SQL | Walqalum

Hainok

Project Detail

Hainok is a cutting-edge real estate intelligence platform built to help buyers, investors, and property agents make informed decisions through verified data and intuitive tools. With a focus on transparency and reliability, Hainok offers real-time market insights, property listings, location analytics, and pricing trends across Pakistan's rapidly evolving real estate sector. WALQALUM was approached to create a responsive, data-driven web solution for Hainok that reflects its vision of becoming the go-to digital platform for real estate market analysis and property discovery. The solution needed to deliver lightning-fast access to complex datasets, ensure a user-friendly UI, and support various user roles like buyers, agents, and developers.

Project Category:

Real Estate

Client:

Hainok

Duration:

10 Months

Region:

Spain

The Challenge

The main challenge was to organize and present large amounts of real estate data in a clean, accessible format while ensuring:

Accurate geo-tagging and filtering by city, area, and property type
Fast search and load times across property listings and data visualizations
Role-based dashboards for investors, buyers, and property agents
Integration with external APIs for market data and property verification
Secure backend for handling sensitive property and user information

Solution

WALQALUM developed a fully custom web application using modern frameworks, optimized for data scalability and real estate domain needs. The platform was designed to give users smart search tools, dynamic maps, and interactive charts—all while keeping the UI simple and elegant.

Key Features:

Intelligent search filters (price, location, property type, etc.)
Interactive map view with property pins and region overlays
Price trend graphs and area-based analytics
Real-time listing updates and property verification badges
Admin dashboard for property management and agent approvals
SEO-optimized listing pages with structured data for Google indexing
Mobile-friendly, performance-first frontend

The Approach

Plan

Collaborated with the client to define data flows, roles, and user journeys for real estate users.

Design

Designed intuitive dashboards, map components, and clean data tables to support insight delivery.

Implement

Built the system architecture with scalable backend services and search indexing.

Test

Stress-tested property search performance and map rendering on mobile and desktop.

Deploy

Configured cloud-based deployment with backups, monitoring, and API scaling.

Support

Ongoing data support, UX improvements, and quarterly feature releases.

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