#tensors

Live, measured metrics for the hashtag #tensors 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 #tensors

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.

$240.06/ year · 7-character #name
Claim #tensors — $240.06/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
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 · mastodon.social (Mastodon public tags API) · fetched 2026-10-14 04:26 UTC
0
10-08
0
10-09
0
10-10
0
10-11
1
10-12
0
10-13
0
10-14

1 uses by 1 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 2026-10-14 04:26 UTC

No related tags with measured usage found for #tensors.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-14 04:26 UTC

Everything below is measured over the latest 40 public posts (spanning ~22154 hours).

Posting hours (UTC) — busiest: 18:00

00:0012:0023:00

Languages: English (39) · Spanish (1)

Avg boosts / post: 0.2

Top of the latest posts

  • “"I can write some shitty #Python code", followed by an explanation of #tensors, and how this is relevant for #transformers back-propagation, #StochasticInference and #GPU computation... this interview has got to be the most badass thing I'

    ☮ ♥ ♬ 🧑‍💻@[email protected]♥ 2↻ 12026-10-12 20:54 UTCView post →
  • Run a 1T parameter model on a 32gb Mac by streaming tensors from NVMe https://github.com/t8/hypura #HackerNews #Run #a #1T #parameter #model #on #a #32gb #Mac #by #streaming #tensors #from #NVMe #https://github.com/t8/hypura #MachineLearnin

    Hacker News@h4ckernews♥ 1↻ 02026-03-24 16:42 UTCView post →
  • 🚀 **Introducing DevBytes**: Quick, fun dives into software & hardware engineering! I’m launching a new blog series that breaks down software concepts with bite-sized insights and hands-on tips. From **tensors in LLM models** 🧠 to quick co

    devsimsek@[email protected]♥ 1↻ 02025-02-14 20:19 UTCView post →

What “tensors” means

Wiktionary · Wikipedia

tensors

  • nounA muscle that stretches a part, or renders it tense.
  • verbTo compute the tensor product of two tensors.
Full entry on Wiktionary →

In mathematics, a tensor is an algebraic object that describes a multilinear relationship between sets of algebraic objects associated with a vector space. Tensors may map between different objects such as vectors, scalars, and even other tensors. There are many types of tensors, including scalars and vectors, dual vectors, multilinear maps between vector spaces, and even some operations such as the dot product. Tensors are defined independent of any basis, although they are often referred to by

“Tensor” on Wikipedia (CC BY-SA) →

#tensors across platforms

every network with a public tag surface

Follow #tensors 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/tensors