Fairshare
Project Overview
Fairshare transforms group expense management by seamlessly connecting to users' banking data through Plaid API integration. This secure connection allows automatic transaction importing, intelligent expense categorization, and simplified bill splitting. Whether you're sharing an apartment with roommates, planning a group vacation, or managing household expenses with family, Fairshare eliminates tedious manual expense tracking and complex calculations. Users can create multiple expense groups, customize splitting rules based on percentages or fixed amounts, and visualize their spending patterns with interactive charts. The platform generates optimized settlement plans that minimize the number of transactions needed to settle debts, making financial reconciliation faster and more efficient.
Key Features
Technical Challenges
Technology Stack
Used throughout the application to ensure type safety in financial calculations and data handling, significantly reducing potential for calculation errors in sensitive financial operations.
Leveraged as our JavaScript runtime for its exceptional speed and built-in tooling, resulting in faster API responses and more efficient transaction processing.
Implemented to create a responsive, modern UI while maintaining simplicity. This approach allowed us to deliver dynamic content updates and interactive features without the overhead of a heavy JavaScript framework.
Employed for database operations, providing type-safe queries and migrations that ensure data integrity for financial records and complex expense relationships.
Integrated to securely connect with users' financial institutions, enabling automatic transaction importing, account balance monitoring, and streamlined expense tracking with bank-level security.
Development Process
Research & Financial Analysis
Conducted market research on expense sharing needs and analyzed existing solutions to identify gaps in bill-splitting applications. Studied financial behaviors of roommates, travelers, and families to understand unique requirements.
Plaid API Integration Planning
Evaluated banking API options and selected Plaid for its comprehensive coverage and security features. Designed secure authentication flows and data handling processes compliant with financial regulations.
Data Modeling & Architecture
Created a flexible data model capable of representing complex financial relationships, transaction histories, and customizable expense allocations. Established schema using Drizzle ORM for type safety.
Frontend Development & HTMX Implementation
Built a responsive interface using HTMX to achieve dynamic content updates without the complexity of a full SPA framework. Focused on creating an intuitive UX for financial operations.
Data Visualization & Reporting
Designed interactive charts and reports using Chart.js to provide users with meaningful insights into spending patterns, category breakdowns, and financial trends over time.