
PropTech MVP Built in 6 Months, Client Raised €2.2M
We built Breeze — a real estate marketplace with smart matching algorithms, multi-platform integration, and geodata optimization that reduced API costs by 2x-5x. The client successfully raised €2.2M seed funding after launching the MVP we delivered in 6 months.
PropTech / Real Estate
MVP Development
Mobile App Development
Product Development
About the Client
Breeze
Breeze is a Berlin-based PropTech startup revolutionizing Germany's rental market with a smart platform that connects tenants and landlords efficiently.
Operating across 100+ German cities with expansion planned for Austria and Switzerland, Breeze combines smart matching algorithms with map-based search and integrated instant messaging. Learn more about our MVP development approach for startups.
Results
€2.2M
Funding raised after MVP
100+
German cities covered
2x-5x
API cost reduction
6 months
MVP development time
Goal & Outcome
Goal
Finding apartments in Germany's competitive rental market is notoriously difficult. Tenants spend weeks searching across fragmented platforms, while landlords struggle to manage listings across multiple sites and filter through hundreds of unqualified inquiries.
Breeze needed to build a revolutionary platform that would streamline this process with smart matching algorithms, but faced a critical technical challenge: geodata APIs (for distances, points of interest, and travel time) were expensive and slow — each user request would multiply costs exponentially as the platform scaled.
Outcome
We built native iOS and Android apps using our mobile app development expertise with React Native, alongside a responsive web platform. The dual-role system allows users to operate as tenants or landlords seamlessly.
To solve the geodata cost problem, we engineered smart caching strategies, batched API requests from 7 to 1 per apartment, introduced a map grid clustering concept, and built a prediction algorithm that calculates transportation time with 10-15% accuracy in just 50ms — compared to 7 seconds without optimization. This reduced API bills by 2x-5x while improving app performance by 40%.
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Transformation Overview
Traditional Process
Digital Solution

Key Features:
Advanced algorithm matches tenant preferences with property features, scoring compatibility and surfacing best matches first based on location, budget, amenities, and lifestyle requirements.
Map-based discovery with custom radius settings, POI proximity analysis (schools, public transit, shopping centers), and accurate commute time calculations to workplace or preferred destinations.
Real-time chat between tenants and landlords with automated responses, document sharing capabilities, viewing request scheduling, and application status tracking—all within the app.
Comprehensive performance tracking with listing view metrics, applicant quality scores, response rate analysis, market positioning insights, and competitive pricing recommendations.
Process Flow
01
Discovery & Planning
Defined dual-role system architecture and API optimization strategy. Analyzed tenant and landlord user flows and identified geodata API cost optimization as a key priority.
02
Native Mobile Development
Built iOS and Android apps using React Native with shared codebase. Implemented map-based search, messaging, user profiles, and push notifications to accelerate time-to-market.
03
Geodata Optimization
Developed caching, batching, and clustering algorithms to reduce API calls and costs. Implemented a custom prediction system for transport time, improving performance and reducing third-party expenses.
04
Multi-Platform Integration
Integrated with major real estate platforms enabling automatic listing distribution, synchronization, and centralized management across multiple marketplaces.
05
Launch & Funding Success
Launched mobile apps with strong user traction and high daily activity. The platform’s success helped secure €2.2M in seed funding and validate product-market fit.
Under the Hood
Full-Stack Architecture
Modern full-stack technologies including React and React Native for frontend, Node.js backend services, PostgreSQL database, AWS cloud infrastructure, and NGINX for high-performance server handling.
React Native
React
Node.js
PostgreSQL
AWS
NGINX
FaQ
How much does it cost to build a real estate marketplace app?
Real estate marketplace development costs depend on features, platforms, and integrations. MVPs typically range from $25,000 to $70,000, while advanced platforms with smart matching and geodata optimization cost $80,000 to $150,000+. Learn more about MVP development .
How long does it take to develop a PropTech marketplace?
An MVP with core features takes 3–4 months. Full-featured platforms with mobile apps, smart matching, geodata integration, and admin panels typically require 6–9 months.
What technologies are best for real estate marketplace apps?
We use React Native for mobile apps, React for web, Node.js for backend services, PostgreSQL for data storage, and AWS for scalable infrastructure. Google Maps or Mapbox are used for geolocation features.
Can you reduce API costs for geodata and mapping features?
Yes, we optimize API usage through caching, request batching, clustering, and custom prediction algorithms. This can reduce costs by 2x–5x while improving performance.
What features should a tenant-landlord marketplace include?
Key features include property listings, advanced search filters, map-based discovery, messaging, user profiles, application tracking, payments, reviews, and push notifications.
What’s the difference between MVP and full platform development?
MVP focuses on core features for fast validation (3–4 months, lower cost). Full platforms include advanced features like smart matching, payments, analytics, and admin tools, requiring 6–12 months.
Do you support German market compliance (GDPR)?
Yes, we implement GDPR-compliant solutions including secure data storage, privacy controls, and automated data handling policies for EU markets.
Can you help raise funding after building the platform?
We build investment-ready products with scalable architecture and strong performance. Our work has helped clients secure funding by demonstrating clear value and technical quality.

Your Free Trial Sprint
Meet your team
Slack channel, assigned developer, daily standups. First code committed to your GitHub.Working prototype delivered
Technical spike or prototype complete. Architecture + budget roadmap for the full build.You keep everything. Zero cost. Zero commitment.

Oleg Kalyta
Founder & AI Lead- 1.You submit—We review within 24 hours
- 2.15-minute scoping call—We align on trial goals
- 3.Developer assigned—Within 48 hours
- 4.Working code in your repo—By end of Week 1