CLIENT:
Mzuri

Uczciwe opłaty - Platform for comparing housing costs

Project summary

LIVE PROJECT
CLIENT
Mzuri
PRODUCTS
Website
TEAM
  • Back-end Developer
  • Front-end Developer

Results

  • Data from 72 cities and more than 1,700 apartments

    a comparison database that grows with every submission

  • A form you can come back to

    automatic saving at every step

  • Automated data export

    a Google Sheets integration makes it easier for Mzuri to analyse the material collected

CASE STUDY

The system is designed to help users analyze property-related expenses by comparing them with regional averages, identifying areas of overpayment, and generating personalized savings reports.
This project responds to a growing public demand for greater transparency and smarter management of housing costs, including utilities, renovation funds, and administrative fees.

 

Challenge

The main goal was to develop a comprehensive, scalable, and user-friendly tool capable of:

  • Accurately comparing the cost of maintaining residential properties across different regions of Poland
  • Analyzing fee structures to highlight potential savings
  • Handling thousands of diverse data inputs efficiently
  • Ensuring full compliance with data protection regulations (GDPR)

 

Some of the most significant challenges included designing a complex, multi-step form, managing a vast array of cost components, ensuring accurate geographic mapping, and building a platform that could scale effectively while maintaining robust security.

Uczciwe opłaty, aktualnosci

Solution

The Boring Owl team designed and implemented a modern application architecture focused on user experience, high performance, and strong security.

  • Frontend: Next.js 15 with TypeScript and Tailwind CSS, using the shadcn/ui component library to deliver a responsive, modern user interface
  • Backend: Strapi 4 CMS with Node.js, providing a flexible content and data management system
  • Database: PostgreSQL/SQLite with optimized queries and relational data handling
  • DevOps: Docker, CI/CD pipelines via GitHub Actions, hosted on DigitalOcean
  • Integrations
    • Google Maps API – for address autocompletion and geolocation
    • Google Sheets API – automated data exports every 30 minutes for external analysis
    • Nodemailer (SMTP) – email notification system

 

Key Features

  • Advanced multi-step form
    • Automatic data saving between steps
    • Dynamic validation and seamless navigation between steps without data loss
    • Selection of location, property manager, building type, and cost components
  • Comparison & analysis engine
    • Generates comparative reports based on regional data
    • Offers savings suggestions and flags potential overpayments
  • Location management
    • Comprehensive database of towns and cities with administrative divisions
    • Smart suggestions and autocompletion for user inputs
  • Dashboard & educational blog
    • Key platform metrics visualized for users
    • Clear comparisons of property expenses “with us” vs. “without us”
    • Educational content on managing housing costs
  • Data security
    • Secured APIs with thorough data validation and sanitization
    • Full GDPR compliance with clear consent management for users

Uczciwe opłaty

Results

  • Business Metrics
    • Over 1,700 properties added
    • 1,000+ users completed the cost analysis form
    • Data collected from 72 cities across Poland
    • Average annual savings of 1,200 PLN per household
    • 95% of users reported a better understanding of their billing structure
  • User benefits
    • Clear and actionable comparative reports
    • Tools to support negotiations with property managers
    • Educational resources explaining fee components and cost structure
  • Operational impact
    • Automated data exports streamline external analysis
    • Significant error reduction thanks to validation and user-friendly interface
    • High user retention enabled by the ability to return and complete forms at any time

 

Summary

Uczciwe opłaty is a prime example of how modern technology can address real social challenges. By combining thoughtful system architecture, smart UX design, and robust third-party integrations, the platform helps Polish residents confront rising housing costs. The project not only boosts awareness but also delivers tangible savings - laying the groundwork for future developments in housing analytics and cost optimization.

Technologies used

FRONTEND

a responsive, modern user interface

FRONTEND

typing on both the front-end and the backend

FRONTEND

a consistent visual layer across the application

BACKEND

a flexible system for managing content and data

BACKEND

the runtime for the server layer

DATABASE

a relational database of the compared fees and reports

INFRASTRUCTURE

application containerisation

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