Lightning-fast prediction markets on Base blockchain with 15-minute event cycles for esports and social events.
The one-sentence pitch: "QuickBets — where your predictions meet instant gratification."
QuickBets is a rapid prediction market platform built for users who want the thrill of quick-turnaround bets on esports tournaments and social media trending events. Unlike traditional betting platforms with long resolution times, QuickBets resolves outcomes within 2 minutes and processes payouts within 5 minutes.
- Jake, 25, Esports Enthusiast: Wants deeper engagement with tournaments through rapid betting
- Sarah, 30, Social Media Maven: Enjoys predicting trending events with friends and sharing results
- ⚡ Real-Time Event Tracking - Outcomes updated within 2 minutes
- 🕐 Short-Duration Bets - Events as short as 15 minutes
- 📱 Social Media Integration - Share bets directly to Twitter/Instagram
- 🎮 Esports Focused Markets - Dedicated gaming event coverage
- 💸 Instant Payouts - Winnings credited within 5 minutes
- 📊 Community Leaderboards - Competitive rankings and stats
- Frontend: Next.js 14+ (App Router), TypeScript, Tailwind CSS
- Backend: Node.js, Express, PostgreSQL, Prisma ORM
- Blockchain: Base (Ethereum L2) for transparent payouts
- Real-time: WebSockets for live event updates
- Auth: OAuth 2.0 with secure JWT sessions
- Deployment: Vercel (frontend) + Railway (database)
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Clone this repo
git clone https://github.com/Prof0xx/quickbets.git cd quickbets -
Follow the complete build spec
- See
CURSOR_MASTER_PROMPT.mdfor the complete 59KB specification - See
BUILD_PLAN.mdfor development phases and architecture details
- See
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The spec includes:
- Complete database schema and API design
- Frontend component architecture and user flows
- Security review and threat mitigation strategies
- DevOps setup and deployment instructions
- QA test scenarios and acceptance criteria
- Design system and UX guidelines
This project was generated by an AI product council consisting of 9 specialist agents:
- Fury (Product Chair) - Market analysis and user stories
- Stark (Frontend Architect) - React/Next.js architecture
- Spock (Backend Architect) - Database design and API specs
- Wonka (UX Designer) - User flows and design system
- Vader (Security) - Threat model and auth strategies
- Scotty (DevOps) - Infrastructure and deployment
- Hermione (QA) - Test scenarios and acceptance criteria
- Rick (Red Team) - Critical gaps and edge cases
- Neo (Blockchain) - Base integration and smart contracts
- Month 1: 5,000 active users, 30% retention, 10,000 bets placed
- Month 6: 50,000 active users, 100,000 bets placed, positive cash flow
The CURSOR_MASTER_PROMPT.md contains everything needed to build this app with zero ambiguity. No guessing, no TBDs - just follow the spec.
Built with AI council specification → Human implementation workflow