Scalable Leaderboard System
A high-performance in-memory leaderboard implementation built in Go, optimized for efficient ranking and real-time updates.
Overview
This project implements a scalable leaderboard engine in Go with a custom high-performance ranking data structure and efficient update/query patterns. Designed from the ground up for speed, the system uses optimized in-memory data structures to support fast score updates, deterministic rankings, and low latency for real-time applications. This implementation demonstrates deep understanding of performance engineering, custom algorithms, and memory-efficient systems design.
Key Highlights
Built a high-performance leaderboard engine in Go with custom data structures
Optimized in-memory ranking for efficient update and query latencies
Designed deterministic ordering with tie handling for consistent results
Implemented efficient score insertion and lookup logic
Engine is suitable as a core backend component for real-time competitive applications
Focused on performance, memory efficiency, and concurrency safety
Let's build something
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I'm available for freelance projects, contract work, and remote engineering roles.