"Three former Google X scientists aim to give you a second brain virtually - not in the sci-fi or chip-in-your-head sense - but through an AI-powered app that gains context by listening to everything you say in the background. Their startup, TwinMind, has raised $5.7 million in seed funding and released an Android version, along with a new AI speech model. It also has an iPhone version."
"By turning spoken thoughts, meetings, lectures and conversations into structured memory, the app can generate AI-powered notes, to-dos, and answers. It works offline, processes audio in real-time to transcribe on-device, and can capture audio continuously for 16-17 hours without draining the device's battery, the founders say. The app can also back up user data so conversations can be recovered if the device is lost, though users can opt-out of that."
"TwinMind differentiates itself from AI meeting note-takers like Otter, Granola, and Fireflies by capturing audio passively in the background all day. To make this possible, the team built a low-level service in pure Swift that runs natively on the iPhone. In contrast, many competitors use React Native and rely on cloud-based processing, which Apple restricts from running in the background for extended periods, George said in an exclusive interview."
Three former Google X scientists co-founded TwinMind in March 2024 and developed an AI app that continuously captures ambient speech, with user permission, to build a personal knowledge graph. The app turns spoken thoughts, meetings, lectures, and conversations into structured memory to generate notes, to-dos, and answers. It processes audio on-device in real time, works offline, supports real-time translation in over 100 languages, and can capture audio for 16–17 hours with minimal battery impact. TwinMind raised $5.7 million in seed funding, released an Android version and an iPhone version, and implemented a native Swift low-level service to enable persistent background audio capture.
#ambient-audio-capture #on-device-ai #personal-knowledge-graph #mobile-privacy #real-time-transcription
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