TwinMind

TwinMind takes an unconventional approach to meeting intelligence by framing itself as a “second brain” for your conversations. Rather than simply recording and summarizing meetings, TwinMind builds a knowledge graph from your conversations, connecting topics, people, decisions, and ideas across multiple interactions. The vision is compelling: over time, TwinMind learns the context of your professional life and can surface relevant connections that you might not remember.

The app works on Mac and iOS, capturing audio at the system level without a bot, an approach it shares with Hedy and Granola. The on-device processing option means audio can be handled locally, though some AI features require cloud connectivity. The knowledge graph feature distinguishes TwinMind from most competitors. Rather than treating each meeting as an isolated event, TwinMind maps relationships between concepts, creating a growing web of connected intelligence.

TwinMind is still a young product, and this shows in both positive and negative ways. The knowledge graph concept is genuinely innovative and hints at the future of meeting intelligence. But the execution is still maturing: the transcription quality is not yet on par with leaders, the interface can feel complex, and the limited platform support (Apple only) restricts its addressable audience. For early adopters who are excited by the vision, TwinMind is worth watching. For users who need a reliable, polished meeting assistant today, the product is not quite there yet.

Key Features

TwinMind’s knowledge graph automatically maps relationships between topics, people, and decisions across your meetings. The system builds a growing network of connected intelligence over time. On-device audio capture works without a meeting bot. The AI can answer questions about your meeting history using the knowledge graph context. Meeting summaries include connected references to related past conversations. The Mac and iOS apps share data through Apple’s ecosystem. The interface visualizes knowledge connections to help you see patterns across meetings.

Pricing

TwinMind offers a free tier with limited meetings and basic features. The Pro plan at $12 per month unlocks unlimited meetings, full knowledge graph features, and advanced AI capabilities. There is no enterprise plan currently, which limits adoption for organizations that need admin controls and compliance features. The pricing is reasonable for the technology, though the early-stage nature of the product means you are paying for potential as much as current capability.

Privacy & Security

TwinMind’s on-device audio capture is a positive privacy feature: audio is processed locally rather than being streamed to external servers. That said, the knowledge graph and some AI features do involve cloud processing, placing TwinMind in a hybrid model. The Apple-only approach means data stays within Apple’s security ecosystem, which adds a layer of trust for users already committed to that platform. For a small, newer company, the privacy architecture is thoughtful, though the long-term data handling practices are less established than larger competitors.

Best For

TwinMind is best for Apple users who are intrigued by the concept of a knowledge graph built from their conversations. Early adopters, researchers, and professionals who attend many meetings with interconnected topics will find the knowledge graph concept most valuable. It is not yet suited for users who need polished, reliable transcription, teams on Windows or Android, or organizations requiring enterprise-grade features and support.

How TwinMind Compares to Hedy

TwinMind and Hedy share some philosophical DNA: both emphasize on-device processing and bot-free recording. TwinMind’s knowledge graph concept is innovative and represents a genuinely different approach to organizing meeting intelligence. Still, the practical comparison favors Hedy on nearly every dimension. Hedy runs on Mac, Windows, iOS, Android, and web; TwinMind is Apple-only. Hedy’s transcription quality is significantly more mature and accurate. Hedy works fully offline; TwinMind’s offline capability is partial. Hedy provides real-time coaching during meetings; TwinMind’s intelligence is retrospective. Hedy’s knowledge connection features, while different in implementation from TwinMind’s graph, deliver cross-meeting intelligence on a more mature and reliable foundation. Hedy also has an established integration ecosystem and enterprise features that TwinMind lacks. TwinMind’s vision is compelling, but Hedy delivers on that vision today with broader reach and greater reliability.