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 DevelopersHow 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
Security & Best Practices
Performance
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.
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
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
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
< 70Inconsistent error handling
Large components (500+ lines)
Direct API calls in components
No code splitting
Mixed naming conventions
Mid
70-84Consistent 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
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."
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Developer Pool by Platform
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.