#embeddings

Live, measured metrics for the hashtag #embeddings 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 #embeddings

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.

$23.52/ year · 10-character #name
Claim #embeddings — $23.52/yr→
Annual, renews each year
Buy on hashtag.space (web3)
one-timepay once, yours for life
card via hashtag.org · tokens via hashtag.space
6
Uses / 7 days
Mastodon
5
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 02:52 UTC
1
07-21
0
07-22
1
07-23
4
07-24
0
07-25
0
07-26
0
07-27

6 uses by 5 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 02:52 UTC
#EarthEmbeddings
0 uses · 0 accounts / 7d
#openai_embeddings_api
0 uses · 0 accounts / 7d
#SatelliteEmbeddings
0 uses · 0 accounts / 7d
#embeddingsapi
0 uses · 0 accounts / 7d
#word_embeddings
0 uses · 0 accounts / 7d
#text_embeddings
0 uses · 0 accounts / 7d
#sense_embeddings
0 uses · 0 accounts / 7d
#vector_embeddings
0 uses · 0 accounts / 7d
#SemanticEmbeddings
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 02:52 UTC

Everything below is measured over the latest 40 public posts (spanning ~1437 hours).

Posting hours (UTC) — busiest: 06:00

00:0012:0023:00

Languages: Russian (17) · English (15) · Polish (4) · Italian (1)

Avg boosts / post: 0.3

Top of the latest posts

  • New #GLaDpodcast episode: #embeddings for the rest of us! Join @rsfrankl, Levi and yours truly for a (hopefully) “lay enough” conversation about one of the most interesting ideas in geo-data that the last few years have produced. https://ww

    Dani Arribas-Bel@[email protected]♥ 1↻ 12026-05-27 10:46 UTCView post →

  • Another day, another #AI #cookbook 🍳: Claude's "Practical Guides" for the hopelessly optimistic 🛠️, boasting magical "semantic embeddings" and "automatic #context compaction" 💡. Because what we really needed was an #AI that can zoom into

    N-gated Hacker News@[email protected]♥ 0↻ 02026-07-24 08:30 UTCView post →

  • How a computer reads text - from counting words to vectors From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb... https://gruszka.dev/en/how-computer-reads-text.html #llm #ai #nlp #tokenizati

    Błażej Gruszka@[email protected]♥ 0↻ 12026-07-24 06:41 UTCView post →

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/embeddings