PrivaPay

Inspiration

• The need for privacy in payroll systems
• Problems with traditional solutions exposing sensitive financial data
• The opportunity to leverage zero-knowledge proofs for both privacy and verifiability

What it does

• Comprehensive payroll management with privacy preservation
• Detailed features for both employers and employees
• The privacy-first approach to financial transactions

How we built it

• Technical stack including Leo, Aleo SDK, and TypeScript and DokoJS
• Architecture design explaining records, mappings and transition functions
• Testing framework implementation
• Used ANS for employee details and Verulink to fund the admin wallet
• Use of IPFS to store the DAO Proposal Data

Challenges we ran into

• Working within the constraints of the Leo language
• Managing state and records in a privacy-preserving environment
• Testing applications where data is intentionally hidden

Accomplishments that we're proud of

• Successfully implementing end-to-end payroll functionality with privacy
• Creating a multi-party interaction model
• Contributing to the Aleo ecosystem

What we learned

• Design principles for zero-knowledge applications
• Leo programming patterns and best practices
• Approaches to privacy-first architecture
• Techniques for testing privacy-preserving systems

What's next for PrivaPay

• Multi-currency support
• Advanced reporting features
• Recurring payment templates

Built With

• ans
• dokojs
• leo
• react
• typescript