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Primocys designed and developed Lika as a real estate property platform that brings property discovery, listings, search, maps, lead workflows and administrative operations into one connected web product. The project combined a customer-facing browsing experience with the backend systems required to manage property data and business activity.
Lika was developed as more than a collection of property pages. The platform needed to connect search, property data, maps, listing presentation, lead capture and administrative workflows so buyers could discover relevant properties while the business could manage the information and inquiries behind those experiences.
Search, filtering, location context and map-based browsing help users move from a broad property catalogue toward relevant listings.
Structured property information, images and property-level actions are brought together in a consistent browsing experience.
Inquiry and contact actions are connected to the operational side of the platform rather than being treated as isolated website forms.
Business-side tools support the management of property information, users, content and relevant platform workflows.
Lika needed a property platform that kept search, maps, listings and lead workflows simple, while letting public browsing and internal operations run smoothly without turning the site into disconnected tools.
Primocys worked across the public property experience and the systems behind it, connecting property discovery, search, listing data, maps, lead workflows and administrative controls into one platform. The development scope covered both the customer-facing experience and the operational tools required to manage the product.
Structuring the main property journeys, information hierarchy and interactions required for discovery and inquiry.
Building the public web experience used to browse properties, locations and property details.
Presenting structured property information, media and user actions consistently across listing pages.
Connecting property attributes to a dedicated search experience that supports multiple filtering paths.
Adding location-based browsing so users can explore properties spatially rather than only through lists.
Supporting property data, application logic and communication between the public interface and platform services.
Connecting property inquiries and contact actions with the operational side of the platform.
Providing management tools for property information, users, content and business-side operations.
Separating property media delivery from the primary application and data layers for cleaner platform operation.
Behind every fast, high-converting real estate site lies a maze of image loads, live listings, complex filters, and search speed most platforms never fully solve.
Achieving Google’s Core Web Vitals “Good” threshold while serving 100,000+ property listings with real photos, search, and dynamic pricing — on mobile, globally — required rethinking every layer of the rendering pipeline, from ISR to image delivery.
At 100,000+ listings, duplicate or thin content is a Google death sentence. We engineered an automated content enrichment pipeline — pulling neighborhood data, school ratings, transit scores, and comparable sales — so every listing page had unique, rankable content.
Most real estate visitors are in research mode, not buy mode. We mapped the full buyer journey — first browse, saved search, shortlist, inquiry, tour — and redesigned CTAs, forms, and trust signals for each stage to maximize conversion at every touchpoint.
A real estate platform connects property data, search, media, maps, lead capture and administrative workflows. Lika’s architecture separates these responsibilities so the public property experience can remain responsive while backend services manage listing data, search operations and business workflows.
Property discovery, listing pages, location content, search interfaces and user-facing actions.
Application logic and communication between the public experience, data services and administrative functions.
Structured listing data in PostgreSQL with dedicated discovery and filtering through Algolia.
Google Maps for location experiences and AWS S3 with CloudFront for property media delivery.
Operational tools supporting listing management, content, user activity and property inquiries.
The architecture supports the complete property discovery and management lifecycle. Public property browsing connects with backend services for search, listing data, media delivery, maps, and the administrative controls that support day-to-day platform operations.
The feature set was organized around three practical needs: help visitors discover relevant properties, present property information clearly, and connect customer actions with the operational workflows behind the platform.
Next.js supports a public web architecture where property and location content can remain accessible while listing data continues to change over time.
Dedicated property discovery supports filters such as location, price, property type and other structured listing attributes.
Property attributes are organized consistently so they can be used across listing pages, filters, search results and administrative workflows.
Property-level actions can be placed around the user’s current journey, such as inquiries, viewing requests and other relevant contact flows.
Location-oriented pages and property discovery help users explore the catalogue through geographic context rather than only individual listings.
Inquiry data remains connected to the relevant property context so the business can handle follow-up more effectively.
Related-property experiences can use listing attributes and browsing context to help users continue discovery without restarting search.
Property detail experiences can incorporate richer viewing formats where virtual-tour assets are available for a listing.
Supporting tools such as mortgage or valuation workflows can be connected to relevant property journeys where required by the business.
Every design decision served a dual purpose: create a fast, intuitive experience for property buyers, and build the CRM and lead management tools that agents trust to close deals. Here’s the full user journey we designed.
Smart property search with keyword, location, status & type filters — helping buyers find apartments, villas & more with ease. Built by Primocys.
Explore neighborhoods by category — Apartments, Villas, Hotels & Golem areas. 300+ listed properties with visual guides built by Primocys.
Full property listings with Rent/Buy filters, price tags, beds, baths, sqft, favorites, message & call actions — delivered by Primocys.
Interactive map view showing real-time property locations with listing cards, price pins, message & call actions — built by Primocys.
Property listing, buyer & seller representation, market valuation, property management & investment consulting — all powered by Primocys.
Lika Real Estate’s agent profile dashboard — manage name, email, mobile, office, fax, address & bio with profile photo upload. Built by Primocys.
A premium real estate visual language built to signal trust, quality, and expertise — designed to position Lika as the aspirational choice for serious property buyers and sellers.
Every technology here was chosen for a reason — search, rendering, structured data, location and media — not picked from a generic stack list.
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Several architectural decisions shaped how Lika handles property discovery, search visibility and operational workflows. These choices were made around the needs of the product rather than simply following a fixed technology template.
The public experience benefits from a framework that can support server-rendered or pre-rendered content while still allowing property information to remain dynamic.
A dedicated search layer keeps property filtering and discovery separate from the primary transactional data store.
Property records can be reused across listing pages, filters, search results and administrative workflows instead of being duplicated between interfaces.
Property imagery is handled through object storage and CDN delivery rather than placing heavy media responsibilities on the core application layer.
The customer-facing property experience and operational management functions remain distinct while sharing the same underlying platform data.
A real estate platform also needs tools for the people operating it. Lika’s administrative layer supports the management of property data, users, content and relevant inquiry workflows so routine business operations do not depend on editing the public website directly.
Administrators can work with property records and the structured information used by the public listing experience.
Property inquiries can retain their listing context so teams can understand what a visitor was interested in when following up.
Operational content can be maintained through structured workflows instead of being embedded directly into front-end page templates.
Relevant account and profile information can be managed from the administrative side of the platform.
Business-side reporting can be connected to the operational data available within the application where required.
Property media is kept separate from core listing records so images and other assets can be handled through dedicated cloud infrastructure.
The completed platform brought property discovery, listing management, maps, lead workflows and administrative operations into one real estate product. Primocys delivered the system as an integrated platform rather than a collection of disconnected website pages and third-party tools.
Search, filters, maps and listing pages work as parts of the same browsing journey.
Property information is organized so it can support multiple front-end and administrative experiences.
Property-level actions stay connected to the context required for business follow-up.
The public architecture supports discoverable property and location content while the platform remains dynamic.
The cost of a real estate platform depends less on the number of pages and more on the complexity of property data, search, integrations, administrative workflows and the number of user journeys the system must support. A focused property website and a multi-role PropTech platform require very different levels of engineering.
The number of property types, user roles, account journeys and operational responsibilities directly affects the product scope.
Advanced filters, maps, recommendations, location pages and high-volume property catalogues require a more deliberate search architecture.
MLS/IDX feeds, CRMs, maps, communication tools and other external systems add integration, data-normalization and testing work.
Lead routing, listing management, moderation, analytics and content workflows increase the business-side engineering required behind the public website.
Questions about the Lika build, our real estate website development services, and what it takes to rank and convert on a property platform.
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