Show HN: I missed a $2M deal due to bad notes, so I built this
When I followed up with generic questions, they went with a competitor who "clearly understood their needs better."
That weekend, I was furious. I decided to build something to never let this happen again.
*Technical stack (built in 72 hours):* - Swift + AVAudioEngine for audio capture - OpenAI Whisper API for transcription (99%+ accuracy even in noisy rooms) - ChatGPT API for intelligent note structuring and action item extraction - Core Data for local storage (privacy-first approach) - Background processing to handle long meetings without draining battery
The AI workflow: 1. Records audio locally in chunks 2. Streams audio to Whisper API for transcription 3. Raw transcripts fed to ChatGPT every 30 seconds to: - Identify key decisions and action items - Tag speakers and topics - Generate concise summaries - Flag follow-up questions
Interesting technical challenges: - iOS kills background processes aggressively, solved with silent audio trick - Chunking audio without cutting words mid-sentence (used silence detection) - Handling poor audio quality in conference rooms (noise filtering + gain adjustment) - API rate limiting during long meetings (intelligent batching)
Day 1: Core recording + Whisper integration Day 2: ChatGPT processing + note structuring Day 3: UI polish + App Store submission
The irony? That same client reached out last month after seeing how prepared I am in recent meetings. We're now discussing an even bigger partnership.
Would love your technical feedback!