#gemm

Live, measured metrics for the hashtag #gemm 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 #gemm

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.

$2,449.80/ year · 4-character #name
Claim #gemm — $2,449.80/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
22
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 22
0.1
Avg reactions / post
Mastodon · last 22
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-09-29 22:10 UTC
0
09-23
0
09-24
0
09-25
0
09-26
0
09-27
0
09-28
0
09-29

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 2026-09-29 22:10 UTC
#gemma
16 uses · 8 accounts / 7d
#gemma4
1 uses · 1 accounts / 7d
#Gemma3
7 uses · 6 accounts / 7d
#gemmacollins
1 uses · 1 accounts / 7d
#gemmini
0 uses · 0 accounts / 7d
#gemma_3
0 uses · 0 accounts / 7d
#Gemmato
2 uses · 2 accounts / 7d
#gemmanew
3 uses · 3 accounts / 7d
#gemme
0 uses · 0 accounts / 7d
#GemmaWinter
0 uses · 0 accounts / 7d
#GemmaCorrell
0 uses · 0 accounts / 7d
#GemmaHawkins
1 uses · 1 accounts / 7d

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-29 22:10 UTC

Everything below is measured over the latest 22 public posts (spanning ~25165 hours).

Posting hours (UTC) — busiest: 04:00

00:0012:0023:00

Languages: English (11) · Russian (10) · Polish (1)

Avg boosts / post: 0.5

Top of the latest posts

  • Amazing work from Sarah El-Kazdadi. #LibXSMM has become standard for applications needing small, dense matrix multiply/tensor contraction. It uses JIT, which was widely believed to be necessary to achieve high performance in this domain. Sa

    Jed Brown@[email protected]♥ 2↻ 32024-03-05 01:03 UTCView post →

  • Re-reading the old BLAS level 3 and #FLAME papers about microkernels and performance for performant #GEMM implementations in #BLAS, #GotoBLAS and #BLIS. I had forgotten how well written they are!

    Christos Argyropoulos@[email protected]♥ 1↻ 22026-07-05 16:38 UTCView post →

  • Упаковщик наносит ответный удар: ZA как машина транспонирования В этой части мы вернёмся к работе, которую предыдущие главы принимали как готовую: упаковке. Сначала найдём скалярную ловушку в упаковке B, затем используем ZA как машину транс

    Habr@[email protected]♥ 0↻ 02026-09-09 04:22 UTCView post →

#gemm across platforms

every network with a public tag surface

Follow #gemm 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/gemm