#bm25

Live, measured metrics for the hashtag #bm25 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 #bm25

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 #bm25 — $2,449.80/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
2
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
36
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 36
0
Avg reactions / post
Mastodon · last 36
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-09-16 19:54 UTC
0
09-10
0
09-11
0
09-12
0
09-13
0
09-14
2
09-15
0
09-16

2 uses by 1 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 2026-09-16 19:54 UTC

No related tags with measured usage found for #bm25.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-09-16 19:54 UTC

Everything below is measured over the latest 36 public posts (spanning ~24196 hours).

Posting hours (UTC) — busiest: 14:00

00:0012:0023:00

Languages: Russian (21) · English (10) · German (2) · Japanese (2) · Chinese (1)

Avg boosts / post: 0.4

Top of the latest posts

  • Do lots of metadata really help in semantic search? https://old.reddit.com/r/MachineLearning/comments/1h6f39a/d_do_lots_of_metadata_really_help_in_semantic Comment: new thread on utility of metadata, BM25, LLM, search, semantics ... #metada

    Victoria Stuart 🇨🇦 🏳️‍⚧️@[email protected]♥ 1↻ 32024-12-04 16:49 UTCView post →

  • От совпадения слов к пониманию смысла запроса: как эволюционировали поисковики и AI-чаты Кто помнит поисковики начала двухтысячных, наверняка помнит, что результаты выдачи иногда имели мало общего с самим запросом. Системы слабо учитывали п

    Habr@[email protected]♥ 0↻ 02026-09-15 17:02 UTCView post →

  • Как устроен RAG для юридических документов и почему одной LLM оказалось недостаточно Первый вариант системы выглядел вполне стандартно: документы разбиваются на фрагменты, для них считаются embeddings, пользователь задаёт вопрос, несколько

    Habr@[email protected]♥ 0↻ 02026-09-15 13:32 UTCView post →

#bm25 across platforms

every network with a public tag surface

Follow #bm25 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/bm25