Developed a Chrome extension that streamlines Montana State University's Ellucian Cloud portal by decluttering its interface into a cleaner, more focused experience. The extension removes unnecessary cards and navigation elements that contribute to visual noise, making the site faster and more pleasant to navigate.
The extension achieves this through CSS overrides and JavaScript DOM manipulation, selectively hiding or modifying UI elements to ensure a consistent experience across all MSU pages of the Ellucian Cloud platform.
Built to Manifest V3 specifications using vanilla JavaScript, the extension uses XPath queries for precise element targeting and a MutationObserver to detect and respond to Ellucian Cloud's single-page application navigation, ensuring UI modifications persist reliably across page transitions.
Developed a Chrome extension that transforms YouTube into a distraction-free, productivity-focused platform. The extension simplifies the user interface by removing attention-draining elements and enforcing intentional content consumption patterns.
By automatically redirecting users to their Subscriptions page, the app bypasses algorithmically-curated home feeds and trending sections. In addition to this, the app also eliminates all access to short-form video formats, as well as sidebar recommendations, comment sections, and "Watch Next" suggestions during video playback. Users are encouraged to break away from YouTube with infinite scroll detection that prompts them, and refreshes their feed. Custom grid layouts are employed to facilitate cleaner and less obtrusive content presentation throughout the platform.
The project was built using Manifest V3 specifications with vanilla JavaScript DOM manipulation and XPath queries. The extension monitors YouTube's single-page application navigation using MutationObserver patterns and event listeners to persistently apply UI modifications across all page transitions. This approach empowers users to reclaim their attention and use YouTube intentionally for educational content and subscribed creators, rather than falling into algorithmic recommendation loops.
Made with ❤️ by Isaac Yauk, 2026