10 Tips to Reduce Mobile App Startup Time

Want your app to launch faster? Here's how to make it happen:

Keep the Main Thread Clear: Run heavy tasks like network calls and image processing in the background to keep your app's UI responsive.
Load SDKs Later: Only load essential SDKs at launch; defer non-critical ones like social media integrations.
Use Lazy Loading: Load images, data, and UI components only when needed instead of all at once.
Manage Resources Better: Compress images, optimise assets, and use smart caching to reduce load times.
Cut Down Network Calls: Batch API requests, cache data locally, and minimise unnecessary online dependencies.
Use Platform Tools: Take advantage of tools like Android Baseline Profiles and iOS Instruments to optimise startup.
Reduce App Size: Shrink your app by removing unused code, compressing resources, and using dynamic delivery.
Fix Memory Issues: Avoid memory leaks by managing resources efficiently and cancelling unused background tasks.
Speed Up Screen Loading: Simplify layouts, defer heavy initialisation, and use placeholders for faster rendering.
Track and Improve: Monitor startup metrics regularly and adjust based on performance data.

Quick Comparison

Tip	Key Action	Tools/Methods Used
Keep the Main Thread Clear	Shift heavy tasks to background	Kotlin Coroutines, Thread Management
Load SDKs Later	Defer non-critical SDKs	Xcode Instruments, Android Profiler
Use Lazy Loading	Load resources only when needed	Asynchronous Loading, Kotlin/Swift Examples
Manage Resources Better	Optimise assets, use caching	DiskLruCache, WebP Images, HTTP Caching
Cut Down Network Calls	Batch API calls, cache data	Local Caching, Swift/Android Examples
Use Platform Tools	Optimise with platform-specific tools	Android Baseline Profiles, iOS Instruments
Reduce App Size	Shrink code, optimise resources	ProGuard, Dynamic Feature Delivery
Fix Memory Issues	Avoid leaks, manage memory	LeakCanary, Instruments
Speed Up Screen Loading	Simplify layouts, defer tasks	ViewStub, LifecycleScope
Track and Improve	Monitor and optimise regularly	Performance Dashboards, Automated Tests

Start applying these tips today to make your app faster and keep users happy!

Reducing App Launch Times: From Diagnostics to Optimization

What is App Startup Time?

App startup time is the period between tapping an app icon and the moment the app becomes usable.

Types of App Starts

The way an app starts can vary, and each type has its own impact on performance:

Start Type	Description	Typical Duration
Cold Start	Launches from scratch with no cached data	2–5 seconds
Warm Start	Restarts with some cached processes available	1–2 seconds
Hot Start	Resumes from a background state	Under 1 second

Each start type influences the app's performance and user experience differently.

Measuring Startup Performance

Developers can use built-in tools for both iOS and Android to measure how long it takes for an app to start.

iOS Tools:

Xcode Instruments: Helps analyse timing during the startup process.
MetricKit: Gathers performance data from real-world usage.
System Trace: Identifies potential bottlenecks in the startup sequence.

Android Tools:

Android Studio's CPU Profiler: Tracks performance during startup.
Android Vitals: Available in the Play Console for monitoring app health.
SystemTrace: Offers detailed startup analysis.

Key Metrics to Monitor

When evaluating how quickly an app starts, focus on these important phases:

Initial Display Time: Measures how long it takes for the first pixels to appear on the screen.
Time to Interactive: Tracks when the app becomes responsive to user input.
Full Load Time: Captures the total time needed to fully load all resources.

It's important to test on various devices and operating systems since performance can vary significantly depending on the hardware and software.

What Affects Startup Speed

When it comes to your app's startup speed, several factors come into play. These vary depending on the hardware, operating system, and even network conditions across Australia's range of devices and environments.

Hardware Capabilities

The performance of your app can differ significantly based on the device's hardware. Here's a breakdown of the key components:

Component	Impact on Startup	Performance Factor
CPU Speed	High	Determines how quickly code is executed and resources are processed.
RAM	High	Affects how efficiently the app loads and manages memory.
Storage Type	Medium	Impacts the speed of accessing resources.
Device Age	Medium	Older devices may struggle compared to newer models.

Operating System Variations

Different operating system versions and customisations also play a significant role in app performance.

iOS Factors:

System-level optimisations vary between versions, influencing app behaviour.
API availability can limit or enhance resource access.
Handling of background processes differs across iOS updates.

Android Factors:

Manufacturer-specific customisations can impact how the app performs.
The wide variety of Android OS versions means optimisation must cover a broad range.
Some devices may require specific hardware-related adjustments.

Key Technical Considerations

Beyond hardware and OS, the internal workings of your app are just as crucial in determining startup speed.

Thread Management

Keep your UI updates on the main thread while shifting heavy tasks, like data processing or background operations, to separate threads. This improves responsiveness during startup.

Resource Loading

Efficiently managing resources during launch is essential. Focus on:

Loading app assets and configurations.
Establishing database connections.
Handling network requests efficiently.
Initialising third-party SDKs without delays.

Memory Management

Poor memory handling can slow down startup times. Watch out for:

Overloading memory during launch.
Inefficient use of caching mechanisms.
Resource leaks that consume unnecessary memory.
Background processes interfering with startup performance.

Network Conditions

Australia's varied network infrastructure can also impact app startup, especially if your app relies on online resources to launch. Key factors include:

Differences in connection speeds across urban and regional areas.
Timing of network requests during startup.
Strategies for caching resources to reduce reliance on live data.
Implementing offline launch options for smoother performance.

Performance Monitoring

To truly understand your app's startup performance, you need to monitor it under various conditions. Here's what to track:

Monitoring Aspect	Key Metrics	Tools
Launch Time	Initial display time, Time to interactive	Android Profiler, Xcode Instruments
Resource Usage	Memory consumption, CPU utilisation	System monitoring tools
Network Impact	Request timing, Data transfer	Network analysis tools

1. Keep the Main Thread Clear

The main thread is responsible for rendering the user interface (UI). If it gets bogged down with heavy tasks, your app's launch will be delayed, and users may experience frozen interactions. Efficient thread management is key to ensuring your app launches smoothly and runs seamlessly.

Understanding Thread Management

The main thread's job is to handle the user interface. Here's how different tasks affect startup performance:

Task Type	Thread Placement	Effect on Startup
UI Updates	Main Thread	Directly impacts responsiveness
Network Calls	Background Thread	Keeps the interface fluid
Database Operations	Background Thread	Avoids launch delays
Image Processing	Background Thread	Improves initial display speed

Implementing Background Operations

To keep the main thread clear and improve startup times, shift these tasks to background threads:

Network Operations: Run tasks like API initialisation, syncing data, downloading configurations, and user authentication on background threads. This ensures the UI remains responsive.
Resource Loading: Move database queries, updates, and image processing to the background. This reduces bottlenecks during launch.
Startup Sequence: Prioritise loading essential UI elements first. Defer non-critical tasks by using asynchronous operations, so they don't slow down the initial user experience.

2. Load SDKs Later

To speed up your app's launch, delay loading SDKs that aren't immediately necessary. This approach keeps your app functional while reducing initial load times.

Prioritising SDK Loading

It's essential to distinguish between SDKs that are crucial at launch and those that can wait until after the app's interface is ready.

SDK Type	Loading Time	Examples
Critical	At Launch	Authentication, Core Analytics
Non-Critical	Post-Launch	Social Media Integration, Push Notifications

How to Defer SDK Loading

Load Critical SDKs First
Ensure only the most important SDKs, like authentication or essential analytics, are loaded during the app launch.
Use Background Initialisation
Set up non-critical SDKs to load asynchronously after the app's user interface becomes available. This ensures they don't interfere with the initial user experience.

Tracking Performance Improvements

To see how this change impacts your app's startup time, take advantage of platform-specific tools:

iOS: Use Xcode's performance tools to monitor and optimise startup behaviour.
Android: Analyse startup performance with Android Studio's CPU Profiler.

3. Use Lazy Loading

Lazy loading delays the loading of resources until they're actually needed, reducing startup time. Like deferring SDK loads, it avoids unnecessary initialisation, improving performance. This technique is useful for images, data, and UI components.

How Lazy Loading Works

Lazy loading ensures only the essential resources for the initial view are loaded upfront. Everything else is fetched as required.

Resource Type	Traditional Loading	Lazy Loading
Images	All images load during startup	Images load as the user scrolls
Data	Entire dataset fetched at once	Data loads incrementally per screen
UI Components	All components initialised upfront	Components load only when needed

Key Areas for Lazy Loading

Here’s how you can apply lazy loading effectively:

Image Loading
Avoid loading all images at once. Instead, load them progressively as users scroll through the content.
Data Fetching
Instead of fetching the entire dataset upfront, retrieve data in smaller chunks based on user interactions. This keeps resource usage efficient without delaying essential tasks.
UI Components
Hold off on initialising complex UI elements until they're required. This reduces the load on the app during startup.

Tips for Asynchronous Loading

To make lazy loading even more effective, use asynchronous methods to load resources in the background. Here’s an example in Kotlin:

private fun loadImage(imageUrl: String) {
    CoroutineScope(Dispatchers.IO).launch {
        // Load image asynchronously
        val bitmap = loadBitmapFromUrl(imageUrl)
        withContext(Dispatchers.Main) {
            // Update UI with the loaded image
            imageView.setImageBitmap(bitmap)
        }
    }
}

Why It Matters

Lazy loading can dramatically improve initial load times, especially for apps packed with content. By focusing on what users need immediately, you streamline performance and create a smoother experience.

4. Manage Resources Better

Once you've tackled thread management and SDK loading, the next step to improving startup performance is efficient resource management. This builds on techniques like lazy loading to further optimise how your app starts up.

Asset Optimisation

Streamlining assets is essential for faster startup. Here are some effective strategies for different asset types:

Asset Type	Optimisation Strategy
Images	Convert to WebP format for smaller file sizes
Fonts	Stick to system fonts to avoid extra loading time
Videos	Stream content instead of bundling it with the app
JSON Files	Minify and compress data to reduce size

Smart Caching Implementation

Caching is a powerful way to speed up repeated startups by storing frequently accessed resources. Here’s how to do it:

Memory Cache: Store small, frequently used resources directly in memory for quick access.

Disk Cache: Save larger resources to persistent storage. For example, in Kotlin:

val cache = DiskLruCache.Builder()
    .setMaxSize(50 * 1024 * 1024) // 50MB cache
    .setMaxAge(7, TimeUnit.DAYS)
    .build()

Network Cache: Use HTTP caching headers to reduce unnecessary network calls. For instance, in Swift:

let config = URLSessionConfiguration.default
config.requestCachePolicy = .returnCacheDataElseLoad
config.urlCache = URLCache(memoryCapacity: 10_485_760, // 10MB
                         diskCapacity: 104_857_600) // 100MB

Resource Loading Prioritisation

Not all resources are equally important at startup. Load them in the following order to keep things smooth:

Essential UI components and layouts – Make the interface usable as quickly as possible.
Core functionality resources – Load what the app needs to function.
Secondary features and assets – Add extras that improve the experience.
Optional enhancements – Load non-critical features last.

Compression Techniques

Compressing resources can also give a performance boost. Tailor compression methods to the type of data:

Images: Use formats like progressive JPEG for photos and SVG for icons.
Text Assets: Apply GZIP to formats like JSON, XML, and plain text.
Binary Data: Compress app-specific binary files to save space.

These strategies, when combined, can significantly improve your app's startup time while maintaining a smooth user experience.

5. Cut Down Network Calls

Network calls can slow down app startup. Efficient networking practices help minimise these delays.

Smarter Request Management

Approach	How It Works	Benefit
Request Batching	Group multiple API calls into one request	Cuts down connection overhead
Local Caching	Save frequently used data on the device	Reduces unnecessary network calls

Using these strategies alongside proper resource handling can significantly improve startup times.

Implement Caching

Here's an example of a caching mechanism in Swift:

class NetworkCache {
    static let shared = NetworkCache()
    let cache = NSCache<NSString, AnyObject>()

    func fetchData(key: String) -> Data? {
        return cache.object(forKey: key as NSString) as? Data
    }

    func saveData(_ data: Data, key: String) {
        cache.setObject(data as AnyObject, forKey: key as NSString)
    }
}

This type of caching works hand-in-hand with API call optimisation to reduce delays during startup.

Optimise API Calls

Prioritise loading only the most essential data during startup.
Bundle related requests into a single call to reduce overhead.
Use techniques like data bundling to streamline the number of network connections.

Cache Invalidation Strategy

Ensure your caching system stays efficient by using a proper invalidation strategy. Here's an example in Kotlin:

val cacheConfig = CacheConfig.Builder()
    .setMaxAge(24, TimeUnit.HOURS)
    .setRevalidatePeriod(1, TimeUnit.HOURS)
    .build()

This setup ensures cached data is refreshed periodically, maintaining both accuracy and performance.

Monitor Network Activity

Tracking and analysing network activity during startup is essential for fine-tuning performance. Here's an example in Swift:

class NetworkMonitor {
    static func logStartupCalls() {
        let startTime = Date()
        NotificationCenter.default.addObserver(forName: .NetworkCallComplete) { _ in
            let duration = Date().timeIntervalSince(startTime)
            print("Call completed: \(duration)s")
        }
    }
}

6. Use Platform Tools

Both Android and iOS offer tools to help improve app startup times. These tools build on techniques like thread management and resource loading to further reduce delays during app launch.

Android Baseline Profiles

Android Baseline Profiles allow precompilation of essential code paths, making app launches faster. Here's an example configuration:

android {
    baselineProfiles {
        automaticGeneration {
            enabled = true
            profileBlock {
                warmup("com.example.app.MainActivity")
                trace("app_startup")
            }
        }
    }
}

This method works alongside other strategies to optimise your app's startup performance.

iOS Launch Time Optimisation

On iOS, using precompiled assets and launch storyboards can significantly reduce load times. For example:

// AppDelegate.swift
func application(_ application: UIApplication,
                 didFinishLaunchingWithOptions launchOptions: [UIApplication.LaunchOptionsKey: Any]?) -> Bool {
    // Pre-warm critical components
    PrewarmManager.shared.warmUpCriticalPaths()
    return true
}

These steps ensure smoother app launches by reducing initial loading overhead.

Platform-Specific Performance Tools

Both platforms provide specialised tools to analyse and enhance startup performance. Here's a quick overview:

Platform	Tool	Purpose
Android	Android Studio CPU Profiler	Analyses performance
Android	Baseline Profile Generator	Optimises compilation
iOS	Instruments	Measures launch times
iOS	Asset Catalogs	Manages resources efficiently

Implementation Best Practices

Focus on generating baseline profiles for critical startup paths.
Test performance improvements across a variety of devices, including older models.

Integrating these tools and practices can significantly improve app responsiveness. At Cybergarden, these methods are a core part of delivering smooth and efficient mobile experiences.

7. Reduce App Size

A large app size can slow down startup times due to increased resource loading. Reducing your app's size is a key step in improving startup performance.

Code Optimisation

Use code shrinkers to remove unnecessary code and resources. Here's an example of how to configure this in your build.gradle file:

android {
    buildTypes {
        release {
            minifyEnabled true
            shrinkResources true
            proguardFiles getDefaultProguardFile('proguard-android.txt')
        }
    }
}

Dependency Analysis

Review your app's dependencies and take action where needed:

Action	Priority
Remove unused dependencies	Required
Replace heavy libraries	Optional
Optimise image assets	Required
Use dynamic feature delivery	Optional

Once you've refined your code and dependencies, the next step is to optimise your app's assets.

Asset Management

You can reduce app size further by managing assets effectively. Here are some practical steps:

Image Compression: Convert images to the WebP format for smaller file sizes compared to PNG.
Vector Graphics: Use vector drawables instead of bitmaps whenever possible.
Resource Variants: Include only the resource variations necessary for the devices you support.

Dynamic Feature Delivery

Dynamic feature delivery allows you to reduce the initial app download size by deferring certain features until they are needed. Here's an example of how to implement it:

// Dynamic feature module implementation
splitInstallManager.deferredInstall(Arrays.asList("feature_module"))

After implementing dynamic delivery, assess how much this has reduced your app's size.

Size Impact Analysis

To measure the effect of your changes on app size, use built-in tools like this command:

./gradlew :app:measureApkSize

Resource Optimisation Tips

Here are additional tips to ensure your app size remains manageable:

Use app bundles to optimise distribution.
Compress native libraries to reduce their size.
Implement targeted resource delivery to avoid including unnecessary resources.

8. Fix Memory Issues

Memory leaks can slow down startup processes by using resources that should be available right away.

Tools for Analysing Memory

Here are some tools to help identify memory leaks:

Platform	Tool	Purpose
Android	Memory Profiler	Tracks memory allocation in real-time
Android	LeakCanary	Detects memory leaks automatically
iOS	Instruments	Analyses memory leaks and allocation

Common Causes of Memory Leaks

Memory problems often arise from:

Failing to release views, bitmaps, and other resources
Leaving event listeners registered
Static variables holding onto contexts
Background tasks that aren't cancelled

Fixing these issues is essential for better memory use and faster app launches.

Best Practices for Implementation

Here’s an example of how to handle bitmap resources properly:

// Properly managing bitmap resources
private var bitmap: Bitmap? = null

override fun onDestroy() {
    super.onDestroy()
    bitmap?.recycle()
    bitmap = null
}

Techniques to Optimise Memory

Here are some practical ways to address memory issues:

Resource Management
Free up resources like database connections, images, and network operations as soon as you're done using them.
Static Reference Handling
Avoid storing activity or view contexts directly. Instead, use weak references:
```
private val weakContext = WeakReference<Context>(context)
```

Managing Background Tasks
Make sure to cancel tasks that consume memory during lifecycle changes:

private val coroutineScope = CoroutineScope(Dispatchers.Main)

override fun onDestroy() {
    super.onDestroy()
    coroutineScope.cancel()
}

Strategies for Memory Management

To avoid memory leaks, consider these steps:

Run automated leak detection as part of your CI/CD pipeline.
Perform regular memory audits to catch issues early.
Review object lifecycles during code reviews.
Test memory behaviour on various devices.
Use profiling tools and integrate automated leak detection into your development process.

9. Speed Up Screen Loading

Improving memory and resource management is just the start - streamlining screen rendering can take your app's launch performance to the next level. Faster screen loading directly impacts how quickly users can interact with your app. By refining layouts and UI components, you can make screen rendering significantly faster.

Layout Optimisation Techniques

To optimise layouts and improve rendering speed:

Use ConstraintLayout for handling complex UI designs efficiently.
Replace deeply nested view groups with simpler, flatter structures.
Minimise unnecessary view nesting, as it increases rendering complexity and slows down performance.

Every additional layer in your layout adds to rendering time, so keeping it simple is key.

Component Initialisation Strategies

Once you've optimised your layouts, focus on how you initialise UI components. Efficient initialisation can further reduce loading delays:

1. Implement the View Holder Pattern

This pattern helps reduce memory usage and improves recycling of view components. Here's an example:

class ViewHolder(itemView: View) {
    private val titleView: TextView = itemView.findViewById(R.id.title)
    private val imageView: ImageView = itemView.findViewById(R.id.image)

    fun bind(data: ItemData) {
        titleView.text = data.title
        imageView.setImageResource(data.imageRes)
    }
}

2. Defer Heavy Initialisation

Move intensive tasks off the main thread to avoid slowing down the UI. For example:

lifecycleScope.launch(Dispatchers.IO) {
    // Perform resource-heavy tasks
    val result = loadComplexData()

    withContext(Dispatchers.Main) {
        // Update UI with the results
        updateInterface(result)
    }
}

3. Use ViewStub for Conditional Layouts

For layouts that aren't immediately needed, use ViewStub to load them only when required:

<ViewStub
    android:id="@+id/stub_import"
    android:inflatedId="@+id/panel_import"
    android:layout="@layout/progress_overlay"
    android:layout_width="match_parent"
    android:layout_height="wrap_content" />

Performance Monitoring Tools

These tools can help you measure and refine your optimisation efforts:

Tool	Platform	Key Features
Layout Inspector	Android	Analyses view hierarchy in real time
View Debugger	iOS	Provides visual debugging for layouts
Systrace	Android	Tracks detailed UI operation timings

Integrating these tools into your workflow ensures that your optimisations are effective and measurable.

Best Practices for Implementation

To maintain a fast and smooth startup experience, consider these practices:

Pre-fetch data before navigating to the screen.
Use placeholder content to keep the UI responsive while loading.
Implement progressive loading for complex interfaces.
Cache resources that are frequently accessed.
Leverage hardware acceleration whenever possible.

10. Track and Improve

Keep an eye on performance metrics to maintain fast app startup times.

Setting Up Performance Monitoring

Use automated tools to track these key metrics:

Metric	Target Range	Monitoring Frequency
Cold Start Time	< 2 seconds	Weekly
Warm Start Time	< 1 second	Weekly
Main Thread Load	< 500ms	Daily
Memory Usage	< 100MB	Daily

Strategies for Ongoing Improvement

Take a structured approach to refine performance, revisiting it on a weekly basis.

1. Weekly Performance Reviews

Dedicate time to assess performance metrics each week by:

Analysing startup time trends
Pinpointing performance bottlenecks
Reviewing crash logs
Considering user feedback

2. Optimising with Data

Use collected performance data to guide your updates. For example:

class StartupMetrics {
    fun trackStartupPhase(phase: String) {
        val startTime = System.nanoTime()
        // Execute startup phase
        val duration = System.nanoTime() - startTime
        logMetric("startup_$phase", duration)
    }
}

3. Monitoring User Experience

Measure how the app performs in users' hands:

class UserExperienceTracker {
    fun monitorStartup() {
        measureStartupTime()
        trackMemoryUsage()
        monitorNetworkCalls()
        reportMetrics()
    }
}

Tips for Effective Monitoring

Set up alerts for unusual performance changes
Use staged rollouts for major updates to minimise risks
Maintain a performance dashboard for a clear overview
Document the effects of your optimisations
Schedule regular review meetings to keep everyone aligned

Benchmarking Performance

Use this table to set benchmarks and identify when action is needed:

Performance Aspect	Baseline	Warning Threshold	Critical Threshold
Total Startup Time	1.5s	2.0s	2.5s
Initial Memory	75MB	90MB	100MB
UI Thread Blocks	0	1	2+

These benchmarks help you link past optimisation efforts with current monitoring outcomes.

Automating Performance Tests

Incorporate automated tests to ensure startup times stay within acceptable limits:

@Test
fun testStartupPerformance() {
    val startTime = System.currentTimeMillis()
    launchApp()
    val endTime = System.currentTimeMillis()

    assert(endTime - startTime < STARTUP_THRESHOLD) {
        "Startup time exceeded threshold"
    }
}

Add these tests to your CI/CD pipeline to consistently validate app performance over time. This ensures that any issues are caught early and resolved quickly.

Performance Comparison

Improving mobile app startup time involves strategies like thread management and lazy loading. The goal is to balance fast launch times with efficient resource use. Developers need to weigh how different approaches influence startup performance, memory usage, development complexity, and user experience.

Choices around loading libraries - whether static, deferred, or modular - can impact both launch speed and resource demands. Similarly, resource loading methods come with trade-offs between quick initial responsiveness and added complexity during operation. Techniques such as code minification, image compression, and network optimisation also play a role, but each comes with its own set of pros and cons.

Since platforms behave differently, thorough testing is essential to maintain consistent performance across devices. At Cybergarden (https://cybergarden.au), we rely on data-driven methods to fine-tune startup speed while managing resource consumption, ensuring high-quality mobile applications. These decisions form the foundation for a more detailed performance analysis later on.

Summary

Improving mobile app startup time involves consistent effort and regular checks. As apps grow with updates and new features, keeping launch times quick is key to keeping users happy.

At Cybergarden, we focus on creating apps that load quickly. Our approach includes tracking startup metrics, running performance reviews, using data to guide decisions, and leveraging the latest performance tools.

This process is ongoing - spotting and fixing performance issues before they affect users. By addressing challenges early in each sprint, from managing resources to optimising lazy loading, we ensure smooth launches and efficient use of resources. This not only improves performance but also keeps users satisfied.

With Cybergarden's sprint-based development and weekly updates, we ensure consistent performance across all devices, helping to maintain fast startup times throughout the app's lifecycle.

FAQs

What are the best ways to monitor my mobile app's startup performance over time?

To effectively monitor your app's startup performance, you can use tools like performance monitoring software or analytics platforms to track key metrics such as cold start time, warm start time, and resource usage. These tools often provide insights into trends and potential bottlenecks.

Additionally, consider implementing custom logging within your app to measure startup events and durations. Regularly reviewing these logs and comparing them against benchmarks will help you identify areas for improvement. Keeping an eye on user feedback can also provide valuable insights into any performance issues.

What common mistakes can slow down a mobile app's startup time?

Several common mistakes can significantly impact a mobile app's startup time. These include:

Loading too many resources upfront: Initialising large libraries or loading excessive data during startup can delay the app's responsiveness.
Unoptimised code: Poorly structured or inefficient code can lead to unnecessary processing, increasing load time.
Neglecting asynchronous operations: Performing time-consuming tasks synchronously during startup, such as network requests or database queries, can cause delays.

To improve performance, focus on optimising code, deferring non-critical tasks, and only loading essential resources during the initial launch.

How does lazy loading enhance the user experience in mobile apps?

Lazy loading improves mobile app performance by only loading essential resources during startup, deferring non-critical elements until they are needed. This reduces initial load times, allowing users to access the app faster and start interacting with key features without delay.

By minimising the amount of data processed at launch, lazy loading also reduces memory usage and improves responsiveness, which is particularly beneficial for devices with limited resources or slower internet connections. This approach ensures a smoother and more seamless experience for users.