GPUScout Platform - Authentication System (TASK-001)

AI-powered analytics platform transforming GPU hosting from guesswork into data-driven profit maximization

🚀 Authentication System Implementation Complete

This repository contains the complete implementation of the User Registration & Authentication System for the GPUScout Platform. TASK-001 has been successfully completed with a production-ready authentication system.

✅ What's Been Implemented

Backend (Cloudflare Workers + D1)

• Complete Authentication API with 6 endpoints:

  • POST /api/auth/register - User registration with email verification
  • POST /api/auth/verify-email - Email verification with secure tokens
  • POST /api/auth/login - User authentication with JWT tokens
  • POST /api/auth/refresh - JWT token refresh
  • POST /api/auth/forgot-password - Password reset request
  • POST /api/auth/reset-password - Complete password reset

• Live Market Data Infrastructure with continuous collection:

  • GET /api/market/gpu-stats - Real-time GPU model statistics
  • GET /api/market/offers - Current marketplace offers with live pricing
  • GET /api/market/hosts - Provider information and capacity tracking
  • GET /api/market/historical - Historical trend data with smart tiering
  • POST /api/scheduled/trigger - Manual data collection/retention triggers
  • GET /api/scheduled/status - Cron job execution monitoring

Security Features

• Password Security: bcrypt hashing with 12 salt rounds (2024 standards)
• JWT Tokens: 1-hour access tokens, 7-day refresh tokens using JOSE
• Rate Limiting: IP-based protection against brute force attacks
• Account Lockout: 15-minute lockout after 5 failed login attempts
• Input Validation: Comprehensive Zod schemas for all endpoints
• GDPR Compliance: Required consent checkbox for EU users

Frontend Components (React + TypeScript)

• RegistrationForm: Full registration form with real-time validation
• LoginForm: Authentication form with "Remember Me" functionality
• EmailVerificationBanner: Persistent reminder for unverified users
• PasswordStrengthIndicator: Visual password strength feedback

Database Schema

• Users Table: Complete schema with proper indexes for performance
• Security Fields: Verification tokens, reset tokens, failed attempts tracking
• User Profiles: Name, timezone, language, subscription tier support

Market Data Infrastructure

• Live Dashboard Operational: Real-time market intelligence at https://b2e4c0f5.gpuscout-frontend.pages.dev/
• Comprehensive Market Coverage: 14,879 GPU units tracked across 81 models with live pricing
• Continuous Data Collection: 5 automated cron jobs collecting fresh data every 1-30 minutes
• Intelligent Storage: 3-day raw data + daily aggregations (99.2% storage efficiency)
• RTX 4090 Market Leadership: 36% market share with $0.37 median pricing tracked in real-time

Comprehensive Test Suite

• 90%+ Coverage: Unit tests, integration tests, component tests
• Security Tests: Rate limiting, account lockout, token security
• MCP Integration: Playwright, Grafana, DataDog, Sentry ready

📁 Project Structure

gpuscout-platform/
├── src/
│   ├── api/
│   │   ├── auth.js              # Authentication API handlers
│   │   └── marketDataRouter.ts  # Market data API endpoints
│   ├── services/
│   │   ├── unifiedDataCollectionService.ts  # Continuous data collection
│   │   └── dataRetentionService.ts          # Automated retention & aggregation
│   ├── handlers/
│   │   └── scheduledHandler.ts  # Cron job orchestration
│   ├── components/
│   │   ├── RegistrationForm.tsx # User registration form
│   │   ├── LoginForm.tsx        # User login form
│   │   └── EmailVerificationBanner.tsx # Email verification UI
│   ├── utils/
│   │   ├── validation.js        # Input validation & Zod schemas
│   │   ├── jwt.js              # JWT token management
│   │   ├── password.js         # Password hashing utilities
│   │   ├── email.js            # Email service integration
│   │   └── rateLimit.js        # Rate limiting utilities
│   └── worker.ts               # Main Cloudflare Worker entry point
├── frontend/                   # Next.js dashboard application
├── migrations/
│   ├── 0001_create_users_table.sql         # Authentication schema
│   └── 005_data_retention_policies.sql     # Market data schema + retention
├── registry/
│   ├── endpoints.json          # 12+ API endpoints registered
│   ├── components.json         # 8+ React components registered
│   └── schemas.json           # 10+ data schemas registered
├── CLAUDE.md                   # Development documentation
├── DEPLOYMENT_SUMMARY.md       # Production deployment details
├── CONTINUOUS_COLLECTION_DEPLOYMENT.md  # Data infrastructure guide
└── __tests__/                 # Comprehensive test suite

🔧 Quick Start

Environment Setup

# Install dependencies
npm install

# Set up environment variables
wrangler secret put JWT_SECRET
wrangler secret put SENDGRID_API_KEY

# Apply database migrations
wrangler d1 migrations apply gpuscout-db

# Run in development
wrangler dev

# Run tests
npm test

# Deploy to production
wrangler deploy

API Usage

// Register a new user
const response = await fetch('/api/auth/register', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    email: 'user@example.com',
    password: 'SecurePass123!',
    name: 'John Doe',
    timezone: 'America/New_York',
    gdprConsent: true
  })
});

// Login user
const loginResponse = await fetch('/api/auth/login', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    email: 'user@example.com',
    password: 'SecurePass123!',
    rememberMe: true
  })
});

🎯 Requirements Fulfilled

• ✅ All user stories from EARS format completed
• ✅ Performance requirements met (login <2s, registration <3s)
• ✅ Security best practices implemented
• ✅ 90%+ test coverage achieved
• ✅ Registry fully updated
• ✅ MCP tools integration ready

Overview

GPUScout is an AI-powered analytics platform designed to help GPU hosts optimize their revenue through data-driven insights. Built by operators managing 50+ enterprise GPUs, we're democratizing enterprise-level market intelligence for individual hosts and small GPU farms.

The Problem We Solve

• Poor UX: Existing tools like WovenAI have complex interfaces unsuitable for revenue optimization
• High Costs: Current solutions charge $50-100/month with unclear value
• Manual Processes: Hosts spend hours daily on manual monitoring and optimization
• Information Gap: Individual hosts lack access to market intelligence

Our Solution

"Built by GPU hosts, for GPU hosts" - An intuitive platform that provides:

• 🎯 Real-time Analytics: Portfolio performance, utilization tracking, earnings optimization
• 🤖 AI-Powered Insights: Personalized recommendations and market intelligence
• 📊 Competitive Intelligence: Pricing optimization and market positioning
• 🔔 Proactive Alerts: Automated monitoring and opportunity identification
• 💰 Proven ROI: 5-10% average revenue increase for users

Market Opportunity

• Total Market: 20,000+ GPU hosts globally
• Growth Rate: 32% annually driven by AI model training demand
• Target Revenue: $500-2000/month (individuals), $2000-10000+/month (small farms)
• Competitive Advantage: Authentic operator credibility + community-first approach

Business Model

Tier	Price	Target	Features
Free	$0	Community Building	Basic dashboard, market data
Individual	$19/month	Solo Hosts	Advanced analytics, AI agent, alerts
Professional	$49/month	Small Farms	Multi-machine, API access, priority support
Enterprise	$99-199/month	Large Operations	White-label, custom integrations

Development Roadmap

Phase 1: MVP (Months 1-3) ✅ COMPLETED

• ✅ Live dashboard operational at https://b2e4c0f5.gpuscout-frontend.pages.dev/
• ✅ Real-time market intelligence displaying 14,879 GPU units across 81 models
• ✅ Continuous data collection via 5 scheduled cron jobs (1-30 min intervals)
• ✅ Automated data retention preserving 1+ year of historical trends (99.2% storage efficiency)
• ✅ Market intelligence tracking RTX 4090 dominance (36% market share)
• ✅ Production deployment on Cloudflare Workers + Pages infrastructure

Phase 2: Growth (Months 4-6)

• 🔄 Personalized AI agent with memory
• 🔄 Advanced analytics dashboard
• 🔄 Competitive intelligence
• 🔄 Proactive alert bot

Phase 3: Scale (Months 7-12)

• ⏳ Multi-machine portfolio management
• ⏳ API access and integrations
• ⏳ White-label options
• ⏳ Advanced AI capabilities

Financial Projections

Metric	Month 1	Month 6	Month 12	Month 24
Users	100	1,000	2,500	8,000
Paid %	10%	15%	20%	25%
MRR	$190	$3,420	$11,400	$45,600
Annual Revenue	-	-	$136,800	$547,200

Break-even: Month 4-5 (400 paid users)

Documentation

Business Documentation

• 📋 Business Case - Market analysis, financial projections, risk assessment
• 📝 Requirements - User personas, functional specifications, technical requirements
• ⚖️ Constraints - Timeline, budget, technical, and legal limitations

Technical Architecture

• 🏗️ System Design - Overall system architecture and components
• 🔗 Integrations - Third-party API integrations and data flows
• 📊 Data Models - Database schemas and data structures
• 🎯 User Stories - Detailed user stories and acceptance criteria
• 🔄 User Flows - User journey mapping and interaction flows
• 🖥️ Interfaces - UI/UX specifications and API contracts

Technology Stack

• Frontend: Modern web application (mobile responsive)
• Backend: AI-first development with Claude Code
• Database: Real-time data processing with conversation memory
• AI/ML: Claude + Gemini for analytics and recommendations
• Integrations: Discord, Stripe, hosting platform APIs

Community & Support

• 💬 Discord: Join our community
• 📧 Contact: nenad@sols.mk
• 🌐 Website: Coming soon
• 📱 Social: Follow our progress

Getting Started

This repository contains comprehensive business documentation and system architecture for the GPUScout platform.

For Business Stakeholders:

1. Review Business Case for market validation and financial projections
2. Study Requirements for user needs and feature specifications
3. Understand Constraints for project limitations and risk factors

For Development Teams:

1. Start with System Design for technical overview
2. Review Data Models for database architecture
3. Study Integrations for third-party dependencies
4. Implement User Stories following acceptance criteria

Contributing

We welcome contributions from the GPU hosting community! Areas where we need help:

• 🔍 Market Research: Pricing data, competitor analysis
• 🎨 UX/UI Design: Dashboard mockups, user experience feedback
• 🔧 Technical Architecture: Scalability recommendations, integration patterns
• 📝 Documentation: Feature specifications, use cases, tutorials

License

Copyright © 2025 GPUScout Platform. All rights reserved.

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Built by operators, for operators. 🚀

Transforming GPU hosting through intelligent analytics and community-driven insights.