Robert Kim

Laminar - Open-source all-in-one platform for engineering AI products

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Laminar is an open-source platform where you can trace your LLM app, run evaluations, label production data and use it to improve your prompts. Laminar is fast, reliable and offers best-in-class DX. It’s written in Rust and built on top of a modern tech stack.

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Robert Kim
Hey there 👋, I’m Robert, co-founder and CEO of Laminar (YC S24) -> https://www.ycombinator.com/comp... Good AI engineering is all about data and it boils down to three things – collect data, analyze data, use data. Laminar enables teams to do all of that in a single platform. > Unbelievable alpha in looking at data ©️ Hamel Husain (https://x.com/HamelHusain/status...) Collect data – Tracing - Trace every execution step of your LLM application by adding just 2 lines of code. - Laminar automatically traces common LLM SDKs (OpenAI, Anthropic …), and popular LLM frameworks (Langchain …) - We support images, and soon audio! Analyze data – Labeling - Laminar provides tools for your team to efficiently label the data and analyze human labels distribution. - Use this labeled data to better align LLM-as-a-judge with your app requirements. - Use labels as filters to separate “good” and “bad” data. Use data – Evaluations and Datasets - Run custom evaluations locally, from terminal, code, or as part of CI/CD. Visualize and compare results in Laminar UI. - Run hosted online evaluators (LLM-as-a-judge or Python scripts) as production traces come in. - Store golden datasets in Laminar and run evaluations on them. - Collect “good” examples in datasets and then retrieve most relevant ones via API to use as few-shot examples in your prompts. Laminar is fully open-source, built for scale, and production-ready. You can easily self-host it or use our managed version for production. Laminar is extremely fast, reliable, and built on top of a modern stack. Our frontend is in Next.js, backend is written in Rust🦀, trace ingestion is done over gRPC, messages are sent across services through RabbitMQ and analytics is managed by ClickHouse. Join the ranks of our contributors and star ⭐ our repo here → https://github.com/lmnr-ai/lmnr (we have lots of exciting things to do!) Get started with a managed version today → https://www.lmnr.ai (use our ProductHunt discount to get 3 months free of pro version).
Jonny Miles
unbelievably solid looking platform! congrats on the hard work paying off!
Robert Kim
@jonnymiles Thank you!
Ant Wilson
yes! brilliant product, brilliant team.
Robert Kim
@antwilson Thank you Ant, couldn't have done it without Supabase :)
Philipp
Congrats on the launch @skull8888888 We're currently evaluating a few players in this space and laminar looks perfect! Awesome work!
Robert Kim
@hadjimina Thank you! Ping me anytime, would love to help you onboard!
Aditya Lahiri
ah a data flywheel for LLMs. Sick!
Joel Kek
Looks incredible, congrats team!!!
Max
Go lmnr team 🔥🚀
Robert Kim
@mxcrbn Thank you Max!
Bon
Congrats on your launch, team Laminar! I'm fond of the name and logo, is there a story behind them?
Robert Kim
@bonvisions Thank you! Name comes from laminar flow, which is essentially stable flow as a oppose to turbulent flow. If you ever turned on the tap and water looked like it was frozen, it is a laminar flow. Logo represents exactly that! I went through many iterations with it, this is the latest, cleanest one.
Andy Li
Congrats on launching guys! The product looks very polished
Robert Kim
@andydy25 Thank you Andy 🙏, next basketball session when?
Andy Li
@skull8888888 😁anytime
Tommy He
Congrats lmnr team! I can attest to it being the only reliable and performant LLM monitoring platform I've tried. Founding team is great to talk to and super responsive.
Robert Kim
@tommy_he1 Thank you Tommy! We love working with you!
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