Technology Category
- Analytics & Modeling - Machine Learning
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Cement
- Construction & Infrastructure
Applicable Functions
- Maintenance
- Product Research & Development
Use Cases
- Leakage & Flood Monitoring
- Time Sensitive Networking
Services
- Data Science Services
- System Integration
About The Customer
Founded in 2012, CodePen is a social community where front-end designers and developers gather to write, test, and share code. CodePen’s online text editor makes it easy to build and test components in real time using HTML, CSS, and JavaScript. The social development aspect sets CodePen apart from other dev platforms. More than 330,000 CodePen users enjoy an interactive experience that lets them like, share, borrow, remix, and comment on each others’ projects, learning from and collaborating with peers around the globe. CodePen users create, edit, share, and remix three foundational types of content: Pens, Projects, and Collections.
The Challenge
CodePen, a social community for front-end designers and developers, faced a challenge with their activity feed back end. The original system needed an overhaul to improve performance and to add new and expanded functionality. The team recognized an opportunity to enhance personalized content recommendations to stay competitive in the evolving social media landscape. The challenge was to upgrade the existing feeds to personalize the user experience with interesting content. The team was faced with a classic build-vs-buy decision: Use internal dev resources to rebuild activity feeds and develop content discovery algorithms from scratch, or replace the feeds back end entirely.
The Solution
CodePen chose to integrate Stream Feeds, a third-party component solution, which provided more advanced functionality at a significantly lower cost than in-house development. The integration process was straightforward and came with enterprise-grade technical support. Stream Feeds gave CodePen the power to create a modern sophisticated feed to engage users. The solution included a performance upgrade, expanded functionality, advanced AI and ML algorithms, and custom integration support. CodePen was able to go beyond a simple performance upgrade and actually expand the types of feed experiences offered, boosting user engagement along the way.
Operational Impact
Quantitative Benefit
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