Platform Architecture & Feature Spec Generator

platform_name: PromptHub, platform_type: community-driven sharing platform, primary_purpose: AI prompt discovery and collaboration, target_scale: 100k+ active users, target_audience: AI developers and prompt engineers

# PromptHub Platform Specification ## PLATFORM OVERVIEW **Core Value Proposition:** PromptHub serves as the definitive community-driven marketplace for AI prompt discovery, sharing, and collaborative improvement, enabling AI developers to accelerate development through proven, community-vetted prompts. **Primary Use Cases:** - Prompt discovery and search across categories - Community contribution and feedback loops - Version control for prompt iterations - Private organizational prompt libraries ## TECHNICAL ARCHITECTURE **Recommended Stack:** - Frontend: Next.js 14 with TypeScript, Tailwind CSS - Backend: Node.js with Express, PostgreSQL, Redis caching - Search: Elasticsearch for semantic prompt search - Deployment: Docker containers with Kubernetes orchestration **Scalability Considerations:** Microservices architecture with separate services for authentication, search, and content management. CDN integration for global performance. ## CORE FEATURES (Priority Matrix) **MVP Features:** - User authentication and profiles (Complexity: 2, Time: 2 weeks) - Prompt submission with metadata tagging (Complexity: 3, Time: 3 weeks) - Search and filtering system (Complexity: 4, Time: 4 weeks) - Basic rating and favoriting (Complexity: 2, Time: 1 week) **Phase 2 Features:** - Advanced prompt versioning (Complexity: 4, Time: 3 weeks) - Team collaboration spaces (Complexity: 5, Time: 5 weeks) - API integration for programmatic access (Complexity: 3, Time: 2 weeks) ## IMPLEMENTATION ROADMAP **Months 1-2:** MVP development focusing on core prompt sharing functionality **Months 3-4:** Community features and advanced search implementation **Months 5-6:** Enterprise features, API development, and scaling optimizations