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Lim Hoang

PROFILE

Lim Hoang

Over a three-month period, this developer enhanced attribution and analytics capabilities across the RevenueCat ecosystem, focusing on the purchases-android, purchases-flutter, and docs repositories. They implemented Airbridge and Solar Engine identifier integrations, introducing new APIs and subscriber attributes using Kotlin, Java, and Dart to improve marketing attribution and analytics workflows. Their work included updating API definitions, adding unit tests, and ensuring backward compatibility. They also improved integration documentation, adding visual guides and clarifying setup steps to streamline developer onboarding. Additionally, they resolved a key capitalization bug in the iOS Flutter implementation, ensuring consistent user ID attribution across platforms.

Overall Statistics

Feature vs Bugs

80%Features

Repository Contributions

6Total
Bugs
1
Commits
6
Features
4
Lines of code
411
Activity Months3

Work History

January 2026

3 Commits • 2 Features

Jan 1, 2026

January 2026 monthly summary for RevenueCat developer contributions. Focused on delivering cross-platform attribution improvements, expanding analytics capabilities, and tightening code quality across Android, Flutter, and documentation.

October 2025

2 Commits • 1 Features

Oct 1, 2025

Monthly summary for 2025-10: Focused on improving integration documentation for Airbridge with RevenueCat, delivering clearer attribution guidance, lifecycle event mapping, and setup steps. No major bugs fixed this month. The updates enhance developer onboarding, reduce integration friction, and improve attribution accuracy for campaigns.

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025 monthly summary for RevenueCat Android SDK development. Key accomplishment: Delivered Airbridge Device ID integration as a subscriber attribute, enabling Airbridge Device ID to be stored as a subscriber attribute and adding setAirbridgeDeviceID to Purchases and its orchestrator. Updated API definitions and tests to support analytics integration, aligning the SDK surface with downstream analytics workflows. This work improves attribution accuracy and analytics readiness for marketing and product teams. No major bugs reported within this feature scope.

Activity

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Quality Metrics

Correctness100.0%
Maintainability96.8%
Architecture100.0%
Performance96.8%
AI Usage40.0%

Skills & Technologies

Programming Languages

DartJavaKotlinMarkdownObjective-CSwift

Technical Skills

API integrationAndroid developmentAttribution TrackingCross-Platform DevelopmentFlutterJavaKotlinMobile DevelopmentSDK Developmentattribution integrationdocumentationiOS DevelopmentiOS developmentintegration setupmobile development

Repositories Contributed To

3 repos

Overview of all repositories you've contributed to across your timeline

RevenueCat/docs

Oct 2025 Jan 2026
2 Months active

Languages Used

KotlinMarkdownSwift

Technical Skills

Android developmentdocumentationiOS developmentintegration setupmobile developmenttechnical writing

RevenueCat/purchases-android

Sep 2025 Jan 2026
2 Months active

Languages Used

JavaKotlin

Technical Skills

Attribution TrackingMobile DevelopmentSDK DevelopmentAPI integrationJavaKotlin

RevenueCat/purchases-flutter

Jan 2026 Jan 2026
1 Month active

Languages Used

DartObjective-C

Technical Skills

Cross-Platform DevelopmentFlutteriOS Development