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.
Although I am not building on AI as of now, Laminar is the only viable way that I envision for myself when I will finally do! Amazing product and even more amazing team, congrats on the launch! Alga!!
I recommend Laminar for developers working with AI products and large language models. This open platform offers all the tools you need to track your LLM applications, run estimates, label production data, and optimize queries.
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.
Congrats on your launch! Looks like a great tool and I am sure that it can help many engineering teams
Congrats! I've been looking for tools to manage data labeling and evaluations. Cool product!
Huge congrats to the Laminar team on today's launch! I love how you're streamlining AI product engineering into one open-source platform. Quick question: How do you envision developers leveraging Laminar to improve their LLM app prompts - are there any specific use cases or success metrics you're excited to see emerge from the community?
The labeling feature is something I’ve been looking for in my own workflow. For larger datasets having tools to label efficiently and categorize data can save a lot of hassle.
Congrats on the launch @skull8888888 We're currently evaluating a few players in this space and laminar looks perfect! Awesome work!
Congrats on your launch, team Laminar!
I'm fond of the name and logo, is there a story behind them?
Congrats on the launch guys! I love to see the progress - it looks so easy to setup now 👀