Laminar – Open-Source DataDog + PostHog for LLM Apps, Built in Rust
Hey HN, we’re Robert, Din and Temirlan from Laminar (https://www.lmnr.ai), an open-source observability and analytics platform for complex LLM apps. It’s designed to be fast, reliable, and scalable. The stack is RabbitMQ for message queues, Postgres for storage, Clickhouse for analytics, Qdrant for semantic search - all powered by Rust. How is Laminar different from the swarm of other “LLM observability” platforms? On the observability part, we’re focused on handling full execution traces, not just LLM calls. We built a Rust ingestor for OpenTelemetry (Otel) spans with GenAI…
Laminar – Open-Source DataDog + PostHog for LLM Apps, Built in Rust launched on September 4, 2024 with 203 votes, #281 of 5,281 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Laminar is an open-source observability and analytics platform built for complex LLM applications. It captures full execution traces rather than just individual LLM calls, using OpenTelemetry standards with GenAI conventions. Built in Rust with RabbitMQ, Postgres, Clickhouse, and Qdrant, Laminar is designed to handle large-scale applications like multi-step agents and RAG pipelines. It serves developers building production LLM systems who need comprehensive visibility into application performance and behavior.
written from the facts on this page · September 2026
From the sources
Laminar - open-source observability platform purpose-built for AI agents. YC S24. - lmnr-ai/lmnr
In the maker’s words, at launch
Hey HN, we’re Robert, Din and Temirlan from Laminar (https://www.lmnr.ai), an open-source observability and analytics platform for complex LLM apps. It’s designed to be fast, reliable, and scalable. The stack is RabbitMQ for message queues, Postgres for storage, Clickhouse for analytics, Qdrant for semantic…
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