Hi HN, I’m Pranav (founder). I design hardware and kept seeing a weird split: Engineers don’t trust AI to design full PCBs (hidden assumptions, stackups, manufacturing constraints, EMI/return paths, and the cost of being even slightly wrong - why tools like Flux still aren’t widely trusted for full designs). But customers keep asking ChatGPT to “review” boards. They paste screenshots/Gerbers and expect a real sign-off. It often sounds right, but it can hallucinate or miss what actually causes respins. Lesson building this: the hard part isn’t more AI, it’s deterministic, reproducible detection with explicit assumptions, with AI only to explain findings and suggest fixes. Would love critique: what’s worth catching pre-fab, what’s too noisy, and what would make you trust this as a release gate.
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Well it sounds good, on paper. The site makes some bold claims. I'd like to see more about how you're doing the various checks. I can imagine how you'd do an impedance check using either an external tool, or an LLM directly. I'd show more examples of real-world boards and the things the AI caught. And, good luck!