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ReasonLens

Understand, compare, and debug AI application traces

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ReasonLens is an open-source AI observability platform that helps developers understand how AI applications reach their answers. Visualize LLM traces, RAG retrieval evidence, claims, and execution paths. Compare runs, inspect evidence changes, evaluate quality gates, and detect potential regressions in latency, cost, and provenance. Built for developers building reliable AI applications, with self-hosting and team workspaces in mind.

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PH · launched Oct 26, 2026 · 2 upvotes (top 22%)

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Could you build this?

Partial Trace ingestion, visualization, and run comparison are vibe-codeable using OpenTelemetry-style conventions. Reliable claim extraction, evidence attribution, and quality gates, plus ingest at production scale, need deeper evaluation and infrastructure work.

What it would actually take: Build on OpenTelemetry-compatible trace ingestion into a columnar store such as ClickHouse or Postgres, with a React frontend for trace graphs and diffs. The hard parts are reliable claim and evidence linking for RAG answers and robust evaluation methods that avoid false regression alerts. Production use needs ML evaluation expertise and scalable ingestion infrastructure.

Competitors

Other products that read as similar to this one : 65 launches clear the similarity bar, closest 8 shown.

Attention rank: #17 of 66 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 357 days after the earliest competitor.

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