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I’ve spent the last seven months building a tool I wish I’d had in my previous roles. MimicScribe is a macOS menu bar app that fits the "AI notetaker" category. It has accurate on-device speaker identification (a first possibly?), real-time meeting talking points for discovery calls, and a fully keyboard- and voice-driven interface. I believe the accuracy of the speaker ID system is its biggest strength. I used fluid audio’s port of ( https://github.com/fluidInference/FluidAudio ) Pyannote's com

https://gds.blog.gov.uk/2026/06/02/building-for-the-future-m... https://www.adyen.com/press-and-media/adyen-payments-gov-uk

Hey HN, Guanming and Bill here from General Instinct ( https://general-instinct.com/ ). After years of working in robotics, we kept running into the same problem: the best models never fit the hardware we actually had available. The models that performed best were usually designed around datacenter assumptions: large GPUs, lots of memory bandwidth, and reliable network access. But most physical systems have the opposite constraints. That led us down the path of figuring out how much of a frontie