#supercomputers

Live, measured metrics for the hashtag #supercomputers 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 #supercomputers

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 · 14-character #name
Claim #supercomputers — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
3
Uses / 7 days
Mastodon
3
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.1
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-15 10:24 UTC
0
10-09
1
10-10
0
10-11
1
10-12
1
10-13
0
10-14
0
10-15

3 uses by 3 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 2026-10-15 10:24 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-15 10:24 UTC

Everything below is measured over the latest 40 public posts (spanning ~6243 hours).

Posting hours (UTC) — busiest: 11:00

00:0012:0023:00

Languages: English (37) · Swedish (1) · Romanian (1)

Avg boosts / post: 0.7

Top of the latest posts

  • some notes about "AI", AI, and the hardware that we're running all of this on. (and explicitly stating LLMs are not anything like human intelligence, that's not the point here) Because believe it or not, realtime simulation of an entire act

    Anthropy@[email protected]♥ 2↻ 12026-07-19 20:29 UTCView post →
  • @hywan Re sources: Check out the comments in the long thread responding to @randahl’s post on the matter, plus I’m finding more & more informal comments by multiple real life users scattered across Fedi. There’s also a chart showing technic

    Su_G@[email protected]♥ 1↻ 02026-10-12 11:46 UTCView post →
  • Jeremy Hsu pointing out - on 13 Oct - that Russia’s getting back what it started (kabooming data centres) is not working out so well for them because: centralised (Ukraine’s are more decentralised, some even underground). Several lessons he

    Su_G@[email protected]♥ 0↻ 82026-10-13 04:52 UTCView post →

What “supercomputers” means

Wiktionary · Wikipedia

supercomputers

  • nounAny computer that has a far greater processing power than others of its day; typically they use more than one core and are housed in large clean rooms with high air flow to permit cooling. Typical uses are weather forecasting, nuclear simulations and animations.
Full entry on Wiktionary →

A supercomputer is a type of computer with a high level of performance as compared to a general-purpose computer. Supercomputers play an important role in the field of computational science, and are used for a wide range of computationally intensive tasks in various fields including quantum mechanics, weather forecasting, climate research, oil and gas exploration, molecular modeling, and physical simulations. They have been essential in the field of cryptanalysis.

“Supercomputer” on Wikipedia (CC BY-SA) →

#supercomputers across platforms

every network with a public tag surface

Follow #supercomputers 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/supercomputers