I pivoted winq from face gestures to attention-aware AI. Here’s why.
Most AI tools on the Mac work the same way: you open them, paste in context, and explain what you were doing. That’s fine until you notice how much of your day is spent re-explaining your own day.
I’ve been working on the opposite approach with Winq. It knows where your attention is: which screen you’re looking at, what you read, and when you walked away. With that, it can help without being asked:
You step out of a call for 7 minutes, and when you look back, a summary of what you missed is already there.
You leave your desk, your Mac locks and your music pauses. When you’re back, a card shows where you left off.
You vaguely remember an article from Tuesday. You describe it, and Winq takes you back to the exact spot.
The tricky part is trust. Something that notices you is only useful if it never feels like it’s watching you. Winq keeps the camera on your Mac, never saves frames, and only reaches cloud AI when you ask it something.
I’m curious where you’d draw the line:
What would you happily let your computer notice on its own?
What would feel like too much, even if it all stayed local?
What do you lose the most time re-finding or catching up on?
Replies
I'd allow presence detection, but want private browser windows excluded before their contents enter the history. Even a local recap could expose a sensitive page during screen sharing.
@al_kub we have it already stay tuned for the lunch you can put apps or even domains in a private mode.
also all the memory are in your machine, only reaches AI as embedding and comes back as embedding so it give you the ability of meaning search without compromise security or privacy
desk empty is fine. the exact page i had open is too much, even if it stays on the mac.