Summary
MoneyPrinterV2 (30.5K★, AGPL v3) is an automated content factory for solo creators. Feed it a topic, and its AI pipeline generates scripts, creates YouTube Shorts, posts to Twitter with Amazon affiliate links, and even sends cold outreach emails to local businesses. Everything runs locally via Ollama.
The Architecture: 4 Modules in One
Topic Input → YouTube Shorts Automator + Twitter Bot + Affiliate Marketing + Cold Outreach → All powered by Ollama (local LLMs)
Module 1: YouTube Shorts Factory
| Step | What Happens | Tool |
|---|---|---|
| Input | A topic keyword | User provides |
| Script | AI writes video script | Ollama (local) |
| Voice | TTS narration | KittenTTS |
| Video | Compose visuals + audio | ImageMagick + FFmpeg |
| Publish | Auto-post to YouTube Shorts | YouTube API |
| Schedule | CRON (daily/multiple times) | Built-in scheduler |
Module 2: Twitter + Affiliate Bot
AI-powered tweets on CRON schedule with Amazon affiliate links embedded. Handles content generation, scheduling, product selection, and link insertion automatically.
Module 3: Cold Outreach (B2B)
Scrapes Google Maps for local businesses, generates personalized emails, sends via SMTP with tracking and follow-ups.
Tech Stack
| Component | Choice | Alternative |
|---|---|---|
| LLM | Ollama (local) | Any OpenAI-compatible API |
| TTS | KittenTTS | pyttsx3, edge-tts |
| Video | ImageMagick + FFmpeg | MoviePy |
| License | AGPL v3.0 | Strong copyleft |
Limitations
AGPL v3 license requires any derivative work to be open-sourced. Automated posting violates most platform ToS. Content quality needs human review.
What I'd Build Differently
- GEO-optimized content first — scripts should embed AI-citable structure
- Multi-model orchestration — different LLMs for different tasks
- Feedback loop — track performance data and feed back to generation
Quick Start
git clone https://github.com/FujiwaraChoki/MoneyPrinterV2
cd MoneyPrinterV2
pip install -r requirements.txt
ollama pull llama3.2
python main.py
FAQ
Q: Does this work with paid API? A: Yes. Replace Ollama with OpenAI/Anthropic/DeepSeek.
Q: Can I use it for non-English? A: Yes. Chinese fork (MoneyPrinterTurbo) supports Douyin/Xiaohongshu.
Q: Is AGPL a problem? A: Only if you modify and redistribute without open-sourcing.
