#verifier

Live, measured metrics for the hashtag #verifier 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 #verifier

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 #verifier — $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
9
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 9
0
Avg reactions / post
Mastodon · last 9
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-13 12:52 UTC
0
10-07
0
10-08
0
10-09
0
10-10
0
10-11
0
10-12
0
10-13

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 2026-10-13 12:52 UTC
#verifiers
0 uses · 0 accounts / 7d
#verifierad
0 uses · 0 accounts / 7d
#verifieradbrunchsto
0 uses · 0 accounts / 7d
#EqualsVerifier
0 uses · 0 accounts / 7d
#verifierinformerfaire
0 uses · 0 accounts / 7d
#TrustedVerifier
0 uses · 0 accounts / 7d
#vérifier
0 uses · 0 accounts / 7d
#NumberVerifier
0 uses · 0 accounts / 7d
#verifieren
0 uses · 0 accounts / 7d
#xr0verifier
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-13 12:52 UTC

Everything below is measured over the latest 9 public posts (spanning ~38899 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4) · French (3) · German (1)

Avg boosts / post: 0.6

Top of the latest posts

  • Sebastian Raschka (@rasbt) LLM의 추론을 처음 principles부터 다루는 시리즈 3편으로, 향후 모델 개선을 측정하기 위한 평가용 verifier 생성과 RLVR(Reinforcement Learning with Verifiable Rewards) 학습에 활용할 verifier 설계를 설명한다. 베이스 모델과 개선 모델을 비교하는 평가 체계, 검증 가능한 보상을 통한 강화학습의 연결을 다룬다. htt

    ainews@sayzard@mastodon.sayzard.org♥ 0↻ 02026-09-14 02:49 UTCView post →

  • The Kani #Rust #Verifier https://model-checking.github.io/kani/

    Nicolas Fränkel 🇪🇺🇺🇦🇬🇪@frankel@mastodon.top♥ 0↻ 02026-07-07 17:02 UTCView post →

  • Boxmining (@boxmining) MiniMaxAgent의 Mavis에서 ‘devil’s advocate’ 에이전트가 가장 흥미로운 부분이라고 언급했다. 단순히 작업을 생성하는 것보다, 별도 검증기(verifier)를 두어 에이전트 출력의 오류를 질문하고 반박하게 만드는 구조가 큰 차이를 만들 수 있다는 실무적 관찰이다. https://x.com/boxmining/status/2056967182312259688 #min

    ainews@sayzard@mastodon.sayzard.org♥ 0↻ 02026-05-20 15:51 UTCView post →

#verifier across platforms

every network with a public tag surface

Follow #verifier 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/verifier