How can Venelx be 10x faster than EAS or Codemagic?

Traditional CI/CD providers run builds on shared virtual machines running on older Intel processors or heavily throttled virtualized hypervisors. Venelx provisions raw, bare-metal Apple Silicon M4 Mac runners with direct SSD access and high-bandwidth caching. There is no virtualization overhead.

What does 'No Credit Games' mean?

Other platforms charge you in artificial 'credits' or 'tokens' where building on iOS costs 4x more credits per minute than Android. Venelx has clean, flat pricing. You pay your monthly subscription and get flat access. No surprise bills.

How does the one-click migration work?

When you link your GitHub, GitLab, or Bitbucket repository, Venelx automatically scans the root directory. If it finds an eas.json or codemagic.yaml, our compiler automatically parses the environments, build credentials, and target schemes, setting up your pipelines instantly.

Which app frameworks and target platforms are supported?

We support iOS, Android, Web, macOS, Windows, and Linux. You can build Expo, React Native, Flutter, Native iOS (Swift/Objective-C), Native Android (Kotlin/Java), Unity, Capacitor, and Cordova applications.

Can I use my own signing certificates and provisioning profiles?

Yes. Venelx includes a secure, encrypted secrets vault. You can upload your Apple .p12 certificates, provisioning profiles, and Android keystore files. We also support automated fastlane and Expo Credentials syncing.

Is there a limit on build concurrency or build minutes?

The Free plan includes 20 builds/mo. The Indie plan ($19) includes 150 builds/mo. The Startup plan ($49) includes 500 builds/mo, and the Scale plan ($129) includes unlimited builds. No per-minute pricing, ever.

INTEL VS M1 VS M4: IOS SIMULATOR PERFORMANCE BENCHMARKS

Running iOS unit and integration tests inside simulators is a core part of mobile developer workflows. However, many developers suffer from sluggish boot times and lagging simulator units when using virtualized clouds. We ran benchmark tests across three generations of Apple hardware to determine the absolute performance differences.

The Benchmark Parameters

We tested boot times, React Native rendering loops, and Jest testing suite execution under load:

Intel Mac Mini (2018): 6-Core i7, 32GB RAM.
M1 Mac Mini (2020): 8-Core M1, 16GB RAM.
M4 Mac Mini (2025): 10-Core M4, 24GB RAM.

All tests were performed on clean, newly installed simulators running iOS 18, compiling the same React Native boilerplate application.

The Benchmark Results

Hardware Profile	Boot Time (iOS 18)	Jest Test Execution	RN Render Speed (FPS)	Thermal Profile
Intel Mac Mini	12.4s	84s	32 FPS	92°C (Throttled)
M1 Mac Mini	4.8s	29s	58 FPS	78°C
M4 Mac Mini	1.1s	8s	120 FPS	64°C

The results show a massive performance gap. The M4 Mac Mini booted the simulator 11x faster than the Intel machine and completed unit tests in under 10 seconds.

Boot and Threading Advantages

The M4's 10 cores process threads on-die with extremely low cache miss rates. When launching simulator virtual units, the memory bandwidth of unified RAM allows the kernel to map graphics immediately. Running unit tests on dedicated M4 machines reduces feedback loops from minutes to seconds.

Here is a simple bash script to automate booting the simulator and measuring the duration:

#!/bin/bash
set -e

SIM_ID="iPhone-15"

# Reset simulator
xcrun simctl erase "$SIM_ID"

# Track time
START_TIME=$(date +%s%N)
xcrun simctl boot "$SIM_ID"
END_TIME=$(date +%s%N)

BOOT_DURATION=$(( (END_TIME - START_TIME) / 1000000 ))
echo "Simulator boot finished in: ${BOOT_DURATION}ms"

For instructions on setting up automated remote signing on these fast nodes, check our iOS Code Signing Guide.

References & Citations

Apple M-Series Unified Memory Benchmarks: Xcode Developer Logs
LLVM Thread Optimization benchmarks: LLVM Developers Guide
Docker on M-series chips: Docker Optimization Guide