HouseLyzer

Inspiration

Looking for a house or apartment can quickly become overwhelming. You jump between multiple websites, keep messy notes, and try to compare listings without any real structure. I wanted a tool that could centralize all the listings I’m interested in and actually help me analyze them — not just save them. That’s where the idea for HouseLyzer came from.

What it does

HouseLyzer is a web app that lets you manage, annotate, and compare real estate listings in one place. You can import a listing from any rental or property website and the AI automatically extracts key information: price, location, size, photos, and features. Once imported, you can edit the listing, add your own notes, and even update missing or incorrect data. The app also lets you draw rooms on a visual map, helping you understand the layout of a property. Built-in tools let you calculate mortgage payments based on custom inputs like interest rate, down payment, and loan term.

How we built it

React, i am creating the mobile version in other tab. React typescript and tailwindcss. Conection with supabase, OpenAI and scraperAPI.

Challenges we ran into

For Europe and general project.

Accomplishments that we're proud of

AI-assisted property import works on most major real estate sites Flexible floor plan editor is intuitive and lightweight Mortgage calculator is clean and accurate The app is responsive, clean, and already useful in real-world scenarios

What we learned

How to combine AI with user-driven tools to improve decision-making The importance of balancing automation with manual control Practical challenges of parsing unstructured data from the web Designing a UX that supports both power users and casual users

What's next for HouseLyzer

Mobile version Integration with Google Maps for location context Sync and login support to use across devices More advanced comparison tools (e.g. estimated ROI, travel time calculators) Chrome extension to import listings in one click AI suggestions based on user preferences and saved listings

Built With

• native
• react
• tailwindcss
• typescript