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

> One platform to connect with video, chat, phone, and AI

- Site: https://zoom.us
- Category: Video Conferencing & Collaboration
- Verdict: **Serious undertaking** (38/100 vibecodeable)
- Estimated effort: 6-8 weeks of part-time work

## Verdict

Build a simplified 1:1 video call subset using managed APIs, or keep paying for the real platform.

Replicating Zoom end-to-end is impossible for a solo developer due to the massive media infrastructure required to run a global Selective Forwarding Unit (SFU) network. However, you can build a personal 1:1 or small group web clone by leveraging managed WebRTC infrastructure like LiveKit, coupled with Deepgram for live transcription and OpenAI for meeting summaries. The hardest part will not be the React UI, but debugging WebRTC NAT traversal, audio echo cancellation, and network jitter under real-world conditions.

### What you can't replicate

- Global carrier-grade SFU media routing infrastructure
- Native hardware integrations for enterprise Zoom Rooms
- Massive multi-party stability across inconsistent mobile and desktop networks

## What it does

An all-in-one unified communications and AI-first collaboration platform providing cloud video conferencing, team chat, cloud PBX, calendar, and AI-powered meeting notes.

### Core features

- Real-time video and audio streaming via WebRTC/SFU
- Multi-user video grid layout with active speaker switching
- In-meeting text chat and reactions
- Screen sharing and co-annotation
- Real-time speech-to-text transcription
- AI meeting summaries and action items
- User authentication and personal meeting links

## The business

### Pricing

- Basic: Free — Free plan with 40-minute group meeting limits
- Pro: $16.99/mo — For individuals and small teams
- Business: $21.99/mo — For growing organizations

### Funding

$145.5M raised.
- Seed (2011)
- Series A (2012)
- Series B (2013)
- Series C (2014)
- Series D (2015)
Investors: Sequoia Capital, Horizons Ventures, Qualcomm Ventures, Dan Scheinman

Founded 2011.
Team size: ~7,412.

## The hard parts

- Selective Forwarding Unit (SFU) media routing architecture for multi-party video
- Low-latency UDP packet handling, jitter buffers, and adaptive bitrate control
- Acoustic echo cancellation and background noise suppression
- Synchronizing real-time state across multiple concurrent participants

## How to vibe code Zoom

### Prerequisites

- Node.js (free): Required for running the Next.js full-stack application environment.
- GitHub (free): Source control and automated deployment pipeline management.

### Recommended AI tools

- Claude Code: Best-in-class terminal agent for scaffolding complex WebRTC and Next.js applications.
- Cursor: Ideal AI code editor for iterative frontend UI development and real-time component debugging.

### Stack

- Frontend: Next.js
- Backend: Next.js API Routes
- Database: Turso
- Auth: better-auth
- Payments: none
- Other: LiveKit, Deepgram API, OpenAI API, Tailwind CSS, Vercel AI SDK

### Hosting

- Vercel (Hosting the Next.js web application frontend and serverless API endpoints): $0-20/mo
- Fly.io (Hosting the self-hosted LiveKit WebRTC media server cluster): $5-15/mo

### Build guide

1. **Project Scaffolding and Authentication** — Initialize the Next.js application with Tailwind CSS, configure the Turso SQLite database, and implement user authentication using better-auth.

```
Scaffold a new Next.js 16 project with TypeScript and Tailwind CSS v4. Set up better-auth with email/password authentication backed by a Turso SQLite database using the `@libsql/client` driver. Create a clean dashboard UI layout with a sidebar navigation, user profile menu, and a home screen showing scheduled or instant meeting options modeled after Zoom Workplace.
```

2. **Meeting Room Management and Scheduling** — Build database schemas and API routes for creating instant and scheduled meetings with unique meeting IDs and join links.

```
Create a database schema in Turso for meetings, including fields: `id`, `title`, `host_id`, `room_code`, `scheduled_at`, `duration_mins`, and `status`. Implement Next.js server actions and API routes to generate unique room codes (e.g., 9-digit IDs), list upcoming meetings, and provide a shareable join URL. Build a UI page for scheduling meetings and a landing page allowing participants to enter a meeting ID to join.
```

3. **LiveKit WebRTC Video Integration** — Integrate LiveKit SDK to handle real-time video, audio streaming, participant grids, and media controls.

```
Implement real-time video conferencing inside the meeting room view using LiveKit React components (`@livekit/components-react`). Create an API route that mints LiveKit access tokens for authenticated users based on room codes. Build a responsive participant grid layout that dynamically resizes video tiles, supports muting audio/video, toggling screen sharing, and handles active speaker indicators.
```

4. **In-Meeting Chat and Reactions** — Add real-time text messaging and meeting reactions using LiveKit data channels or WebSockets.

```
Add a collapsible side panel to the meeting room interface for real-time text chat using LiveKit's data channels. Support sending messages, displaying sender names and timestamps, and rendering floating emoji reactions across the video grid when users click reaction buttons.
```

5. **Real-time Transcription and AI Summaries** — Integrate Deepgram for live speech-to-text transcription and OpenAI via the Vercel AI SDK to generate post-meeting summaries.

```
Implement audio stream capture from the active WebRTC call and stream audio chunks to Deepgram's real-time STT API to generate live captions on screen. Upon meeting termination, aggregate the transcript, send it to OpenAI using the Vercel AI SDK (`streamText`), and store the generated meeting summary, key points, and action items in Turso. Build a meeting history view to inspect past transcripts and AI summaries.
```

### Cost vs paying

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

- Custom domain (optional): $12/yr
- Total: ~$12 one-time

**Ongoing costs (monthly):**

- Vercel Hosting: $0-20/mo
- Fly.io LiveKit Server: $5/mo
- Deepgram & OpenAI API usage: ~$5/mo
- Total: ~$15-30/mo

- Paying for the SaaS instead: $16.99/mo (Pro)
- Build time: 40-60 hours
- AI tool credits: $20 (Claude Pro)
- Break-even: Never (built for learning and custom control)

## Sources

- [Zoom Wikipedia Profile](https://en.wikipedia.org/wiki/Zoom_Communications)
- [Zoom Official Pricing & Plans Portal](https://zoom.us/pricing)