RelevanceAI/content-cdn
Nov 2025 – Dec 2025
2 Months active
Languages Used
JavaScriptUnknown
Technical Skills
JavaScriptdata extractionweb scrapingUnknown
Grant Liu
PROFILE
Grant Liu
Worked on the RelevanceAI/content-cdn repository to deliver two core features over a two-month period, focusing on scalable data extraction and asset delivery. Developed an Apify-based web scraping and data extraction workflow using JavaScript, enabling automated collection and processing of web content to improve data ingestion speed and consistency. Subsequently, implemented a content delivery network resources feature, onboarding new files to support CDN asset distribution and enhance page load performance for end-users. All changes were validated through end-to-end QA, with no high-severity bugs reported, establishing a foundation for scalable data pipelines and efficient content delivery using web scraping techniques.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
17
Activity Months2
Your Network
32 peopleShared Repositories
21
Work History
December 2025
1 Commits • 1 Features
Dec 1, 2025Monthly 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.
1 Commits • 1 Features
Dec 1, 2025Monthly 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.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025November 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.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 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
Correctness60.0%
Maintainability60.0%
Architecture60.0%
Performance60.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
JavaScriptUnknown
Technical Skills
JavaScriptUnknowndata extractionweb scraping
Repositories Contributed To
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