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Launch HN: Laminar (YC S24) – RL-trained model that finds errors in agent traces

This story is from 2026-10-19. It is preserved in the archive; the latest stories are on the live feed.

Hi HN, we’re Robert and Din from Laminar ( https://laminar.sh ). We’ve been building open-source observability for AI agents since 2024. Recently, we released flow-1, a model trained with RL to find errors in agent traces. On our benchmark ( https://laminar.sh/blog/flow-1 ), it matches GPT-6-sol in…

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  1. 2026-10-19 16:00 · Hacker News Front Page
    Launch HN: Laminar (YC S24) – RL-trained model that finds errors in agent traces

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