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

> AI-powered meeting assistant and video-processing platform

- Site: https://screenapp.io
- Category: SaaS
- Verdict: **Serious undertaking** (45/100 vibecodeable)
- Estimated effort: 4-6 weeks of part-time work

## Verdict

Build a personal subset web clone with basic uploads and Whisper transcription, but keep paying for the production app due to the brutal complexity of live meeting bots and cross-platform native recording.

Replicating ScreenApp's core value for personal use means building a web app where you upload video/audio files, run them through Whisper for transcription, and query them with an LLM. However, building reliable headless browser meeting bots that join Zoom, Teams, and Google Meet without crashing or triggering anti-bot firewalls is a massive engineering trap. A solo developer will spend weeks fighting WebRTC streams and headless browser instability alone.

### What you can't replicate

- The 7.9M user network effect
- Reliable enterprise-grade headless meeting bots for every major conferencing platform
- Cross-platform native OS recorders for Mac, Windows, iOS, and Android

## What it does

ScreenApp records, transcribes, summarizes, and analyzes audio and video content with AI-generated notes, chat across historical files, and meeting bots.

### Core features

- Screen and audio recording across web and desktop
- Automated meeting bots for Zoom, Teams, and Google Meet
- Speech-to-text transcription in 100+ languages
- AI summarization, chapters, and action item extraction
- Second brain chat across historical recordings via RAG
- Video compression, conversion, and clip-making tools

## The business

### Pricing

- Free: Free — Basic tier for evaluating core features.
- Growth: $19/mo — Most popular tier for individuals and power users.
- Business: $34/mo — For power users requiring unlimited volume and API access.
- Enterprise: $199/mo — For organizations requiring custom scale and compliance.

Founded 2023.
Team size: 13-17.

## The hard parts

- Headless browser orchestration and anti-bot bypass for live meeting bots
- Robust video processing, chunking, and storage pipelines at scale
- Cross-platform client footprint across web, extensions, mobile, and desktop
- Low-latency vector search and LLM context management across large video files

## How to vibe code ScreenApp

### Prerequisites

- Node.js (free): Runtime environment for TypeScript and full-stack development.
- GitHub (free): Version control and deployment pipeline integration.
- OpenAI API Key (pay-per-use (~$10/mo)): Required for Whisper transcription and GPT summarization features.

### Recommended AI tools

- Claude Code: Autonomous agentic coding tool for scaffolding and multi-file logic.
- Cursor: AI code editor for iterative UI polish and reviewing file diffs.

### Stack

- Frontend: Next.js
- Backend: Next.js API Routes
- Database: Neon
- Auth: better-auth
- Payments: none
- Other: Cloudflare R2, OpenAI API (Whisper), Vercel AI SDK, Tailwind CSS

### Hosting

- Vercel (Hosting the Next.js frontend and serverless API functions.): $0/mo (Hobby)
- Cloudflare R2 (Storing recorded audio and video files with zero egress fees.): $0-5/mo

### Build guide

1. **Project Scaffolding & Database Setup** — Initialize the Next.js project with Tailwind CSS, configure Neon Postgres for metadata storage, and set up better-auth for personal access.

```
Scaffold a new Next.js project using Next.js, Tailwind CSS, and TypeScript. Set up a Neon Postgres connection using Drizzle ORM with tables for 'users', 'recordings' (id, user_id, title, duration, file_url, transcript_text, summary, created_at), and 'chats'. Integrate better-auth for secure email/password authentication. Ensure proper environment variable configuration and modular folder structures.
```

2. **Media Upload & Storage Pipeline** — Implement browser-based media recording or file upload, piping files directly to Cloudflare R2 object storage.

```
Build a dashboard page in Next.js featuring a file upload dropzone and a browser MediaRecorder component to capture microphone/screen audio. Implement a secure presigned URL generation endpoint that uploads media files directly to Cloudflare R2 object storage. Save the file metadata (filename, storage key, file size) into the Neon database upon successful upload.
```

3. **Transcription Pipeline with OpenAI Whisper** — Create a background processing step that takes uploaded media, sends it to the OpenAI Whisper API, and saves the resulting timestamped transcript.

```
Create a server action or API route that triggers when a recording is successfully uploaded. Fetch the media file from Cloudflare R2, send it to the OpenAI Whisper API for speech-to-text transcription, and store the resulting full transcript text in the database. Update the recording status from 'processing' to 'ready' and display the progress state in the UI.
```

4. **AI Summarization & Action Items** — Leverage the Vercel AI SDK and LLMs to parse transcripts into executive summaries, key decisions, and action items.

```
Implement an AI summarization feature using the Vercel AI SDK and Anthropic or OpenAI models. When a user views a completed transcript, provide a 'Generate Summary' button that analyzes the transcript text and outputs structured JSON containing an executive summary, key decisions, chapters with timestamps, and action items. Save these insights to the database and render them neatly in the UI.
```

5. **Second Brain RAG Chat Interface** — Build a conversational interface allowing users to query across their historical transcripts using vector embeddings or full-text context.

```
Build a chat interface panel component ('Ask AI') using the Vercel AI SDK useChat hook. Implement a retrieval-augmented generation (RAG) backend query that searches the user's transcript database using pgvector or full-text matching to inject relevant recording context into the prompt, allowing users to ask natural language questions across all their recorded meetings.
```

6. **Dashboard Polish & Export Tools** — Add search functionality, filtering across transcripts, and a clean PDF/text export feature for meeting notes.

```
Design a comprehensive user dashboard featuring search across all transcripts, tag filters, sorting by date, and a detail view with video playback synchronized to transcript text highlights. Add an export button that generates a clean markdown or PDF document containing the summary, action items, and full transcript.
```

### Cost vs paying

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

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

**Ongoing costs (monthly):**

- Cloudflare R2 Storage & Vercel: $0-5/mo
- OpenAI Whisper & LLM API Usage: ~$10/mo
- Total: ~$15/mo

- Paying for the SaaS instead: $19/mo
- Build time: 35-50 hours
- AI tool credits: $20/mo (Claude Pro / Cursor)
- Break-even: Personal learning project (not built for financial ROI)

## Sources

- [ScreenApp Official Website](https://screenapp.io)
- [ScreenApp Pricing](https://screenapp.io/pricing)