MeetWave is a privacy-first meeting assistant for Windows. It records system audio and microphone locally, transcribes with Whisper, and generates structured summaries, decisions and action items using Claude and GPT. No bot ever joins the call, so it works in Teams, Zoom, Google Meet and anywhere else without announcing a third-party attendee to participants. Recording is always user-initiated and the data stays under your control.
Records system audio and microphone locally, no bot joins the call
Whisper transcription with speaker separation
AI summaries with decisions and action items, role-specific for sales, HR, consulting and engineering
Calendar integration for Microsoft Teams, Google Calendar and Zoom
Slack delivery, PDF and Markdown export, shareable summary links
Multi-language support and custom instructions per summary type
Sales teams capturing discovery calls and demos without a bot warning the buyer
Recruiters running structured interview scorecards across candidates
Consultants turning client calls into billable, client-ready PDF summaries
Product and engineering teams keeping decisions and action items out of lost standups
Job seekers reviewing their own interview performance afterwards
Anyone on Windows who needs meeting notes in Teams, Zoom or Google Meet without third-party attendees

Hi Fazier. I am a solo dev and I built MeetWave because every meeting tool I tried sent a bot into the call. That is fine for internal standups and awful for sales calls, interviews and client work, where a visible third-party attendee changes how people talk. So MeetWave records the meeting on your own machine instead. It captures system audio and microphone on Windows, transcribes with Whisper, and turns the result into a summary with decisions and action items. Nobody in the call is notified of an extra participant, because there is not one. The hardest part was not the AI, it was Windows audio: capturing loopback and microphone at once, keeping them in sync, and surviving devices being unplugged mid-call. Transcription runs on GPU, so a one-hour meeting comes back in a couple of minutes. Happy to answer anything, especially about the audio capture side or running Whisper cheaply.
The no-bot-joins approach is the right call. A visible bot joining always changes how people talk, and it's a compliance headache in a lot of orgs. One question: when you capture system audio as a single stream instead of per-participant feeds, how well does speaker attribution hold up? Curious whether Whisper diarization stays reliable on noisy Zoom calls with cross-talk.
Really interesting approach to meeting notes. The fact that MeetWave keeps recording local and doesn’t require a bot to join the call makes it especially useful for client meetings, interviews, and sales calls. The combination of Whisper transcription + structured AI summaries and action items sounds genuinely practical. Great work
Really interesting approach to meeting notes. The fact that MeetWave keeps recording local and doesn’t require a bot to join the call makes it especially useful for client meetings, interviews, and sales calls. The combination of Whisper transcription + structured AI summaries and action items sounds genuinely practical. Great work

The no-bot approach is the right call for most professional environments — having an unnamed attendee join a client call or sensitive internal meeting is awkward at best. Recording locally with the audio staying on your device is a meaningful privacy advantage over cloud-based alternatives. The combination of Whisper for transcription and Claude/GPT for structured summaries is a solid stack for getting clean, actionable output from a raw recording. Would be curious how it handles meetings with multiple speakers in noisy environments.
The local-first approach is really interesting, especially since MeetWave avoids having a bot join the meeting. Using Whisper for transcription and AI-generated decisions/action items seems like a practical workflow for teams that care about privacy. I’d be interested to know how much of the processing can be done fully offline without sending meeting data to external AI APIs.
MeetWave Your product has strong potential, but I found a few key improvements that could make it even better. I'd love to share my feedback and suggestions—please contact me at [email protected]

Hi Fazier. I am a solo dev and I built MeetWave because every meeting tool I tried sent a bot into the call. That is fine for internal standups and awful for sales calls, interviews and client work, where a visible third-party attendee changes how people talk. So MeetWave records the meeting on your own machine instead. It captures system audio and microphone on Windows, transcribes with Whisper, and turns the result into a summary with decisions and action items. Nobody in the call is notified of an extra participant, because there is not one. The hardest part was not the AI, it was Windows audio: capturing loopback and microphone at once, keeping them in sync, and surviving devices being unplugged mid-call. Transcription runs on GPU, so a one-hour meeting comes back in a couple of minutes. Happy to answer anything, especially about the audio capture side or running Whisper cheaply.
The no-bot-joins approach is the right call. A visible bot joining always changes how people talk, and it's a compliance headache in a lot of orgs. One question: when you capture system audio as a single stream instead of per-participant feeds, how well does speaker attribution hold up? Curious whether Whisper diarization stays reliable on noisy Zoom calls with cross-talk.
Really interesting approach to meeting notes. The fact that MeetWave keeps recording local and doesn’t require a bot to join the call makes it especially useful for client meetings, interviews, and sales calls. The combination of Whisper transcription + structured AI summaries and action items sounds genuinely practical. Great work
Really interesting approach to meeting notes. The fact that MeetWave keeps recording local and doesn’t require a bot to join the call makes it especially useful for client meetings, interviews, and sales calls. The combination of Whisper transcription + structured AI summaries and action items sounds genuinely practical. Great work

The no-bot approach is the right call for most professional environments — having an unnamed attendee join a client call or sensitive internal meeting is awkward at best. Recording locally with the audio staying on your device is a meaningful privacy advantage over cloud-based alternatives. The combination of Whisper for transcription and Claude/GPT for structured summaries is a solid stack for getting clean, actionable output from a raw recording. Would be curious how it handles meetings with multiple speakers in noisy environments.
The local-first approach is really interesting, especially since MeetWave avoids having a bot join the meeting. Using Whisper for transcription and AI-generated decisions/action items seems like a practical workflow for teams that care about privacy. I’d be interested to know how much of the processing can be done fully offline without sending meeting data to external AI APIs.
MeetWave Your product has strong potential, but I found a few key improvements that could make it even better. I'd love to share my feedback and suggestions—please contact me at [email protected]
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