Mobile Development

Hire Mobile Developers
With Analyzed Code + Published Apps

iOS, Android, React Native developers with apps on the App Store.

We're building analysis of their code (TypeScript usage, architecture, performance patterns) to show alongside their public app links, so you can review real work before you interview. Rolling out soon.

Find Mobile Developers
iOS · Android · RN
Platforms
native and cross-platform
App Store
Linked Apps
public links on profiles
Code + Apps
What You'll See
published work plus analysis
Coming Soon
Code Analysis
rolling out for mobile roles

How We'll Know They're Good

Static analysis plus LLM review of their actual code—real patterns from their repos, not resume claims. This analysis is in development and rolling out soon.

Code Quality

Type safety
TypeScript/Kotlin usage, strict mode
Code organization
Feature-first vs domain structure
Code duplication
Duplicate code blocks, similar functions
Error handling
Try-catch coverage, null checks

Security & Best Practices

Secrets in code
API keys, tokens hardcoded
Dangerous patterns
dangerouslySetInnerHTML, eval usage
Permission handling
Runtime permissions, info.plist
Data validation
Input sanitization, schema validation

Performance

Bundle optimization
Code splitting, tree shaking
Memory management
Retain cycles, bitmap handling
Async patterns
Proper async/await, background threads
List rendering
FlatList optimization, RecyclerView

The analysis is fully automated. It will run ESLint, the TypeScript compiler, bundle analyzers, and security scanners, then have an LLM review patterns to gauge seniority. Rolling out for mobile roles soon.

What an Analyzed Profile Will Show

An illustrative example of how a profile will combine linked apps with code analysis once it rolls out. The figures below are samples for illustration, not real candidates.

iOS Engineer
Native Swift / SwiftUI (example)
Fitness tracking app
SwiftSwiftUICore DataHealthKit
Illustrative
Downloads 2M+
Rating 4.8 ⭐
Reviews 45K
Updated 2 weeks ago
Code Score: 92/100 illustrative

Uses Swift 5.9 with async/await throughout

Proper memory management - no retain cycles detected

HealthKit integration follows Apple guidelines

Error handling in 98% of network calls

React Native Engineer
Cross-platform lead (example)
Food delivery marketplace
React NativeTypeScriptReduxMaps API
Illustrative
Downloads 500K+
Rating 4.6 ⭐
Reviews 12K
Updated 1 week ago
Code Score: 88/100 illustrative

TypeScript strict mode enabled across entire codebase

Implements lazy loading - initial bundle only 180KB

Custom native modules for maps and camera

85% test coverage with meaningful tests

Android Engineer
Kotlin / Jetpack (example)
Social networking app
KotlinJetpack ComposeRoomRetrofit
Illustrative
Downloads 1M+
Rating 4.7 ⭐
Reviews 28K
Updated 5 days ago
Code Score: 90/100 illustrative

Migrated 45K LOC from Java to Kotlin over 8 months

Jetpack Compose with proper state hoisting

Implements WorkManager for background sync

Image loading optimized - uses Coil with caching

How We Determine Seniority from Code

These patterns are detectable through static analysis and LLM review rather than self-reported. Code analysis is rolling out for mobile roles soon.

Junior

< 70

Inconsistent error handling

Large components (500+ lines)

Direct API calls in components

No code splitting

Mixed naming conventions

Mid

70-84

Consistent error boundaries

Modular component structure

Service layer for API calls

Some dynamic imports

TypeScript with basic types

Senior

85+

Comprehensive error handling

Clean architecture patterns

Abstracted API layer with retry logic

Optimized bundle splitting

TypeScript strict mode + generics

📊 We Also Track Evolution

By analyzing commit history, the analysis will show whether code quality improved over time:

  • • Error/LOC ratio trending down
  • • Refactoring patterns (moving toward better architecture)
  • • Test coverage increasing
  • • TypeScript adoption in JavaScript projects

🔍 Mobile-Specific Analysis

For mobile apps, the analysis will detect platform-specific patterns:

  • • Memory management (retain cycles in iOS)
  • • Proper async handling on main thread
  • • Image optimization and caching
  • • Battery-efficient location tracking

What You'll See When Hiring Through TalentProfile

Traditional Resume
Mobile Developer
3 years experience
• "Expert in React Native and TypeScript"
• "Strong code quality practices"
• "Built scalable mobile applications"
• "Performance optimization experience"
❓ Do they actually use TypeScript?
❓ What does "strong code quality" mean?
❓ How many users have their apps?
❓ Can we see their actual code patterns?
TalentProfile Illustrative
Mobile Developer
Score: 88/100
3 years experience
Published App (example)
240K downloads • 4.6⭐ (3.2K reviews)
Last updated: 1 week ago
TypeScript strict mode: enabled
Bundle size: 180KB (lazy loading implemented)
Test coverage: 85%
Error handling: consistent (98% of async calls)
✓ Illustrative example of the planned profile view
✓ Code analysis rolling out soon
✓ Patterns from static analysis + LLM
📊

Objective metrics

Not "strong coding skills"—actual TypeScript usage, bundle sizes, and test coverage from their repos, once analysis rolls out.

⚡

Skip the guessing

See their published apps and, soon, code-quality analysis before interviewing—so screening takes far less time than reading resumes.

🎯

Better matches

Filtering by actual patterns is coming: e.g. "developers who use TypeScript strict mode with high test coverage."

Developer Pool by Platform

📱
iOS Developers
Native Swift / SwiftUI
Patterns we'll analyze:
• Swift 5.9+, async/await adoption
• Memory management (ARC, no cycles)
• SwiftUI state management patterns
🤖
Android Developers
Kotlin / Jetpack
Patterns we'll analyze:
• Kotlin coroutines for async
• Jetpack Compose adoption
• Proper lifecycle handling
⚛️
React Native Devs
Cross-platform
Patterns we'll analyze:
• TypeScript strict mode enabled
• Bundle optimization (code splitting)
• Custom native modules

See Their Code Quality Before You Interview

Mobile developers with public apps, plus code analysis rolling out soon

Filtering by TypeScript usage, test coverage, bundle optimization and more is coming, all automatically detected.

Drop Your Job Description
Automated analysis
ESLint + TypeScript + LLM review
Linked apps
Public app links on profiles
Objective metrics
Not resume claims, actual patterns