#faiss

Live, measured metrics for the hashtag #faiss 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 #faiss

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.

$1,129.43/ year · 5-character #name
Claim #faiss — $1,129.43/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
24
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 24
0
Avg reactions / post
Mastodon · last 24

Day-by-day usage

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

0 uses by 0 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 22:27 UTC
#faissalboulakjar
0 uses · 0 accounts / 7d
#faissaltaghi
0 uses · 0 accounts / 7d
#faissalkhanmentalcondition
0 uses · 0 accounts / 7d
#faissalkhaninterview
0 uses · 0 accounts / 7d
#faissalkhannews
0 uses · 0 accounts / 7d
#faissal
0 uses · 0 accounts / 7d
#faissalkhan
0 uses · 0 accounts / 7d
#faissalkhancontroversy
0 uses · 0 accounts / 7d
#faissalkhanfamily
0 uses · 0 accounts / 7d
#faissalkhanmysterywoman
0 uses · 0 accounts / 7d
#faissalkhanmonthlyallowance
0 uses · 0 accounts / 7d
#faissalkhanrelationshipwithaamir
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 22:27 UTC

Everything below is measured over the latest 24 public posts (spanning ~29473 hours).

Posting hours (UTC) — busiest: 12:00

00:0012:0023:00

Languages: Russian (12) · English (10) · Chinese (1)

Avg boosts / post: 0.5

Top of the latest posts

  • RAG не только для вопросов и ответов: почему он естественно подходит для рекомендаций Retrieval-Augmented Generation (RAG) чаще всего рассматривается в контексте вопросно-ответных систем и чат-ботов поверх базы знаний. Большинство публикаци

    Habr@[email protected]♥ 0↻ 02026-06-21 23:12 UTCView post →

  • Avi Chawla (@_avichawla) 연구팀이 KMeans를 200배 빠르게 만든 Flash-KMeans를 공개했습니다. 정확한 KMeans를 유지하면서 IO-aware 방식으로 재설계해, GPU의 메모리 병목을 직접 줄이고 cuML·FAISS 같은 기존 접근보다도 성능을 앞선다고 합니다. 대규모 클러스터링/검색 파이프라인에 실무적 의미가 큽니다. https://x.com/_avichawla/status/20668035

    ainews@[email protected]♥ 0↻ 02026-06-16 09:49 UTCView post →

  • Как я отучил оракула молоть околесицу про ГОСТы: сказ о doc-rag без единого (почти) заморского слова Дело моё — программы писать, а сходиться им положено с мастеровой грамотой: ГОСТами, СТО, спецификациями. Хочу спросить оракула в писарне п

    Habr@[email protected]♥ 0↻ 02026-06-03 18:02 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/faiss