#langfuse

Live, measured metrics for the hashtag #langfuse 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 #langfuse

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 #langfuse — $110.68/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
2
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.1
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-09-15 15:08 UTC
0
09-09
0
09-10
0
09-11
0
09-12
2
09-13
0
09-14
0
09-15

2 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-09-15 15:08 UTC

No related tags with measured usage found for #langfuse.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-15 15:08 UTC

Everything below is measured over the latest 40 public posts (spanning ~13786 hours).

Posting hours (UTC) — busiest: 09:00

00:0012:0023:00

Languages: Russian (17) · English (10) · Japanese (10) · French (1) · Chinese (Taiwan) (1)

Avg boosts / post: 0.1

Top of the latest posts

  • Как подключить Langfuse к LLM через JWT? Langfuse, помимо трассирования запросов, удобно использовать для prompt management и LLM-as-a-judge. Но в закрытой корпоративной среде он упирается в простую вещь: LF работает со статическим API key,

    Habr@[email protected]♥ 1↻ 02026-04-20 06:02 UTCView post →

  • Planning to make large behavioural changes to a (sometimes long-running) production-grade AI agent. Working with `pydantic-evals` today because I want to eval the agent before and after. So far it looks very similar to Langfuse datasets/run

    Judith van Stegeren@[email protected]♥ 1↻ 02026-03-19 11:06 UTCView post →

  • ClickHouse Acquires Langfuse https://langfuse.com/blog/joining-clickhouse #HackerNews #ClickHouse #Langfuse #Acquisition #TechNews #DataAnalytics

    Hacker News@h4ckernews♥ 1↻ 02026-01-17 09:39 UTCView post →

#langfuse across platforms

every network with a public tag surface

Follow #langfuse 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/langfuse