#LiquidAI

Live, measured metrics for the hashtag #LiquidAI 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 #liquidai

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.

$110.68/ year · 8-character #name
Claim #liquidai — $110.68/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
34
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 34
0
Avg reactions / post
Mastodon · last 34
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-11-04 03:25 UTC
0
10-29
0
10-30
0
10-31
0
11-01
0
11-02
0
11-03
0
11-04

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.online (Mastodon public search API) · fetched 2026-11-04 03:25 UTC
#liquidairbattery
0 uses · 0 accounts / 7d
#liquidairenergystorage
0 uses · 0 accounts / 7d
#liquidair
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-04 03:25 UTC

Everything below is measured over the latest 34 public posts (spanning ~25345 hours).

Posting hours (UTC) — busiest: 13:00

00:0012:0023:00

Languages: English (24) · Japanese (4) · Italian (2) · Russian (1) · Chinese (Taiwan) (1) · German (1)

Avg boosts / post: 0.3

Top of the latest posts

  • The release of China’s Frontier AI model, Kimi K3, as an open-source model is the next ‘Sputnik moment’ for the US and the West. Moonshots, arguably the most important podcast for AI enthusiasts, coined this comparison with Sputnik 1 when D

    Reverend Elvis@[email protected]♥ 1↻ 42026-07-20 13:39 UTCView post →

  • 0xMarioNawfal (@RoundtableSpace) Liquid AI가 텍스트·오디오·비전·옴니모달을 다루는 소형 모델 6종으로 구성된 LFM3를 공개했다. 트윗은 LFM3-VL-2B가 1.9B 파라미터로 Gemma 4 12B에 필적하고, LFM3-1.7B가 온디바이스 성능 대비 효율에서 선두라고 주장한다. https://x.com/RoundtableSpace/status/2115417043415781385 #liqui

    ainews@[email protected]♥ 0↻ 02026-10-28 13:54 UTCView post →

  • The Edge-First Shift: Analyzing Liquid AI's LFM3 Tri-Hybrid Architecture An expert analysis of Liquid AI's LFM3 model family, featuring its novel tri-hybrid architecture, 2B parameter efficiency, and implications for local agentic AI #Liqui

    calmvibeznewz@[email protected]♥ 0↻ 02026-10-28 12:55 UTCView post →

#liquidai across platforms

every network with a public tag surface

Follow #liquidai 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/liquidai