Inspiration

AI tools are everywhere, but most people don’t realize how much they’re spending each month across ChatGPT, Claude, Perplexity, and more. Subscriptions pile up, renewal dates get forgotten, and budgets spiral. We wanted to build something that gives users transparency and control over their AI expenses.

What it does

AI Expense Manager automatically identifies AI-related expenses, visualizes spending trends, and provides AI-powered recommendations to optimize costs. It also tracks active subscriptions, sends renewal alerts, and suggests savings opportunities.

How we built it

We built the frontend with Next.js, React, TailwindCSS, and Chart.js for an interactive dashboard. The backend uses Node.js with API routes and custom algorithms for expense categorization. We integrated Flowglad for subscription management and payments, and Honcho (via Plastic Labs) to power memory, personalization, and intelligent recommendations.

Challenges we ran into

Designing an algorithm to correctly identify AI-related expenses from general transactions.

Getting Honcho’s memory and recommendation system to deliver clear, personalized suggestions.

Time constraints: balancing feature completeness with hackathon speed.

Accomplishments that we're proud of

Built a functional live demo that tracks spending, shows clear analytics, and interacts through AI.

Seamlessly integrated Flowglad and Honcho to handle both billing and personalized insights.

Created a clean, intuitive UI that makes a complex problem feel simple.

What we learned

How powerful it is to combine billing infrastructure (Flowglad) with agentic memory/personalization (Honcho).

The importance of designing a product demo flow that tells a story, not just shows features.

Building quickly under hackathon conditions forces prioritization and creativity.

What's next for AI Expense Manager

Expanding beyond AI tools to cover all SaaS subscriptions (Netflix, Notion, Slack, etc.).

Adding automatic transaction imports from bank/credit card APIs (Plaid, Stripe).

Team dashboards for enterprise expense management.

Smarter AI insights that not only suggest cancellations but also recommend better alternatives.

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