Hacker ApprovedDepartments

Laminar

Ranked 3 of 3 LLM observability platforms by recommenders

Traces LLM agent runs so you can see failures, with a funnel view of where they happen. Some say the write-up skips details that evaluators need.

Traces LLM agent runs so you can see failures, with a funnel view of where they happen. Some say the write-up skips details that evaluators need.

5 people gave an opinion

recommend it
5
criticize it
0
approval share
100%
Each figure is one person. RecommendsCriticizes

Recommended in 2 of 13 months

  1. November 2025: not recommended
  2. December 2025: not recommended
  3. January 2026: not recommended
  4. February 2026: not recommended
  5. March 2026: not recommended
  6. April 2026: recommended
  7. May 2026: not recommended
  8. June 2026: not recommended
  9. July 2026: not recommended
  10. August 2026: not recommended
  11. September 2026: not recommended
  12. October 2026: recommended
  13. November 2026: not recommended (month in progress)

Why it doesn’t carry the badge

  • 5 people recommend itNeeds 10 or more, not met.
  • Nobody criticizes itNeeds 2 to 1 or better, met.
  • Recommended in 2 of 13 monthsNeeds 4 or more, not met.

The same three rules apply to every product, and the badge can’t be bought. How the badge works

What people say about it

The reasons people give, with the number of comments that give each one. Open a reason to read what they said.

What people warn about

Each mark is one comment

  • Write-up omits details evaluators need

    “the post leaves out key details that matter to practitioners running evaluations”

    Comment from 26 Oct 2026 in “Launch HN: Laminar (YC S24) – RL-trained model that finds errors in agent traces”
  • Inelegant but functional implementation

    “This is definitely not elegant, but it generally works.”

    Comment from 19 Oct 2026 in “If you don't run your own LLM proxy, how do you know whats going on?”

Other LLM observability platforms people recommend

The two most recommended other LLM observability platforms, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.

Laminar compared with 2 alternatives
ProductRecommendCriticizeApprovalMonthsOwnedBadge
Langfuse291271%9—Approved
LangSmith6843%4——
LaminarThis page50100%2——
See all 3 LLM observability platforms, ranked

What people said

All 5 comments that mention it, newest first. Each links to the original comment.

“the post leaves out key details that matter to practitioners running evaluations”

MixedComment from 26 Oct 2026 in “Launch HN: Laminar (YC S24) – RL-trained model that finds errors in agent traces”

“This is definitely not elegant, but it generally works.”

MixedComment from 19 Oct 2026 in “If you don't run your own LLM proxy, how do you know whats going on?”

“I love the design of the website and the app.”

RecommendsComment from 19 Oct 2026 in “Launch HN: Laminar (YC S24) – RL-trained model that finds errors in agent traces”

“I liked the high level overview where you can view it like do a funnel analysis for failures.”

RecommendsComment from 19 Oct 2026 in “Launch HN: Laminar (YC S24) – RL-trained model that finds errors in agent traces”

“You only need one 0-dependency library for UI”

RecommendsComment from 13 Apr 2026 in “Someone Bought 30 WordPress Plugins and Planted a Backdoor in All of Them”

Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.