Edge Knowledge

Chinese Documentation | English Documentation

AI-powered edge knowledge mining system. Intelligently recommends high-value forums (Reddit, BlackHatWorld, GreyHatMafia, etc.) based on user needs, performs deep crawling with browser-use, visual recognition, and analyzes edge tactics, power users, and resources, outputting a single structured Markdown report.

🎯 Core Philosophy

💡 Knowledge Equity Initiative This project encourages community contributions! You can create branches on Git to build domain-specific search expert skills (e.g., SEO Expert, Affiliate Hunter, Tool Digger), making edge knowledge accessible to more people.

🤝 How to Contribute PRs:

• 🌿 Build Domain-Specific Branches - Create specialized versions for specific domains (e.g., seo-expert, affiliate)
• 🔧 Optimize Existing Skill - Improve tool versatility and robustness (anti-scraping strategies, error handling, performance optimization)
• 📚 Share Quality Forums - Add deep-dive forums you use to forum_database.json with search strategies
• 🤖 Add Automation Capabilities - Integrate scheduled tasks, push to Notion/Feishu/Slack and other collaboration tools

Let's break information barriers and promote knowledge equity together! 🚀

What is Edge Knowledge?

In the AI era, information that LLMs can easily understand or collect from the internet is considered common knowledge. Edge knowledge refers to scarce, industry know-how, and gray/black hat techniques that reach the boundaries of platform rules.

Edge Knowledge Includes:

• ✅ Black/White/Gray Hat SEO: PBN, Parasite SEO, Cloaking, Link Farms
• ✅ Tactical Tricks: Banned, risky, but effective methods
• ✅ Underground Tools: GSA SER, SEnuke, Xrumer, Scrapebox
• ✅ Real Data: Success rates, prices, risks, case numbers
• ✅ Controversial Tactics: High-voted replies, controversial discussions, practical sharing

Does NOT Include:

• ❌ White Hat Platitudes ("write good content and traffic will come")
• ❌ Official Documentation (Google SEO Guidelines)
• ❌ Mainstream Advice ("improve user experience")

Three Characteristics of Edge Knowledge

1. Freshness - Recent information (post-2025)
2. Scarcity - Exclusive information (known in small circles)
3. Credibility - Trustworthy information (with data and cases)

✨ Core Capabilities

V1: Foundation

• 🎯 Intent Extraction & Query Generalization - Generalizes query directions and recommends high-quality forums
• 🧠 User Preference Memory - Remembers favorite forums and search habits
• 🔐 Credential Management - Automatically manages forum credentials, supports session reuse
• 🛡️ Anti-Detection System - Fixed fingerprints, random delays, session management to reduce account risk
• 🌐 Smart Browser Crawling - Uses browser-use skill, supports screenshots + visual recognition
• 🔍 Deep Content Analysis - Edge knowledge identification, power user identification, resource extraction
• 📊 Single Report Output - Named by date + topic, structured display

🆕 V2: Hunter Mode (NEW!)

V2 adds aggressive resource acquisition capabilities: