Summary This project provides a framework and tools for discovering reliable part-time jobs and side hustles in the AI era, emphasizing scam prevention. It infers demand signals from neutral industry data, applies real-time verification, and personalizes opportunities based on user profiles, offering a trustworthy alternative to conventional job hunting and "get rich quick" schemes. The core benefit is a significantly reduced risk of encountering fraudulent opportunities.

How It Works The system employs "demand signal inference," analyzing industry reports, recruitment, and procurement data instead of typical "get rich quick" content. Opportunities are cross-validated. Strict "real-time retrieval + timeliness verification" invalidates data older than 24 months. A robust "anti-scam rubric" filters high-risk opportunities. Personalization tailors matches to user profiles (skills, time, funds), with paths for low-cost initial verification. A calibration loop (money-plan -> money-retro) refines recommendations based on user feedback.

Quick Start & Requirements

• Primary install / run command: Run ./install.sh (Claude Code) or ./install-codex.sh (Codex).
• Non-default prerequisites and dependencies: Claude Code or Codex environment. A shared Chrome profile is used by data adapters. Adapters for Xianyu and BOSS Zhipin require user login/search interaction for semi-automatic data retrieval.
• Links: No direct links to official quick-start, docs, or demo pages are provided in the README.

Highlighted Details

• Demand Signal Inference: Uses neutral data (recruitment, transaction) to deduce market needs, cross-validated.
• Real-time & Timeliness: Invalidates data older than 24 months for relevance.
• Anti-Scam Rubric: Strict criteria filter fraudulent opportunities.
• Personalized Calibration Loop: Feedback mechanism refines matching.
• Semi-Automatic Adapters: Specialized adapters for Xianyu/BOSS Zhipin provide direct market signals.

Maintenance & Community The provided README does not contain information regarding maintainers, community channels (e.g., Discord, Slack), or a public roadmap.

Licensing & Compatibility No license information is specified in the README, precluding assessment of commercial use or closed-source linking compatibility.

Limitations & Caveats This tool functions as a judgment framework and retrieval assistant, explicitly not constituting investment or employment advice; users assume all decision-making risks. It strongly warns against common scam indicators like upfront payments, "刷单" (task manipulation), account lending, or fund transfers, classifying them as fraudulent or illegal and advising immediate avoidance. Data adapters are semi-automatic and rely on user interaction for data retrieval.