# Neon Pulsar: Zero-G Arena > A high-octane, zero-latency 3D WebGL multiplayer disc combat sport built for the browser with WebRTC P2P networking, 3D match replays, dynamic light probes, and procedural audio synthesis. ## Team & Author Attribution - **Robotics Team**: PCSS II Robotics Team ([https://pcssiirobotics.org](https://pcssiirobotics.org)) - **Author & Lead Engineer**: Aarti S Ravikumar ([https://ai-aarti.com](https://ai-aarti.com)) - **Source Code Repository**: [https://github.com/aartisr/hackclub-neon-pulsar.git](https://github.com/aartisr/hackclub-neon-pulsar.git) ## Project Overview Neon Pulsar: Zero-G Arena is an interactive 3D WebGL multiplayer arena game where pilots operate customizable drones in zero-gravity combat. Players throw a hyper-elastic kinetic energy disc off arena boundaries into glowing goal portals to score points. ## Key Technical Features 1. **3D WebGL Engine**: Built with Three.js (r187) featuring volumetric bloom post-processing, custom emissive shaders, shadow maps, and particle explosions. 2. **Dynamic Light Probes**: 8 arena light probes modulating pulse frequency, intensity, and color in sync with procedural audio intensity and disc velocity. 3. **3D Match Replay System**: 30 FPS telemetry recorder with smooth 60 FPS linear vector lerping, timeline scrubbing, variable playback speeds (0.5x, 1.0x, 2.0x, 4.0x), and camera modes (Follow Disc, Orbit View). 4. **WebRTC P2P Networking**: Host-authoritative 60 Hz star topology powered by PeerJS for zero-latency multiplayer without dedicated server infrastructure. 5. **Procedural Audio Engine**: Web Audio API synthesizer generating dynamic harmonic drones, resonant cutoff filters, and sub-bass pulse beats. 6. **Career Ranking System**: Persistent local storage tracking goals, victories, win rates, and ranking tier emblems (Bronze, Silver, Gold, Neon Pulsar Apex). 7. **Global Leaderboard**: Public top 10 standings tab integrated into the main landing interface. 8. **Vercel & AI Discoverability**: Optimized for SEO, GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), AIO (AI Optimization), and AXO (AI Experience Optimization). ## Links & Contacts - PCSS II Robotics Team: [https://pcssiirobotics.org](https://pcssiirobotics.org) - Aarti S Ravikumar Portfolio: [https://ai-aarti.com](https://ai-aarti.com) - Full Technical Documentation: [llms-full.txt](/llms-full.txt)