Reliable System-Audio Capture For Real-Time Meeting Copilots
Natively, a free meeting and interview copilot, passed 1,467 GitHub stars, and its busiest issues are not about AI quality but about capturing the conversation at all: system audio is recorded only once and then stops, the app transcribes words the user never spoke, and macOS reports no speech despite microphone access. Real-time copilots live or die on hearing both sides of a call cleanly across operating systems. The wedge is a cross-platform system-audio capture and diarization SDK these copilots can embed instead of each fighting CoreAudio and WASAPI alone.
Problem Statement
A user runs a meeting copilot, and it captures the interviewer's system audio once at the start, then goes silent, or it transcribes phantom words the user never said, or on a MacBook it claims no speech is detected even with mic access granted. Every copilot team reimplements OS audio taps, virtual devices, and echo handling, ships something that breaks on the next macOS update, and watches users abandon a tool that mishears the meeting.
The Idea
A cross-platform system-audio capture and speaker-separation SDK for real-time meeting copilots that need clean dual-channel audio on macOS and Windows.
Why Now
Dozens of meeting copilots launched in 2026 on top of cheap transcription models, but Natively's most active bug threads show they all stumble on the same low-level problem: reliably tapping system output plus microphone and keeping them separate. Capture is the moat nobody wants to build, which makes it the thing worth selling.
Target User
Developers building meeting, sales-call, and interview copilots that need real-time transcription
Target Market
Real-time meeting transcription and copilot infrastructure
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