#LLMobservability

Live, measured metrics for the hashtag #LLMobservability from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
6
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 6
0
Avg reactions / post
Mastodon · last 6
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-29 19:05 UTC
0
10-23
0
10-24
0
10-25
0
10-26
0
10-27
0
10-28
0
10-29

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.social (Mastodon public search API) · fetched 2026-10-29 19:05 UTC

No related tags with measured usage found for #llmobservability.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-29 19:05 UTC

Everything below is measured over the latest 6 public posts (spanning ~7469 hours).

Top of the latest posts

  • Underrated span attribute for LLM apps: the prompt version. Quality regressions rarely announce themselves with an error, so when output gets worse you want to ask which prompt revision was live for that request and diff the two. Without it

    OmbuLabs.ai@[email protected]♥ 0↻ 12026-09-24 16:14 UTCView post →
  • Using Langfuse to trace multi-step agent workflows, replace custom eval logic, and consolidate LLM observability into one tool that actually scales.#langfuse #llmobservability #aiagents #tracing #software #coding #development #engineering #

    Hack a Day (unofficial)@[email protected]♥ 0↻ 12026-08-13 22:15 UTCView post →
  • From the Leanpub Blog: Leanpub Book LAUNCH 🚀 Rethinking Performance Engineering for Agentic AI by Kandasamy Selvaraj https://leanpub.com/blog/leanpub-book-launch-rethinking-performance-engineering-for-agentic-ai-by-kandasamy-selvaraj/ #boo

    Leanpub@leanpub♥ 0↻ 02026-08-03 03:15 UTCView post →

#llmobservability across platforms

every network with a public tag surface

Follow #llmobservability 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.

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/llmobservability