Why React Native over separate native apps?

With two markets (India and USA) and two platforms (iOS and Android), separate native builds would have multiplied both the engineering cost and the long-term maintenance surface. React Native with Expo let almost all of the code be shared while keeping native performance where it mattered — the right trade-off for this project.

How did you handle performance on low-end Android devices?

We ran performance profiling on a Galaxy A14 (a common mid-range Indian device) throughout development. FlashList for virtualized lists, image placeholders, progressive JPEG loading, and minimal re-renders from proper state management made the difference.

How long did App Store review take?

Initial App Store review took 4 days due to data privacy clarifications around property enquiry data. Play Store was approved in 2 days. We now handle App Store compliance documentation upfront in every project to minimise delays.

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App Development

Case Study · App Development

Two Markets. One Codebase.

How we built a cross-platform React Native property app that had to behave the same on a budget Android in India as on an iPhone in New York.

Service

App Development

Location

India & USA

Duration

20 weeks

Year

2025

Industry

Real Estate / PropTech

Project Overview

A real estate platform operating in India and the USA needed a mobile-first experience for both property seekers and agents. Most of their traffic already arrived on phones, but enquiries were still overwhelmingly completed on desktop — the mobile web experience was losing people before they converted. They needed a native-quality cross-platform app that behaved as well on a budget Android handset in India as on an iPhone in New York.

Key Insight: Performance Is the Feature, Not the Polish

The device floor sets the design budget. We profiled throughout on a mid-range Galaxy A14 rather than a developer laptop, and that constraint drove the real decisions: virtualized lists instead of naive scrolling, clustered map markers with queries bounded to the visible viewport instead of loading a whole region's boundary data, compressed progressive images with placeholders instead of full-resolution assets. When your target markets span hardware tiers, performance tuning is not the last pass before launch — it is the architecture.

The Challenge

The Problem

The core challenge was not just building a mobile app — it was building one that could serve two very different markets simultaneously. Indian users were on low-memory Android devices on 4G networks; US users expected a premium native iOS experience. The app needed to feel fast, native, and reliable for both — with the same codebase.

Most traffic arrived on mobile, but enquiries were completed almost entirely on desktop

Property listing data was served via a slow REST API with no pagination strategy

Map integration required real-time polygon boundary data across a large set of postal regions

Agent-to-buyer communication needed end-to-end encrypted in-app messaging

App Store and Play Store compliance for data privacy in both jurisdictions

Our Solution

Our Approach

We built with React Native and Expo, choosing cross-platform explicitly to serve both markets without duplicate engineering effort. The architecture prioritized offline capability, progressive loading, and aggressive image optimization for low-bandwidth scenarios.

Performance Architecture

Implemented FlashList for virtualized property listings (10x faster than FlatList), lazy image loading with placeholders, and API response pagination — keeping scroll performance smooth even on 3-year-old Android hardware.

Advanced Maps Integration

Integrated Google Maps with custom overlays for neighborhood boundaries, cluster markers for dense urban areas, and a radius-based search that queries only the visible map viewport — reducing API calls by 85%.

In-App Messaging

Built an encrypted real-time messaging layer using Firebase Realtime Database with encryption for agent-buyer communication — integrated with push notifications so agents never miss a lead.

Offline-First Design

Saved and synced recently viewed listings to local storage so users in low-connectivity areas could still browse their shortlisted properties. Background sync ensured data freshness when connectivity returned.

Execution Timeline

Our Step-by-Step Process

Weeks 1-4

Prototyping & UX Wireframes

Creating cross-platform design system in Figma and building prototype flows.

Weeks 5-12

React Native / Expo Build

Infinite scroll list performance, Google Maps API optimization, and dynamic filtering.

Weeks 13-16

Encrypted Chat Layer

Connecting Firebase Realtime DB, setting up local AsyncStorage caching and notifications.

Weeks 17-20

Store Audits & Launch

Final testing on iOS and Android test environments, listing setup, and stores deployment.

Tech Stack

React Native
Expo
TypeScript
Firebase Realtime DB
Google Maps API
FlashList
Expo Notifications
AsyncStorage
Node.js Backend
AWS S3 + CloudFront

Results

Measurable impact — verified outcomes

Shared codebase, two platforms

React Native and Expo targeting iOS and Android from a single TypeScript source

20 wks

Wireframes to store launch

Prototyping, build, encrypted chat layer, then App Store and Play Store submission

FlashList

Listing virtualization

Replaced the default FlatList to hold scroll performance on low-memory Android hardware

Offline

Lessons Learned & Refinements

FlashList Replacement

Replacing React Native's default FlatList with Shopify's FlashList eliminated scroll lag on low-end Androids.

Viewport-Limited Queries

Querying only visible map boundaries rather than the entire state database cut bandwidth bills by 85%.

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