Vega: AI Money Tracker

Track multi-currency accounts with auto-conversion! Use thousands of ways to add transactions. Set smart budgets, crush savings goals, and see where your money goes with clear charts.

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Inspiration

As a remote freelancer living in Vietnam, I was constantly dealing with multiple currencies — being paid in USD, spending in VND, and sometimes saving in EUR or JPY. Existing finance apps felt clunky, especially for multi-currency users like expats, students abroad, or families receiving remittances. I wanted to create a tool that makes tracking money effortless and flexible. That’s why I built Vega: AI Money Tracker — a finance app designed for people with global, multi-currency lifestyles.

What it does

Vega makes personal finance simple and intelligent:

  • AI-powered input: Add expenses via chat, voice, or by uploading a receipt photo. Vega automatically detects categories, amounts, and currencies.
  • Multi-currency tracking: Transactions in different currencies are converted automatically with real-time exchange rates, while preserving the original value.
  • Smart notifications: With OneSignal, Vega reminds users when budgets, debts, or savings goals are approaching their limits.
  • iOS Widgets: Custom widgets let users view balances, budgets, or quickly log transactions right from their iPhone home screen.
  • Insights dashboard: Overview and category insights help users understand their spending habits and manage finances proactively.

How I built it

  • Frontend: Built with Flutter, using Riverpod for state management, Moon Design for UI, and GoRouter for navigation.
  • Backend: Supabase for authentication, database, and Edge Functions, handling multi-currency logic and AI calls (OpenAI + Gemini).
  • AI integration: Chatbot interface for categorization and transaction input, with history sync between local DB (Hive/Sembast) and Supabase.
  • Monetization: RevenueCat integration for subscriptions and paywall management.
  • Engagement: OneSignal Journeys and REST API for onboarding nudges and financial reminders.

Challenges I ran into

  • Handling timezone and currency conversions consistently across accounts and transactions.
  • Dealing with App Store review rejections around IAP and paywall clarity.
  • Balancing performance with AI integration while keeping the app responsive on iOS devices.
  • Debugging in-app purchases and sandbox testers within hackathon deadlines.

Accomplishments that I'm proud of

  • Built and shipped a fully functional multi-currency AI money tracker from scratch as a solo developer.
  • Successfully integrated RevenueCat for subscriptions and OneSignal for personalized user engagement.
  • Delivered customizable iOS home screen widgets that bring finance insights and quick actions directly to users.
  • Designed a delightful onboarding and UI experience, optimized for both light and dark themes.
  • Launched on the Apple App Store within the hackathon timeframe.

What I learned

  • How to design a finance app that truly adapts to different user lifestyles and currencies.
  • The importance of clear onboarding and nudges (Day-0 Journeys) for user activation.
  • How to work with Supabase Edge Functions + OneSignal REST API to deliver event-driven push notifications.
  • How to streamline App Store submission by pre-emptively addressing reviewer feedback.

What's next for Vega: AI Money Tracker

  • Group Spending Bot for managing shared expenses with friends or roommates.
  • More iOS widget types for budgeting, savings progress, and personalized AI insights.
  • Siri/Shortcuts integration for faster expense logging.
  • Deeper analytics: monthly reports, savings projections, and debt payoff insights.
  • Global expansion: Add more languages and localized currency presets for expats and travelers.

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