Top AI Product

BasedHardware’s Omi started as an open-source AI audio wearable — a Mentos-sized pendant you clip on or wear as a necklace, $89. It records conversations, runs them through GPT-4o for real-time transcription, and spits out summaries, action items, and follow-ups. 300,000+ users, 7.9k GitHub stars, SOC 2 and HIPAA compliant. Standard stuff for the AI recorder category.

Then they added Screen Watcher.

Now the desktop app captures your screen every 30 seconds, feeds it to the same AI that’s already processing your conversations, and cross-references what you’re seeing with what you’re saying. The GitHub repo description says it all: “AI that sees your screen, listens to your conversations and tells you what to do.” It hit Hacker News front page on April 16 with exactly that pitch.

Hardware Specs

The pendant runs on an nRF chip with Zephyr RTOS. Multi-day battery. Microphone configurable for single-voice or room capture. No onboard processing — audio streams via Bluetooth to your phone or desktop, where the real compute happens. You can run it fully local if you don’t trust the cloud.

Why Developers Should Care

This is one of the few AI wearables where the entire stack is open. The backend is Python/FastAPI with Pinecone vector search, and there are SDKs for Python, Swift, and React Native. REST API gives you access to transcripts, memories, and conversation history. There’s an MCP server integration, plus Webhook support for piping data into external services. Developers have already built custom Omi Apps — sales coaches, translators, real-time meeting summarizers — all running as plugins on top of the hardware. If you want an ambient AI device you can actually program against, this is the open-source option.

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