# How to Vibe Code Your Own Krisp (and Stop Paying for It)

> AI Voice AI and meeting assistant platform with noise cancellation and transcription

- Site: https://krisp.ai
- Category: Voice AI & Productivity
- Verdict: **Don't bother** (18/100 vibecodeable)
- Estimated effort: 6+ months of full-time systems and ML engineering work

## Verdict

Keep paying for Krisp; building a personal clone is virtually impossible because of the proprietary low-level audio driver extensions and custom real-time ML noise suppression models required.

Krisp's core value relies on kernel-level virtual audio drivers on macOS and Windows combined with hyper-optimized local ML models running under strict sub-20ms latency budgets. An AI coding agent can easily scaffold a Next.js dashboard that consumes OpenAI Whisper and GPT for post-meeting notes, but it cannot replicate the proprietary low-level audio intercept engine or real-time neural noise cancellation that makes Krisp unique.

### What you can't replicate

- Proprietary on-device real-time neural noise cancellation and voice isolation models
- Low-level virtual audio device drivers (CoreAudio/WASAPI extensions) for zero-latency system capture
- Real-time neural voice accent conversion models

## What it does

Krisp operates as a voice AI platform delivering on-device noise cancellation, meeting transcription, AI note-taking, accent conversion, and voice AI SDKs for developers.

### Core features

- Virtual microphone audio driver integration for conferencing apps
- Real-time bidirectional noise cancellation and voice isolation
- Bot-free meeting recording and live transcription
- AI meeting summaries and action item generation
- Real-time speaker and listener accent conversion
- Custom vocabulary management and multi-lingual transcripts
- Post-meeting CRM sync and workspace collaboration

## The business

### Pricing

- Free Trial: $0 — 7-day trial with unlimited transcription and noise cancellation.
- Core: $16 /mo/user — Best for individuals and small teams.
- Advanced: $30 /mo/user — For advanced features and controls.
- Enterprise: Custom — Best for org-wide rollout & security.

### Funding

$15.5M raised.
- Seed Round
- Series A ($5M)
Investors: Storm Ventures, Sierra Ventures, TechNexus, Hive Ventures, RTP Global

Founded 2017.
Team size: 200-370.

## The hard parts

- Low-level kernel virtual audio device drivers (WASAPI/CoreAudio) required to intercept live conferencing audio with sub-20ms latency
- Client-side native/WASM execution of heavy audio machine learning models for real-time noise cancellation
- Real-time bi-directional voice accent conversion models without perceptible lag
- Bot-free calendar hooks and direct audio stream capture across arbitrary third-party apps like Zoom and Teams

## How to vibe code Krisp

### Prerequisites

- Node.js LTS (free): Required for running the web dashboard and API backend.
- GitHub (free): Source code repository and CI/CD deployment pipeline.

### Recommended AI tools

- Claude Code: Best-in-class agentic coding tool for scaffolding the web companion dashboard and integration pipeline.
- Cursor: Provides an AI-native editor interface for refining the UI components and API handlers.

### Stack

- Frontend: Next.js
- Backend: Next.js API Routes
- Database: Neon
- Auth: better-auth
- Payments: Stripe
- Other: OpenAI API, Resend, Vercel AI SDK

### Hosting

- Vercel (Hosting the Next.js web application and API endpoints): $0-20/mo
- Neon (Serverless Postgres database for storing meeting transcripts and notes): $0/mo

### Build guide

1. **Project Scaffolding & Database Schema** — Initialize the Next.js project with Tailwind CSS, configure Neon Postgres with Drizzle ORM, and set up better-auth for user management.

```
Scaffold a new Next.js project using TypeScript, Tailwind CSS, and App Router. Set up Drizzle ORM configured for Neon Postgres with tables for users, meetings, transcripts, and action_items. Implement better-auth with email/password authentication and secure session handling. Create a clean dashboard layout with a sidebar navigation, dark mode support, and a responsive design matching modern productivity SaaS applications.
```

2. **Audio Upload & Transcription Pipeline** — Build an audio file upload interface and integrate OpenAI Whisper API for processing recorded meeting audio into structured text.

```
Build an audio upload page and API endpoint in Next.js that accepts recorded meeting files (MP3, WAV, M4A). Integrate the OpenAI Whisper API to transcribe the uploaded audio files with timestamps and diarization metadata. Store the resulting raw transcript in the Neon database linked to the user's meeting record. Handle file size limits, validation errors, and asynchronous background processing states.
```

3. **AI Summarization & Action Items** — Implement Vercel AI SDK with Claude/OpenAI models to generate structured meeting notes, summaries, and extract actionable tasks.

```
Implement an AI processing service using the Vercel AI SDK. When a meeting transcript is saved, automatically stream structured JSON containing a meeting summary, key discussion points, and a list of action items with assignees. Display these results in a clean, editable meeting detail view in the web dashboard. Add functionality to export or copy notes in Markdown format.
```

4. **Calendar Integration & Meeting Hub** — Add Google Calendar OAuth integration to list upcoming meetings and organize transcripts by calendar events.

```
Integrate Google Calendar OAuth authentication to allow users to connect their calendar. Build a meetings dashboard view that lists upcoming and past calendar events. Associate uploaded recordings and generated transcripts directly with their respective calendar event IDs. Implement robust error handling for token expiration and calendar permission scopes.
```

5. **Dashboard Polish & Analytics** — Build search functionality, custom vocabulary tags, and workspace analytics for meeting history.

```
Build a comprehensive search and filtering interface for past meeting transcripts and action items. Add workspace settings for custom vocabulary terms to improve transcription accuracy. Implement basic usage analytics showing total meeting hours recorded and action items completed using PostHog or custom dashboard charts. Ensure all UI components adhere to accessibility standards and load efficiently.
```

### Cost vs paying

**Starting costs (one-time):**

- Domain name: $12/yr
- Total: ~$12 one-time

**Ongoing costs (monthly):**

- OpenAI Whisper & LLM API usage: ~$5-15/mo
- Vercel Hosting: $0-20/mo
- Total: ~$5-35/mo

- Paying for the SaaS instead: $16/mo
- Build time: 35-50 hours
- AI tool credits: $20/mo
- Break-even: Never (clone lacks core real-time noise cancellation and driver isolation)

## Sources

- [Krisp Official Website](https://krisp.ai)
- [Wikipedia - Krisp Company Profile](https://en.wikipedia.org/wiki/Krisp)
- [PitchBook - Krisp Profile & Financials](https://pitchbook.com)
- [Tracxn - Krisp Technologies Funding & Competitors](https://tracxn.com)