TalentProfile
Mobile Development

Hire Mobile Developers
With Analyzed Code + Published Apps

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

We analyze their code (TypeScript usage, architecture, performance patterns) and verify their app ratings before you interview.

Find Mobile Developers
2,400+
Developers
with analyzed code
850+
Published Apps
verified on stores
4.6
Avg. Rating
from real users
89
Avg. Code Score
from static analysis

How We Know They're Good

Static analysis + LLM review of their actual code. Not claims on a resume—real patterns we detect in their repos.

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

All analysis is automated. We run ESLint, TypeScript compiler, bundle analyzers, and security scanners. Then LLM reviews patterns to determine seniority level.

Developers with Verified Apps + Analyzed Code

Real apps on the App Store + code analysis showing their actual patterns and quality.

Jenny C.
Senior iOS Engineer
Fitness tracking app
SwiftSwiftUICore DataHealthKit
Verified
Downloads 2M+
Rating 4.8 ⭐
Reviews 45K
Updated 2 weeks ago
Code Score: 92/100 from static analysis

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

Michael R.
React Native Lead
Food delivery marketplace
React NativeTypeScriptReduxMaps API
Verified
Downloads 500K+
Rating 4.6 ⭐
Reviews 12K
Updated 1 week ago
Code Score: 88/100 from static analysis

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

Alex K.
Android Engineer
Social networking app
KotlinJetpack ComposeRoomRetrofit
Verified
Downloads 1M+
Rating 4.7 ⭐
Reviews 28K
Updated 5 days ago
Code Score: 90/100 from static analysis

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 + LLM review. Not self-reported—actually measured.

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, we can see if their 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, we 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 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
Mobile Developer
Score: 88/100
3 years experience
Published App
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)
✓ All stats verified from App Store API
✓ Code analysis from actual repos
✓ Patterns detected via static analysis + LLM
📊

Objective metrics

Not "strong coding skills"—actual TypeScript usage, bundle sizes, test coverage percentages from their repos.

⚡

Skip the guessing

See their published apps AND code quality before interviewing. Screening 50 profiles takes 30 minutes instead of 3 hours.

🎯

Better matches

Filter by actual patterns: "Show me developers who use TypeScript strict mode and have 80%+ test coverage."

Expanding to Thailand? Set up right.

Company registration, BOI promotion, foreign ownership — full legal compliance from day one.

Set up your entity

Developer Pool by Platform

📱
1,050+
iOS Developers
Avg. score: 86/100
Common Patterns Detected:
• Swift 5.9+, async/await adoption
• Memory management (ARC, no cycles)
• SwiftUI state management patterns
🤖
980+
Android Developers
Avg. score: 84/100
Common Patterns Detected:
• Kotlin coroutines for async
• Jetpack Compose adoption
• Proper lifecycle handling
⚛️
720+
React Native Devs
Avg. score: 87/100
Common Patterns Detected:
• TypeScript strict mode enabled
• Bundle optimization (code splitting)
• Custom native modules

See Their Code Quality Before You Interview

2,400+ developers with verified apps + analyzed code

Filter by TypeScript usage, test coverage, bundle optimization, and more. All automatically detected.

Drop Your Job Description
Automated analysis
ESLint + TypeScript + LLM review
Verified apps
Real ratings from App Store API
Objective metrics
Not resume claims, actual patterns