RankerHub
Developer Competency Scoring, Normalized GitHub Streaks & Live Global Leaderboard
The Enterprise Problem & Core Constraints
Technical recruiters and hackathon organizers struggle to accurately assess developer competency based on self-reported resumes that frequently exaggerate experience or hide unverified code contributions.
AxonFlow AI engineered RankerHub: an algorithmic developer evaluation platform that continuously monitors GitHub commit streaks, code complexity, and algorithmic coding challenge performance. RankerHub calculates a tamper-proof unified Elo score and renders live competitive global leaderboards.
Quantified Business ROI
Indexed over 100,000 active developers worldwide. Adopted by 14 top-tier tech recruiting agencies to source verified engineering candidates 3x faster than traditional LinkedIn recruiting.
Multi-Tier Production Architecture
Multi-Platform Ingestion
Queries GitHub GraphQL APIs, LeetCode, and Codeforces to compile comprehensive developer telemetry profiles.
Anti-Cheat Commit Filter
Algorithmic filter identifying artificial automated commits, repository forks, and bot commits to ensure only authentic code counts toward ranking.
Redis Sorted Sets Leaderboard
Utilizes Redis ZSET data structures to maintain real-time global and regional leaderboard positions across hundreds of thousands of users.
Developer Badge Badging
Issues cryptographic SVG achievement badges verifiable on developer portfolio websites and LinkedIn profiles.
Enterprise Technical Specifications
Live Production Application Preview
Need a Custom System Built with This Architecture?
AxonFlow AI takes enterprise software from initial architectural scoping to live production deployment with guaranteed uptime SLAs and complete code ownership.