#lithology

Live, measured metrics for the hashtag #lithology 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 #lithology

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.

$51.02/ year · 9-character #name
Claim #lithology$51.02/yrBuy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
20
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 20
0.4
Avg reactions / post
Mastodon · last 20

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-07-30 15:14 UTC
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28
0
07-29
0
07-30

0 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 2026-07-30 15:14 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-07-30 15:14 UTC

Everything below is measured over the latest 20 public posts (spanning ~31129 hours).

Posting hours (UTC) — busiest: 22:00

00:0012:0023:00

Languages: English (20)

Avg boosts / post: 2.3

Top of the latest posts

  • Result of a Principal Component Analysis (PCA) based on combined median composites of Sentinel-1 and Sentinel-2 satellite imagery — somewhere in the desert of Sudan. The PCA highlights contrasts between different lithologies, structural dom

    Eugene@[email protected]442025-11-19 02:41 UTCView post →
  • Result of a Principal Component Analysis (PCA) created from combined median composites of Sentinel-1 and Sentinel-2 imagery — somewhere in the Sudanese desert. This PCA composite brings out contrasts between lithologies, structural domains,

    Eugene@[email protected]112025-11-20 17:10 UTCView post →
  • Exploring large-scale landscape structures with a simple Principal Component Analysis (PCA) applied to a MODIS composite. The PCA reveals striking contrasts in surface materials, vegetation patterns, and terrain transitions across western C

    Eugene@[email protected]122025-11-19 18:16 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/lithology