Inspiration

Managing subscriptions has become a challenge in today’s digital-first world. Most people don’t know how much they’re spending, forget renewal dates, or struggle to pick the right plans. We were inspired to solve this problem by combining AI personalization with RevenueCat’s subscription management tools to create a smarter, user-first solution.

What it does

SubSync AI is an app that helps users:

 Track all their subscriptions in one place

  Get reminders before renewals

   See spending insights and usage trends

   Receive AI-powered recommendations for the best subscription plans

RevenueCat handles the backend billing and subscription logic, while AI brings personalization to the experience.

How we built it

    Frontend: React Native for cross-platform app development

     Backend: Node.js + Firebase for secure data handling

    AI: OpenAI API for generating insights & recommendations

     Subscription logic: RevenueCat SDK for seamless subscription handling

     Design: Figma for quick prototyping and user-friendly UI

Challenges we ran into

     Learning to integrate RevenueCat across different platforms

        Balancing simplicity with feature richness in the UI

     Training AI prompts to give meaningful subscription suggestions

         Managing time and scope within hackathon deadlines

Accomplishments we’re proud of

       Building a working prototype in under hackathon time limits

    Successfully integrating RevenueCat with AI features

         Designing an intuitive, clean UI that people can easily use

    Gaining deeper insights into subscription ecosystems and user needs

What we learned

             Subscription logic requires careful attention to detail

       AI recommendations can add real value when fine-tuned properly

             User experience is just as important as technical innovation

       Collaboration and iteration speed are key in hackathons

What’s next for SubSync AI

             Expanding platform support to web and desktop apps

      Adding budget forecasting with predictive AI

          Supporting family/group subscription sharing

       Testing with real users and refining based on feedback

Built With

Share this project:

Updates