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Grant Liu

PROFILE

Grant Liu

Worked on the RelevanceAI/content-cdn repository over a three-month period, focusing on building foundational features for scalable content delivery and data extraction. Developed Apify-based web scraping and data extraction workflows using JavaScript, enabling automated data collection and processing to improve ingestion speed and consistency. Delivered a content delivery network resources feature, onboarding assets to support faster page loads and lower latency for end-users. Established initial project scaffolding and repository groundwork with HTML, CSS, and JavaScript, setting up structured development and easier onboarding for future contributors. No major bugs were reported or fixed, with quality assurance validating each workflow end-to-end.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

4Total
Bugs
0
Commits
4
Features
3
Lines of code
21
Activity Months3

Work History

March 2026

2 Commits • 1 Features

Mar 1, 2026

Concise monthly summary for 2026-03 focusing on RelevanceAI/content-cdn. Key actions include establishing a solid project scaffolding and repository groundwork to accelerate future feature development, with placeholder commits enabling upcoming enhancements. No major bug fixes recorded this month. Prepared foundation for scalable content delivery pipelines and easier onboarding for new contributors.

December 2025

1 Commits • 1 Features

Dec 1, 2025

Monthly summary for 2025-12: Focused on delivering CDN resources for RelevanceAI/content-cdn and establishing the foundation for scalable asset delivery. Highlights include introducing the Content Delivery Network Resources feature and onboarding assets, with no high-severity bugs reported this month.

November 2025

1 Commits • 1 Features

Nov 1, 2025

November 2025 monthly summary focusing on delivering Apify-based web scraping and data extraction for RelevanceAI/content-cdn. Primary accomplishment: introduced Apify-based functionality to automate data collection and processing from web pages. No major bugs fixed this month; QA validated the workflow end-to-end. Result: improved data ingestion speed, consistency, and scalability for content delivery. This work lays the foundation for scalable data pipelines and downstream analytics.

Activity

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Quality Metrics

Correctness50.0%
Maintainability50.0%
Architecture50.0%
Performance50.0%
AI Usage35.0%

Skills & Technologies

Programming Languages

CSSHTMLJavaScriptUnknown

Technical Skills

JavaScriptUnknowndata extractionfront end developmentfull stack developmentweb scraping

Repositories Contributed To

1 repo

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

RelevanceAI/content-cdn

Nov 2025 Mar 2026
3 Months active

Languages Used

JavaScriptUnknownCSSHTML

Technical Skills

JavaScriptdata extractionweb scrapingUnknownfront end developmentfull stack development