Real-Time Prediction Markets UI
Budget: $55 – $65 USD
I am building a real-time prediction-markets platform and need an experienced UI developer who is comfortable designing around a WebSocket-first architecture. The work starts with the foundation—authentication, database design, and a clean data pipeline that pulls live odds from Polymarket, Kalshi, and PredictIt via their public APIs.
Once the back-end hooks are in place, the focus shifts to the core interface. I want a responsive dashboard that streams prices without page refreshes, surfaces immediate arbitrage opportunities (I’m primarily interested in price differences), and highlights unusually large trades. A lightweight whale tracker that flags outsized orders in near real-time will help users react quickly.
Social engagement is equally important. The UI must let users post their own predictions, climb a public leaderboard, and follow other traders to watch their activity and returns over time. These pieces should feel native to the overall flow, not bolted on later.
After the main modules are functional we’ll round things out with user-configurable alerts, a final UI polish pass, QA, and basic launch prep. I have a 7–8 week timeline in mind, so an iterative delivery plan that shows progress every week will be essential.
If you have shipped interfaces that stream live data, leveraged WebSockets heavily, or integrated similar betting/market APIs, please share links or repos. A brief note on your role in those projects will help me gauge fit. I value clean, modern design, efficient state management, and thoughtful component architecture—show me you do too and we’re off to a great start.
Once the back-end hooks are in place, the focus shifts to the core interface. I want a responsive dashboard that streams prices without page refreshes, surfaces immediate arbitrage opportunities (I’m primarily interested in price differences), and highlights unusually large trades. A lightweight whale tracker that flags outsized orders in near real-time will help users react quickly.
Social engagement is equally important. The UI must let users post their own predictions, climb a public leaderboard, and follow other traders to watch their activity and returns over time. These pieces should feel native to the overall flow, not bolted on later.
After the main modules are functional we’ll round things out with user-configurable alerts, a final UI polish pass, QA, and basic launch prep. I have a 7–8 week timeline in mind, so an iterative delivery plan that shows progress every week will be essential.
If you have shipped interfaces that stream live data, leveraged WebSockets heavily, or integrated similar betting/market APIs, please share links or repos. A brief note on your role in those projects will help me gauge fit. I value clean, modern design, efficient state management, and thoughtful component architecture—show me you do too and we’re off to a great start.