EngineEar AI

Weird engine noise? AI tells you what it is.

Android

Cars

Artificial Intelligence

Hey Product Hunt, We built EngineEar AI because we were convinced that engine sounds carry more information than we give them credit for. A motor doesn't just "run" — it exhales its condition through vibration, exhaust rhythm, valve ticks, injector timing. Every one of those is a signal, and modern audio models have quietly become good enough to read them. The feature we're proudest of is wear evaluation: when the AI listens to your engine, it doesn't just look for individual defects — it compares the overall acoustic signature against what a car of your make, model, year, and mileage should sound like. If a 5-year-old car with 50,000 km already sounds like a 200,000 km workhorse, that's worth knowing. Not as a final diagnosis, but as a data point you can bring to your mechanic so you walk in informed instead of guessing. Everything else is built around that idea. Guided Mode walks you through 30 s of idle + 50 s of revs so the model gets a clean signal. Free Mode lets you record on your own terms. And the whole vehicle side stays free — multiple profiles, fuel log, maintenance schedule with reminders, cost stats, backup and restore — so the AI actually has your vehicle context to compare against. Only the analyses themselves are on subscription. One honest thing upfront: recognition quality depends on the microphone. Built-in phone mics roll off the low and high frequencies that carry the most diagnostic signal, and background noise amplifies that gap. Because of that variance across phones and environments, the AI errs on the side of flagging — sometimes calling out findings a mechanic would shrug at. In a quiet spot with a decent external mic clipped near the engine, the assessments get sharp. Straight from your phone in a windy parking lot, treat individual line items with a grain of salt and trust the overall trend. What we'd love your feedback on: – Try Guided Mode with your own car and tell us if the diagnosis + wear evaluation feel plausible for what you know is going on under the hood. – Does the "one-time service events" flag in the garage match how you actually track things like warranty extensions or seasonal tire swaps? – Anything about the result presentation that reduces your trust — missing confidence indicator, jargon, urgency scale? Thanks for looking, and for the honest takes.