fujiwarachoki/moneyprinterv2

Automate the process of making money online.

View on GitHub ↗Jump to charts ↓

Summary Information

Updated 17 minutes ago
Added to GitGenius on September 13th, 2026
Created on February 12th, 2024
Open Issues & Pull Requests: 93 (+0)
GitHub issues: Enabled
Number of forks: 3,441
Total Stargazers: 31,873 (+1)
Total Subscribers: 255 (+0)

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Issue API getrepoissuespagesummary failed: 429 Rate limit exceeded. Please try again later.

Detailed Description

MoneyPrinter V2 is a Python automation tool that streamlines online income generation through multiple channels.

The tool addresses the challenge of manually managing multiple income streams by automating several common online monetization strategies. It operates as a modular application that handles Twitter bot operations with scheduled tasks, YouTube Shorts video uploads with scheduling capabilities, Amazon affiliate marketing integration with Twitter posting, and local business discovery paired with automated cold outreach. The architecture emphasizes modularity to allow users to deploy individual components or combine them as needed.

Developers considering adoption should know this tool targets those seeking to automate social media presence and affiliate marketing workflows. It suits projects where users want to coordinate activity across Twitter and YouTube without manual intervention, or those looking to systematize business outreach at scale. The tool requires Python 3.12 and, for email-based business outreach functionality, the Go programming language. The project acknowledges community-developed versions in other languages exist, indicating the core concept has been adapted across different environments.

The project maintains organized documentation in a dedicated directory and provides shell scripts for direct access to core functionality without requiring user interaction. A roadmap document outlines planned features awaiting implementation. The codebase includes contribution guidelines and a code of conduct, establishing structure for community participation. The project carries an educational disclaimer regarding its use and potential misuse.