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Market/Categories/Developer & AI Platform/Langfuse

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Langfuselangfuse.com

Open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications. [#opensource](https://github.com/langfuse/langfuse)

Developer & AI Platformlangfuse.comTracked since 2026-08-193 discovery sources
45.6KBacklinks
4.2KReferring domains
40Domain authority
+36.7%Referring domains · 90 days

Authority & distribution

How strong is Langfuse’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

45.6KCurrent snapshot

Referring domains

4.2KCurrent snapshot

Authority

40Domain authority · category median 22

90-day move

+36.7%Referring domains, last 90 days
At 40, Langfuse sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where Langfuse ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending Langfuse traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What Langfuse is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Langfuse”

Open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications. [#opensource](https://github.com/langfuse/langfuse)

Developer & AI PlatformSeen 2026-08-19 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://langfuse.com/

Observed across 3 discovery sources.

Research questions

What the evidence answers about Langfuse.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does Langfuse do and what problem does it solve?

Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications. It provides observability, evaluation, prompt management, and experiments in one integrated platform to help teams ship better quality at lower cost and latency.

What features does Langfuse offer?

Langfuse offers an integrated platform with features including Observability (hierarchical traces for LLM calls), Evaluation (LLM-as-a-judge, heuristic functions, human review), Prompt Management (one-click deployments and rollbacks), Playground, Experiments, Human Annotation, and Cost & Latency monitoring.

What is Langfuse used for and in what situations?

Langfuse is used for tracing, evaluating, and improving AI agents from prototype to production scale. It connects tracing, monitoring, datasets, experiments, and evaluation in a continuous loop, allowing teams to use production data to understand behavior and ship better agents.

Who is Langfuse for?

Langfuse is for developers and teams building LLM applications. The homepage states that 100,000+ engineers are building on Langfuse and it is used by 21 of Fortune 50, indicating it serves engineering teams at scale.

4 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full Langfuse intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which 5 of them do it, and the 24 pages they land on.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured