TwinMind

Professionals, students and founders attend many meetings, lectures and conversations but lose track of what was said, decided or promised. People currently rely on manual notes or their own memory, and tools like ChatGPT can't help because they lack context about a person's actual conversations, emails and daily life. Users describe spending time giving chatbots context manually, drafting emails from scratch, and digging through long PDFs or unread emails for key information. One testimonial describes manually extracting data from lengthy PDFs for timesheets before using the product.

TwinMind is an app (on Apple Watch, Mac and Windows, plus a Chrome extension) that captures meetings, conversations and the user's day, transcribing and summarizing audio and organizing it into a searchable 'second brain' or personal wiki of people, places and projects. It supports over 140 languages with automatic detection and real-time translation, offers offline/on-device transcription, and claims 16+ hours of capture on a single charge. It generates daily digests, drafts emails and documents, prepares to-do lists before the day starts, and can feed this personal context into ChatGPT, Claude and Gemini so those tools can answer questions using the user's own history. Paid tiers add phone call recording, audio upload/transcription, access to newer AI models, speaker separation, and integration with other apps via MCP.