#humaninloop

Live, measured metrics for the hashtag #humaninloop 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 #humaninloop

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.

$10.85/ year · 11-character #name
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card via hashtag.org · tokens via hashtag.space
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Uses / 7 days
Mastodon
—
Accounts / 7 days
Mastodon
8
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 8
0
Avg reactions / post
Mastodon · last 8
—
Reddit posts / month
Reddit search
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Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-18 15:45 UTC

No measured public usage for #humaninloop in the last 7 days. That is a real result, and a good one to know: this hashtag is wide open right now. We show a dash before we ever show a made-up number. Browse the trending index for tags with live measurements.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-10-18 15:45 UTC

No related tags with measured usage found for #humaninloop.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-18 15:45 UTC

Everything below is measured over the latest 8 public posts (spanning ~11596 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (6) · Portuguese (1) · French (1)

Avg boosts / post: 0.6

Top of the latest posts

  • cedric (@cedric_chee) AI 에이전트의 동시 실행 수나 가동률은 측정하기 쉽지만, 이를 감독·판단하는 사람이 부담하는 주의력과 의사결정 비용은 놓치기 쉽다는 지적이다. 에이전트 운영 UX와 태스크 관리의 핵심 평가지표는 단순 처리량이 아니라 인간의 주의력 단위당 실제 전달 가치가 되어야 한다는 제안이다. https://x.com/cedric_chee/status/2105737354166296859 #aiagen

    ainews@sayzard@mastodon.sayzard.org♥ 0↻ 02026-10-02 03:54 UTCView post →

  • Kasper (@kaskulikowski) WebMCP의 핵심 가치는 완전 자동화 자체보다, 사람과 AI 에이전트가 동일한 웹 인터페이스에서 함께 작업하는 협업 모델이라는 관점입니다. 에이전트 UX를 설계할 때 인간 검토·개입과 자동 실행을 분리하지 않고 같은 작업 흐름에 결합해야 한다는 시사점을 제공합니다. https://x.com/kaskulikowski/status/2097253490498097284 #webmcp #ai

    ainews@sayzard@mastodon.sayzard.org♥ 0↻ 02026-09-09 00:55 UTCView post →

  • sf-isms (@sf_isms) ‘Meat proxy’는 AI 산출물을 읽거나 검증하지 않은 채 다른 사람에게 전달하는 사람을 뜻하는 표현으로 소개됩니다. LLM을 업무 흐름에 도입할 때 인간 검토가 형식적인 전달 단계로 전락할 수 있다는 위험을 압축적으로 설명하며, AI 출력의 책임성·검증 프로세스 논의에 유용한 개념입니다. https://x.com/sf_isms/status/2091300586734207224 #llm #

    ainews@sayzard@mastodon.sayzard.org♥ 0↻ 02026-08-23 10:50 UTCView post →

#humaninloop across platforms

every network with a public tag surface

Follow #humaninloop 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/humaninloop