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PropertyPulse

A mobile app built for a real estate agency that matches buyers to the right properties automatically. It learns what each buyer actually wants, sends instant alerts when new listings match, and lets them book viewings in one tap.

React Native Node.js OpenAI Firebase
PropertyPulse
94%
Match Accuracy
4 hrs
Time to First Viewing
1,200+
Active Buyers

The Problem

Real estate agents spend hours manually matching buyers to listings. Buyers miss properties because alerts arrive too late or feel too generic. The result: slower sales cycles and frustrated clients on both sides.

What We Built

PropertyPulse is a mobile app built for a Belgian real estate agency managing 300+ active listings. It replaces spreadsheet-based matching with an AI that learns from every interaction.

How It Works

  • Behavioral Learning: the system tracks browsing patterns, not just saved preferences. If a buyer keeps viewing 2-bedroom apartments near parks but listed “3 bedrooms,” the algorithm adapts.
  • Instant Match Alerts: new listings matching a buyer’s profile trigger a push notification within 60 seconds of publishing.
  • One-Tap Viewing: buyers request a viewing directly from the notification. The agent gets a calendar invite with buyer context attached.
  • Neighborhood Intelligence: each listing includes walkability scores, commute times, nearby schools, and price trend data from public APIs.
  • Agent Dashboard: real-time view of buyer activity, match scores, and viewing conversion rates per listing.

Results

Match accuracy reached 94% within 6 weeks. Manual matching time dropped from 3+ hours per agent per day to near zero. Average time from listing to first viewing request: 4 hours, down from 3 days.

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