Lystio | PropTech Platform That Reached 60,000 MAU by Keh PerickLystio | PropTech Platform That Reached 60,000 MAU by Keh Perick

Lystio | PropTech Platform That Reached 60,000 MAU

Keh Perick

Keh Perick

Overview

Lystio is an AI-powered real estate marketplace designed to simplify how people search for and discover properties across Austria. The platform allows users to explore apartments, houses, commercial properties, and new developments through an intuitive map-driven interface and advanced filtering tools.
The mission: replace traditional "pay-to-rank" listing models with a relevance-based search experience that prioritizes what users actually want to find.
I worked closely with the founders and CEO as part of a small product team to design the platform experience and build the foundational design system that powered the product's interface.

My Role

As Product Designer, I worked directly with the founders, engineers, and QA team to shape the product experience from early concept through implementation.
My responsibilities included:
Designing the core product interface
Structuring the property discovery experience
Collaborating in creating the Lystio design system
Working closely with developers to maintain design accuracy and consistency
Supporting QA to ensure design quality during development
Working within a tight startup team meant design decisions had to balance speed, usability, and scalability.

The Problem

The real estate search experience across many existing platforms is fragmented and frustrating. Common issues users face include overwhelming listing pages, poor search relevance, limited filtering, outdated interfaces, and paid listings dominating search results.
The challenge was to design a platform that simplifies property discovery, makes browsing feel intuitive and exploratory, allows users to filter properties quickly, and creates a modern digital experience for real estate search.

Design Approach

Map-Driven Property Exploration

Real estate search is inherently location-based, so the interface centers around a map-driven browsing experience. Users can visually explore available listings while dynamically adjusting their search area, improving spatial awareness when searching for homes.
Map-driven property exploration
Map-driven property exploration

Simplified Property Browsing

The interface prioritizes clear and structured property cards that surface the most important information at a glance. Each listing highlights key attributes such as price, location, and essential property details while maintaining a clean visual hierarchy.
Property cards grid
Property cards grid

Scalable Design System

A structured design system was developed to support consistency and scalability across the platform, including reusable UI components, standardized layouts, and defined interaction patterns.
Scalable design system
Scalable design system

Information Hierarchy

The information hierarchy was designed to help users quickly understand property listings while maintaining a clean interface. Property imagery, price, and location are prioritized first, followed by key attributes like number of rooms and property type. More detailed information is revealed progressively as users interact with a listing.

Results and Impact

Within the first three months of launch:
60,000+ active monthly users
45,000 unique properties listed per month
1,500 agents advertising on the platform
20% monthly growth in listings
25% monthly growth in leads for advertisers
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Posted Aug 3, 2026

Designed the core product experience for an AI-powered real estate marketplace in Austria, from discovery flows to a scalable design system. Hit 60,000+ MAU within 3 months of launch.