5 items
Visualize your idle cursor inactivity Have you ever wondered just how much time you’ve spent inactive on a website? Perhaps distracted by a notification on your phone, a scene outside your window, or simply exploring a different part of the page. HoverHue is a Chrome extension designed to bring awareness to these moments of inactivity by transforming passive browsing data into a striking visual experience. Developed in collaboration with Hiya Singh, HoverHue captures idle cursor time and translates it into a dynamic, colorful map. The extension creates vibrant gradient orbs that appear across the webpage, each representing periods of cursor inactivity. These orbs grow in size based on the duration of inactivity, with the option to adjust the scale to display seconds, minutes, or hours. Users can toggle the visibility of this visual map, keeping it hidden during regular browsing and revealing it to explore the areas where they spend the most time. One of HoverHue’s standout features is the "grid inspect mode," which allows users to pause the tracking of inactivity and review detailed records of time spent in various sections of the page. This provides valuable insights into which areas of a website capture attention and where users may be drifting away. Built using P5.js for the colorful gradients and JavaScript for the underlying 2D array grid system, HoverHue merges visually captivating elements with data-driven functionality. It offers an engaging way to reflect on one’s browsing habits and provides a unique perspective on otherwise overlooked web interactions.
Mar 27, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.