#GreenOps

Live, measured metrics for the hashtag #GreenOps 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 #greenops

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.

$110.68/ year · 8-character #name
Claim #greenops — $110.68/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
35
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 35
1.7
Avg reactions / post
Mastodon · last 35
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-09-28 16:39 UTC
0
09-22
0
09-23
1
09-24
0
09-25
0
09-26
0
09-27
0
09-28

1 uses by 1 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 2026-09-28 16:39 UTC

No related tags with measured usage found for #greenops.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-28 16:39 UTC

Everything below is measured over the latest 35 public posts (spanning ~39725 hours).

Posting hours (UTC) — busiest: 09:00

00:0012:0023:00

Languages: English (30) · French (4) · Russian (1)

Avg boosts / post: 2.2

Top of the latest posts

  • Your coding agent just spent 10 million tokens to fix a single bug. Is it worth it? 😉 Other researchers have found similar results. Bai et al. (2026) measured coding agents on real software tasks and found they consume roughly 1,000 times

    Jürgen@[email protected]♥ 34↻ 402026-08-07 11:30 UTCView post →
  • « Ending Moore law » by @nitot and introducing « erooM law »: optimizing by factor 2 every 24 months on the same hardware! And because we are at #devopsdday : #finops and #greenops because #devops have a role to play in reducing carbon foot

    Olivier Bierlaire@obierlaire♥ 12↻ 122023-11-23 09:26 UTCView post →
  • We are pleased to announce the very first release of Spruce https://github.com/DigitalPebble/spruce Spruce is an #opensource project which helps estimate the environmental impact of your cloud usage. By leveraging open source models and dat

    DigitalPebble Ltd@digitalpebble♥ 3↻ 32025-08-20 09:50 UTCView post →

What “greenops” means

Wikipedia

Greenops is a mid-sized Devonian trilobite of the order Phacopida, subfamily Asteropyginae. They are mainly reported from the mid-Devonian Hamilton Group of upstate New York and southwestern Ontario. A similar-looking trilobite from Morocco is often mis-labelled Greenops. Greenops had schizocroidal eyes, large genal spines and short, sharp spines at the tip of each segment of the pygidium ("tail"). Greenops lived in warm, fairly deep water. In the Hamilton Group of New York, they are found with

“Greenops” on Wikipedia (CC BY-SA) →

#greenops across platforms

every network with a public tag surface

Follow #greenops 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/greenops