Project Overview

Lead Finder is a sophisticated SaaS platform designed to revolutionize how professionals discover and connect with business leads. Built with modern web technologies, it offers a seamless one-tab solution for finding, managing, and reaching out to potential business contacts.

Key Features

• Automated Lead Discovery: Intelligent scraping and aggregation of business leads from various sources
• AI-Powered Communication: Integrated with Gemini & OpenAI for smart email generation
• Gmail Integration: Direct email communication within the platform
• Lead Management: Full CRUD operations for leads and email communications
• Data Export: Export leads to Excel/CSV format
• Dark/Light Mode: Customizable UI with multiple accent colors
• Tiered Access: Free and Pro ($8/month) subscription plans

Technical Implementation

graph TD
    A[User Interface] --> B[React + Vite]
    B --> C[State Management]
    C --> D[Redux Store]
    C --> E[Feature Flags]
    B --> F[Authentication]
    F --> G[Clerk Integration]
    B --> H[Data Layer]
    H --> I[Convex Backend]
    B --> J[External Services]
    J --> K[Google Maps API]
    J --> L[AI Services]
    L --> M[OpenAI]
    L --> N[Gemini]

Architecture Highlights

• Frontend: Built with React + Vite for optimal performance and development experience
• Styling: Tailwind CSS + Shadcn UI for a modern, responsive design
• Authentication: Secure user management through Clerk
• Backend: Scalable data management with Convex
• State Management: Redux for predictable state updates
• Deployment: Hosted on Vercel for reliable performance

User Interface

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Future Development

The project roadmap includes:

1. Enhanced Lead Sources:

   • LinkedIn integration
   • Facebook lead lookup
   • Google search results scraping

2. Platform Improvements:

   • Expanded admin dashboard
   • Additional AI models and prompts
   • Comprehensive logging system

3. Infrastructure:

   • Codebase optimization
   • Enhanced documentation
   • Monitoring and error handling improvements

Technical Challenges

One of the main challenges was balancing API costs with functionality:

• Managing Google Maps API usage
• Optimizing AI service calls (OpenAI + Gemini)
• Implementing efficient data caching
• Handling cross-environment data migrations

Despite starting as a simple one-page application, Lead Finder evolved into a full-featured SaaS platform with over 20,000 lines of TypeScript/JavaScript code, demonstrating the power of iterative development and careful architectural decisions.