OVERVIEW
From a difficult problem to a usable system.
HomeSwipe Agent, built under the hackathon name RentOS, turns apartment hunting into a personalized decision workflow. Users review listings through a swipe-based interface, while the system extracts structured listing information, observes preferences, enriches listing data, and improves its recommendations.
THE PROBLEM
What had to change
Apartment listings are fragmented, inconsistent, difficult to compare, and filled with unstructured information.
THE SOLUTION
How the product responds
The application converts listings into structured data, tracks user decisions, scores apartments against individual preferences, and surfaces stronger matches.
TECHNICAL APPROACH
How the system fits together
Listing content is extracted into a consistent schema before entering a preference-scoring pipeline. Swipe signals update a user preference profile, while analytics and observability make the agent workflow easier to understand and debug.
KEY FEATURES
What the product can do
- Swipe to save or pass
- Preference learning
- Structured listing extraction
- Recommendation scoring
- Listing enrichment
- Analytics events and tracing
- Responsive apartment cards