#numericalcomputing

Live, measured metrics for the hashtag #numericalcomputing from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
18
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 18
0.7
Avg reactions / post
Mastodon · last 18
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-09-28 04:28 UTC
0
09-22
0
09-23
0
09-24
0
09-25
0
09-26
0
09-27
0
09-28

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 2026-09-28 04:28 UTC

No related tags with measured usage found for #numericalcomputing.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-28 04:28 UTC

Everything below is measured over the latest 18 public posts (spanning ~30566 hours).

Posting hours (UTC) — busiest: 14:00

00:0012:0023:00

Languages: English (17) · Italian (1)

Avg boosts / post: 1.2

Top of the latest posts

  • I recently dumped my notes on modulus of convergence for hypergeometric functions on my website. I also had some thoughts on numerical accuracy. Not very valuable thoughts, but thoughts nonetheless. For those who are wondering why anyone wo

    Skewray Research@[email protected]♥ 8↻ 62025-09-02 16:24 UTCView post →
  • GNU Octave 11 introduce miglioramenti significativi per prestazioni, precisione numerica, GUI e compatibilità MATLAB. Scopri tutte le novità della nuova versione. #GNUOctave #OpenSource #NumericalComputing #Linux https://www.linuxeasy.org/g

    Linux Easy@[email protected]♥ 2↻ 02026-02-24 12:21 UTCView post →
  • Curious how JAX actually wires gradients, JIT, and vectorization together? This piece breaks down the transformations engine behind JAX’s behavior. 👉 https://zalt.me/blog/2026/06/transformations-engine #JAX #Python #MachineLearning #numeri

    Mahmoud Zalt@zalt♥ 1↻ 02026-06-19 05:18 UTCView post →

#numericalcomputing across platforms

every network with a public tag surface

Follow #numericalcomputing 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/numericalcomputing