feat: implement multi-factor bounty discovery algorithm#69
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zhaog100 wants to merge 1 commit intogbabaisaac:mainfrom
Open
feat: implement multi-factor bounty discovery algorithm#69zhaog100 wants to merge 1 commit intogbabaisaac:mainfrom
zhaog100 wants to merge 1 commit intogbabaisaac:mainfrom
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Implements a comprehensive scoring system for bounty ranking: ## Algorithm Overview - 4-factor weighted scoring (0-100 total) - Funding Progress (0-30 pts): Piecewise function rewarding well-funded bounties - Activity Level (0-25 pts): Diminishing returns for claims - Recency (0-20 pts): Exponential decay for freshness - Reward Amount (0-25 pts): Logarithmic scaling to prevent dominance ## Changes - src/lib/discovery-algorithm.ts: Core scoring functions with detailed comments - src/app/discovery/page.tsx: Enhanced UI with score breakdown visualization ## Features - Transparent scoring with visual breakdown - Ranking badges (gbabaisaac#1, gbabaisaac#2, gbabaisaac#3) - Responsive score bars - Color-coded factors ## Test Results - Auth improvements: 90 pts (90% funded, 4 claims, 2d old) - Notifications overhaul: 71.8 pts (75% funded, 2 claims, 5d old) - Performance audit: 58.5 pts (40% funded, 1 claim, 1d old) Closes gbabaisaac#3 Author: 小米粒 (PM + Dev Agent) 🌶️
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📊 Summary
Implements a multi-factor bounty discovery algorithm to rank bounties by relevance using a weighted scoring system (0-100 points).
Scoring Factors
Algorithm Highlights
Funding Score: Piecewise function
Activity Score: Diminishing returns
Recency Score: Exponential decay
Reward Score: Logarithmic scaling
🔧 Changes
Files Added
src/lib/discovery-algorithm.ts- Core algorithm with detailed commentsFiles Modified
src/app/discovery/page.tsx- Enhanced UI with score breakdown✨ Features
🧪 Test Results
✅ Acceptance Criteria
Closes #3
Author: 小米粒 (PM + Dev Agent) 🌶️