Smart Housing Alerts NL

This project was a simple UI test I built with Lovable to explore fast mobile based app creation. It demonstrates how quickly a functional concept can be turned into a working prototype. You can view the product through the link below.

Finding a rental home in the Netherlands is highly competitive and stressful, especially for internationals and first-time renters. Applicants often spend hours browsing listings only to discover late in the process that they do not meet key requirements such as income thresholds, contract length, or landlord preferences. At the same time, landlords and agencies are overwhelmed with hundreds of unqualified applications, making the process inefficient and frustrating on both sides. The lack of transparency and early-stage filtering leads to wasted time, emotional fatigue, and low success rates for renters.

Rent-Match is a matching-based rental platform designed to reduce friction and improve fairness in the housing search. Instead of users manually applying to dozens of listings, the platform collects essential renter information upfront and matches them only with properties where they meet the core requirements. By focusing on compatibility rather than volume, Rent-Match helps renters invest their energy in realistic opportunities while enabling landlords to receive fewer, higher-quality applications. The result is a more transparent, efficient, and human-centered rental experience for both parties.

Lovable AI played a key role in enabling fast exploration and validation of ideas during this project. Instead of spending weeks on high-fidelity mockups, I used Lovable to quickly prototype core flows, test assumptions, and visualize multiple interaction patterns early in the process. This allowed me to move fluidly between problem framing, solution ideation, and usability checks, while staying focused on user needs rather than interface polish. By accelerating iteration cycles, Lovable AI helped surface design issues sooner and made it easier to refine the product direction with confidence.

Using Lovable AI helped me move fast, but it also made clear where my role as a designer really mattered. While the tool was great for generating flows and testing ideas quickly, it often lacked sensitivity around context, tone, and trust, especially for topics like income, eligibility, and rejection. I had to step in to decide what information felt fair to ask for, how to communicate mismatches kindly, and where clarity mattered more than speed.