[email protected]♥ 0↻ 02026-07-22 10:04 UTCView post →

  • fly51fly (@fly51fly) Google Public Sector 연구자가 지리공간 파운데이션 모델의 흐름을 사전학습부터 에이전트형 추론까지 정리했습니다. 위성·지도·센서 데이터를 다루는 멀티모달 모델이 지리공간 질의, 계획, 분석 작업을 수행하는 방향을 다루며, 지리공간 AI 애플리케이션 및 에이전트 설계에 참고할 수 있습니다. https://x.com/fly51fly/status/2077507538787139624

    ainews@[email protected]♥ 0↻ 02026-07-16 00:53 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/geospatialai