[OneMor]
How OneMor brought an AI audio coaching product to market in one quarter
A solo non-technical founder with a sharp content thesis and no engineering bench. Onera built the AI audio pipeline, the consumer app, and the analytics that proved it worked.
The problem
Alban came in with a strong audio-coaching thesis and a small content library, but he needed an actual product to test it with. The hard part wasn't the app. It was the AI audio generation pipeline and the cost, latency, and quality tradeoffs that come with running it at consumer scale.
He'd talked to two agencies. Both wanted twelve weeks just to scope the work. He couldn't afford to start a paid-acquisition test at month six.
What we built
- Audio pipeline: a streaming TTS pipeline tuned for cost-per-minute and audio quality. We cached aggressively where we could and spent the budget on the parts a user actually hears first.
- Consumer app: a mobile-first web app with a clean onboarding flow, paywall, and audio player.
- Analytics: cohort retention dashboards from day one, so paid-acquisition tests could be read against the same metric the product team optimized for.
Outcome
OneMor was running paid acquisition tests by week 10. The product is live, the analytics surface what's working, and Alban has a real product to take into the seed conversation.
I had a clear product thesis and no way to ship it. Onera plugged in like a fractional CTO. They made the architecture calls I couldn't have made on my own, and they shipped fast enough that I could start running paid acquisition tests inside the first quarter.
