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CryptoVoice: AI-Powered Social Media Command Center
Next.js·AI·TypeScript·Supabase·Twitter·Telegram·OpenAI·Automation·Social Media·Content Generation
Crypto Tweet Generator
A Next.js application designed to automate the creation, refinement, and scheduling of tweets for crypto-related projects. It leverages AI models (OpenAI, Anthropic, Google Gemini) for content generation, integrates with Supabase for data management, and supports posting to Twitter and Telegram. The application features a spreadsheet-like interface for managing tweets, inline editing, status tracking, and a designer mode for streamlined image management. It also includes prompt versioning, automated scheduling, and multi-platform support.
Features
- Comprehensive tweet lifecycle management system
- Spreadsheet-like interface for efficient tweet management
- Inline editing capabilities for quick content updates
- Status tracking for monitoring tweet progress
- Designer mode for streamlined image management
- Prompt versioning for content optimization
- Automated scheduling system
- Multi-platform support (Twitter and Telegram)
- Integration with multiple AI providers (OpenAI, Anthropic, Google Gemini)
Technical Stack
- Frontend Framework: Next.js with React and TypeScript
- Styling: Tailwind CSS for modern, responsive design
- Database: Supabase for robust data management
- AI Integration:
- OpenAI API
- Anthropic API
- Google Gemini API
- Social Platform APIs:
- Twitter API
- Telegram API
- Testing & Validation:
- Jest for testing
- Zod for type validation
- Automation: Puppeteer for web automation
Lessons Learned
- Modular architecture with clear separation of concerns proved essential for maintaining a complex system with multiple integrations
- Managing multiple AI provider configurations and external service credentials requires careful planning and security considerations
- A well-designed user interface with features like inline editing and status tracking significantly improves the user experience
- Implementing prompt versioning helps in optimizing content generation over time
- Integration with multiple platforms requires robust error handling and rate limiting strategies