Prosperty IKE – Real Estate Platform

Prosperty case study — Built the geospatial property platform: map search, listings and the agent back office

Client:

Prosperty IKE

Date:

2021–2022

Duration:

12 months
Prosperty IKE – Real Estate Platform
Full-stack work on the Prosperty real estate platform, a startup built around geospatial property search. Frontend architecture, features from scratch, and a lot of restructuring as the product found its shape.

About the client

Prosperty IKE is a real estate technology startup working on how people actually find property. Location and proximity drive the search rather than sitting in a filter panel.

Project Overview

Most property sites are a list with filters bolted on. Prosperty was built the other way round, with geography as the primary axis: search by location, proximity and spatial criteria instead of scrolling a list and hoping.That decision pushes complexity everywhere. Spatial queries are expensive, filtering logic gets tangled fast, and none of it can leak into an interface that has to stay simple enough for someone browsing flats on a phone.A serious part of the work was rebuilding what was already there. As the product changed, the codebase needed clearer separation of concerns and more predictable data flow, otherwise each new feature would cost more than the one before it.This is startup work, so the technical foundation had to be solid without being final.

The Challenge

Geospatial search is the hard part. Location filtering complicates both frontend and backend, and spatial data has performance characteristics that punish a naive implementation immediately.The other challenge was the startup itself. Requirements moved quickly, which makes refactoring an ongoing activity rather than a phase. Skip it and you spend the next quarter paying interest.

My Contribution

Full-stack engineer, with responsibility for a number of the architectural calls.I used Vuetify on the frontend and Laravel on the backend. I built features from scratch and restructured plenty of existing ones, because keeping the codebase able to absorb geospatial search meant regularly going back over things that already worked.I worked closely with the product team on turning business requirements into something buildable, which mostly means being honest early about what a feature will cost.

Technology Stack

  • Vue.js 3, Vuetify, Laravel, full-stack web architecture, geospatial search functionality, startup-scale application development
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