From side project to a product real estate operators actually use.

The Origin Story

My journey into building tools for real estate started back in 2021 with a small project called Real Estate Buddy. It was a simple, free browser extension designed to calculate mortgage repayments directly on Zillow and other real estate sites. I built it because I was tired of switching tabs to run basic numbers.

That project taught me two things: first, that real estate professionals are starving for better data tools; and second, that I loved building them. It didn't track users, it was free, and it just worked. That philosophy stuck with me.

The Pivot to Data

By late 2022, I realized the bigger problem wasn't just calculation-it was extraction. Investors and agents were spending hours manually copy-pasting listing data into spreadsheets. I founded Property Data Labs (formerly Zillow Data Exporter) to automate this.

What started as a tool to help me analyze rental markets quickly grew into a platform used by thousands. The goal was simple: turn hours of manual entry into seconds of automated work.

Engineering Background

Before going full-time on Property Data Labs, I spent years as a software engineer honing my skills in scalable systems.

• Back End Developer at Tise (now part of eBay) (2021-2024)
  Built scalable backend services using TypeScript and AWS for a sustainable fashion marketplace.
• Software Engineer at ActivePipe (2020-2021)
  Specialized in data imports and marketing automation for real estate agents.
• Full Stack Engineer at Genie Solutions (now Magentus) (2016-2020)
  Developed cloud and desktop practice management software for medical professionals.

I also cut my teeth founding other projects like TesolHub (a job portal for teachers) and JobCompanion. Some worked, some didn't, but every line of code led me here.

Why I Keep Building

Unlike massive data corporations, I'm an engineer who actually invests in real estate. I read every support email. If you have a feature request, you're talking directly to the person who writes the code. This tight feedback loop is why Property Data Labs improves every single week.