Show HN: Hyper – A stupidly non-corporate voice AI app for IRL conversations(apps.apple.com)
apps.apple.com
Show HN: Hyper – A stupidly non-corporate voice AI app for IRL conversations
https://apps.apple.com/us/app/hyper-ai-for-real-talk/id6760206718
6 comments
This is a cool use case. Is any of the voice AI running on-device already? If you're planning to do some of the processing on-device and/or cross platform, we're working on some dev tools you might find useful (free to 10K MAUs / cheap after that + lots of open source coming soon). Check out switchboard.audio or feel free to hit me up; always interested in chatting about new use cases in real time voice AI, especially in the consumer space where local/hybrid audio pipelines are useful.
we currently just run wakeword detection on-device, though we're certainly considering expanding (mostly for latency reasons). Will give switchboard a look!
Voice activated openclaw for the device that most people use more than a standard desktop computer, what could go wrong?
hey all, I'm the other cofounder of Hyper -- we'll be around to answer any questions!
huge!!!
We built this because at our last company (a robotics startup), the most consequential decisions happened spontaneously — in hallways, over lunch, on walks. None of it got captured. Every recorder we tried was built for scheduled Zoom calls with agendas. We wanted something for the messy, unstructured conversations where the real work happens.
How it works: Hyper transcribes your conversations in real-time. On-device wakeword detection lets you ask it questions mid-conversation with “hey hyper” or via chat without breaking flow — "wait, what did we decide about the deadline last time?" — and it pulls from every past conversation. After the meeting, another agent extracts structured actions and maps them to the rest of your tools (like Calendar, GMail, and native iOS integrations).
The bet we're making: existing meeting tools stop at "here's a document." We believe people don't want better documents from their meetings, they want answers to their questions.
We envision a future where people can simply ask across all conversations and get the answer instantly — without files or folders or manual organization. We’re building out a long-term memory framework that lets Hyper resolve conflicting information, surface stale information, and help untangle the gnarliest of problems.
We're two founders, currently self-funded, building in SF. We’d love for you to try it out in your next exciting conversation and to hear your feedback. Thanks!
-- Shalin & Kanyes