Remote calls have a noise problem. You're on a call from a café in Buenos Aires, or a hostel in Patagonia, or a co-working space in Vienna. Background noise kills focus, disrupts the conversation, and makes you look unprofessional. Most solutions require adding a bot to the call — awkward, requires consent, changes the dynamic.
Krisp runs in the background. No bot. No announcement. It just works.
That distinction matters more than it sounds. When you're nomadic — working from cities, from mountains, from places where professional silence isn't guaranteed — you need something that disappears into the workflow. Not something that announces its presence.
In 3.5 months of continuous use: 152 hours of meetings transcribed, 406,000 words captured, 61 days with meetings. Average of 2.5 hours of meeting time per day — all captured, all searchable, all automatically synced into my AI system within minutes of hanging up.
This is the real value proposition: not just noise cancellation, but meeting intelligence on autopilot. The call ends. The transcript is in the system. The agent knows what was discussed, what was decided, what needs to happen next. No manual notes. No copy-paste. No briefing the AI after the fact.
One honest gap: video calls are fully solved. In-person meetings are harder. Krisp has a feature for in-person capture, which I've started experimenting with — but the workflow for ambient in-person recording is still evolving. The best solution for video calls; the in-person question is still being figured out.
For anyone working remotely across different environments and time zones: Krisp for calls is non-negotiable. The 406,000 words of meeting context that would otherwise disappear into memory — that's the case for using it.