LoroNote
An offline speech-to-text (transcription) app for iPhone and iPad that runs OpenAI's Whisper Large V3 Turbo via a custom Core ML inference engine with on-device speaker separation.
Problem it solves. Provides accurate, private transcription on-device without uploading recordings to a server.
Who pays. iPhone/iPad users who need transcription (meetings, notes) concerned about privacy/offline processing
Market. mobile app / speech-to-text / productivity
How it makes money. subscriptions and lifetime one-time purchases (in-app purchases)
Claimed. Revenue over the last 28 days: 6,800 USD MRR: 1,503 USD Active subscriptions: 301
Market hub. Voice Recognition
The founder provides specific RevenueCat figures and technical detail (custom Core ML engine, Whisper Large V3 Turbo) and multiple commenters engage with supportive, technical questions rather than calling it promotional or fake; one high-quality comment reconciles MRR and subscription counts, lending realism to the numbers.
“1,503 MRR across 301 active subscriptions works out to almost exactly 5 USD per subscriber, so basically everyone is on the cheap monthly tier and the 6.8k is coming from lifetime purchases. "Revenue is a little lower while MRR is up" reads like the lifetime buyers dried up that month.” ▲ 20