Algomarket

Algomarket is a newly launched project with a small initial audience. Currently, it is primarily used by myself for development and testing. The platform is publicly accessible and ready for users, but has not yet been marketed to a wider audience.

Algomarket is designed for: 1. Retail prediction market traders who want to track whale movements and identify arbitrage opportunities across Polymarket and Kalshi. 2. Quantitative analysts and researchers studying prediction market behavior, institutional money flows, and cross-venue price discrepancies. 3. DeFi participants and crypto traders looking for data-driven insights into event-driven markets.

Other, Next.js 14, React, TypeScript, Tailwind CSS, better-sqlite3, Recharts, Framer Motion, Zustand, React Query, Node.js

1. Live, publicly accessible application: https://algomarket.onrender.com 2. Fully functional cross-venue prediction market analytics platform processing live data from 700,000+ markets across Polymarket and Kalshi. 3. Real-time data pipeline tracking: - 250+ whale wallets - 2,525+ active positions - 1,469+ unique contracts - 228,957+ large fills (Polymarket: 128,233, Kalshi: 100,724) 4. Key working features: - Whale holdings dashboard with market-implied odds comparison - Cross-venue arbitrage scanner with real-time profit calculations - Live trade feed across both platforms - Market screener with 4,000+ active markets - Trader leaderboard with profit rankings 5. Public GitHub repository: https://github.com/nyida/Algomarket 6. Complete, deployed, and ready for users. The project demonstrates technical execution by integrating data from multiple prediction market APIs into a unified analytics platform. While Algomarket is a new project without significant user adoption yet, it is a fully functional product built to solve real problems in prediction market analytics. The project's usefulness is demonstrated through its operational data pipeline and working features that deliver immediate value to prediction market participants.