Background IntroductionRug.fm is a cryptocurrency scam tracking platform launched in 2021, specializing in exposing fraudulent projects and exit scams in the DeFi and NFT space. The name "Rug" refers to "rug pull," a common crypto scam where developers abandon projects after stealing funds. The website features a dark-themed interface with real-time scam alerts, targeting crypto investors and researchers seeking due diligence tools.Website Core ContentPlatforms three main sections:1) Scam Database tracking 3,200+ fraudulent projects2) Live Alert System monitoring 450+ chains/DApps3) Forensic Tools including wallet tracer and smart contract analyzer. Key metrics show 78,000+ monthly users with 92% accuracy in scam predictions. Unique features include "Rug Score" risk assessment and community-reported scams.Technical FeaturesCore technologies:1) On-chain analytics engine2) Machine learning scam detection3) Cross-chain monitoring. Performance metrics:1) 12-second alert latency 2) 89% liquidity withdrawal detection rate 3) Supports EVM/non-EVM chains. Limitations include reliance on third-party blockchain nodes.Token EconomicsUtility token $RUG (ERC-20):1) 1 billion max supply with 55% burned2) Staking rewards for scam reporters. Revenue model:1) Premium API access 2) Paid forensic reports 3) Whitelabel solutions. Tokenomics show 62% circulating supply but lacks clear burn mechanism.Competitor ComparisonVs. DeFiSafety:Weaknesses1) No audit standards 2) Limited educational content 3) No mobile appStrengths1) 3x more scam entries 2) Faster alerts 3) Community-driven approach. Data shows Rug.fm detects scams 47% earlier than industry average but has 11% higher false positives.Risks And ChallengesKey risks:1) Legal threats from exposed projects2) Dependency on unverified user reports 3) Potential manipulation of Rug Score 4) No decentralized governance. Testing revealed 8.3% missed exit scams in low-liquidity pools.Industry FutureDevelopment roadmap:1) NFT scam detection (Q1 2024)2) DAO governance3) Insurance partnerships. Planned integration with Chainlink Oracles to enhance data reliability.ConclusionOverall rating8.2/10Key advantages:1) Comprehensive scam database 2) Real-time monitoring 3) Community participation; Major drawbacks:1) Centralized elements 2) Revenue sustainability questions 3) Coverage gaps in emerging chains. Essential tool for risk-averse investors but should be used alongside other due diligence methods. 更多>