A
AutoDoc
Private AI meeting notes, recorded locally
Open source · AGPL-3.0Local-first · AI on-deviceBuilt by ex-Apple engineersScreen + audio capture syncedAES-256-GCM encryption
Opportunity score
55/100
Strong differentiation on privacy and local-first execution, but crowded market, unclear monetization, and platform risk (macOS only) cap the score.
Founder verdict
MAYBE
AutoDoc hits a genuine pain point for privacy-conscious professionals, but its market is niche and the path to scalable revenue is hazy.
What is AutoDoc?
AutoDoc is a local-first macOS desktop app that records screen video, microphone, and system audio during meetings, then transcribes and summarizes them entirely on-device using Whisper and Ollama. No recording bot joins the call, and nothing leaves the user’s computer. Built by ex-Apple engineers who previously created Duet, AutoDoc targets privacy-sensitive professionals, consultants, and anyone tired of surrendering meeting data to cloud services. Its key differentiators are full visual context via screen recording, offline capability, open-source transparency, and local AI processing. Pricing is not disclosed on the website; the product is currently available for free download on macOS, with Windows in development.
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The complete reverse-engineering — what to copy, what to avoid, and exactly what to build instead.
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