Our team wanted to solve a simple but frustrating problem: Most people dream of owning a home someday — but have no idea whether they’re financially on track or not. We kept asking ourselves: “What would my future look like if I changed nothing? What if I changed something? And what’s actually realistic?”
That idea inspired us to build FutureHome, a tool that blends data, predictions, and life-decision simulations into one clear story. Instead of throwing abstract numbers at users, we show what their future could look like — financially and emotionally — based on the choices they make today.
🔧 How we built it
We combined the ThinkImmo API and the Interhyp Budget Calculator API to estimate affordability, regional market dynamics, and realistic buying options. On top of that, we built a simple model that connects:
income growth
family size
lifestyle choices
buffer savings
long-term financial stability
All wrapped in a clean UI with dynamic scenario cards and category-based imagery we generated ourselves.
🧠 What we learned
We learned how sensitive real-estate decisions are: small shifts in income or living situation change everything. We also learned to think like users — not engineers. People don’t want numbers; they want clarity. Building the prediction logic forced us to simplify complex formulas, optimize API calls, and make assumptions more transparent.
🚧 Challenges we faced
Our biggest challenge was balancing accuracy with simplicity. Real estate financing can get very technical, but hackathon time is limited — so we focused on the parts that matter most: understanding the user’s situation, future household size, and budget limits.
Another challenge was designing a flow that feels calm instead of overwhelming. We iterated on the UI a lot until it felt intuitive.
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