#ood

Live, measured metrics for the hashtag #ood 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 #ood

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.

$5,313.74/ year · 3-character #name
Claim #ood — $5,313.74/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
37
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 37
2.2
Avg reactions / post
Mastodon · last 37
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-11-12 13:59 UTC
0
11-06
0
11-07
0
11-08
0
11-09
0
11-10
0
11-11
0
11-12

0 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 2026-11-12 13:59 UTC

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-11-12 13:59 UTC

Everything below is measured over the latest 37 public posts (spanning ~79186 hours).

Posting hours (UTC) — busiest: 09:00

00:0012:0023:00

Languages: English (26) · German (3) · Russian (2) · Estonian (2) · French (2) · Dutch (1)

Avg boosts / post: 2.3

Top of the latest posts

  • #Introduction My name is Rafael. I was born in #PuertoRico and I've been living in #NYC for the past four years (I moved to #Brooklyn two years ago.) I'm 47 years old and I like: #Computing #ComputerProgramming #SoftwareDevelopment #AI #Vis

    Rafael Pérez :verify:@[email protected]♥ 35↻ 232022-11-15 17:03 UTCView post →
  • #DoctorWho #ood #cosplay #wool #crochet

    ƧƿѦςɛ♏ѦਹѤʞ@spacemagick♥ 14↻ 82025-05-15 18:29 UTCView post →
  • New preprint: AI_Bleeding — inference cost amplification via OOD linguistic payload TL;DR: send queries in Grecanico or Farsi to an LLM endpoint → TTFT +59.8%, compute cost +2.8%, statistically significant. No vuln, no volumetric signature,

    Caria Giovanni - Harpocrates@[email protected]♥ 8↻ 52026-06-02 10:21 UTCView post →

What “ood” means

Wikipedia

The Ood are an alien species from the long-running science fiction series Doctor Who. In the series' narrative, they are a peaceful race who have been enslaved by humans in the far future. The Ood are a telepathic species; however, humans—particularly the company Ood Operations—inhibited their telepathic communications, essentially lobotomising the Ood. During the course of the series, the Doctor encounters the Ood and later helps to free them from slavery.

“Ood” on Wikipedia (CC BY-SA) →

#ood across platforms

every network with a public tag surface

Follow #ood 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/ood