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paulariquelmee

2 karma · joined October 14, 2026

Founder of OnPuck, https://www.onpuck.com. We build agents that connect customer interviews with your product data, like PostHog, Sentry, GitHub and databases, and turn them into specs your coding agent can ship.

Before that, building woku, https://woku.app, where we dogfooded the whole thing on our own customer interviews.

Interested in customer development, AI coding agents, and how early-stage teams decide what to build next.

If you run customer interviews at a startup and want to compare notes, I'd love to talk. paula [at] onpuck.com

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paulariquelmee··on Launch HN: Laminar (YC S24) – RL-trained model that finds errors in agent traces
The point about paying to store traces nobody reads hit home. We had the same problem with customer interviews. We did 8 of them and the notes just sat in a doc until we tagged each problem by how many customers it affected. Curious how you decide which flagged errors matter most. Is it how often they show up across traces, or do you weight them by user impact?