Reddit Awarded Comment Highlighter
Free to download on every platform. Comes pre-installed on BotFone, BotPad and BotFlip — with extra free apps included.
About this app
WHAT IT DOES
Reddit Awarded Comment Highlighter is a browser extension that automatically scans the current Reddit page for comments, awarded comment indicators, and award badges. It detects awarded comments by examining class names, IDs, and data attributes for patterns like ".award", ".gilded", ".award-badge", and related selectors. The extension adds a floating highlight button (🏅) next to the comment section, providing quick access to award highlighting controls with an award count indicator. Clicking the button opens a panel where you can highlight awarded comments, set highlight colors, filter by minimum award count, and store preferences locally. The panel displays the number of awarded comments found and provides settings for highlight color, minimum award count, and toggle controls. Awarded comments are highlighted with a colored left border and an award badge showing the number and types of awards received. The extension maintains an awarded comment preferences database with settings history, notes, and tags. The main panel shows a preview of awarded comments and saved settings history. All data is stored locally in your browser using GM_setValue, ensuring your preferences persist across page reloads and browser sessions. This helps Reddit users quickly identify awarded comments, see which comments have received awards, and understand which comments are most valued by the community.
WHERE IT RUNS
This extension runs on any Reddit page that displays comments, awarded comment indicators, or award badges – including Reddit comment sections, post pages, and any page with Reddit comments. The extension intelligently adapts to different page structures and supports a wide range of common Reddit display patterns. No manual configuration is required per site; the extension automatically detects awarded comments using a flexible pattern matching system. This makes it ideal for Reddit users who want to quickly identify awarded comments and see which comments have received awards.
HOW TO USE
Simply install the extension and navigate to any Reddit page with comments. The extension automatically detects awarded comments and shows a highlight button (🏅) next to the comments with an award count indicator. Click the button to open the award highlighting panel. The panel shows the number of awarded comments found. Use the "Enable Highlighting" toggle to turn highlighting on or off. Choose a highlight color using the color picker. Select the minimum award count (1+, 2+, 3+, 5+, or 10+) to filter which comments are highlighted. The panel also shows a preview of awarded comments with their award information. A floating button (🏅) appears in the bottom-right corner of the page – click this to open the panel from anywhere. Use the notes section to add notes about settings or observations. The panel also shows saved settings history. Use the "Clear All Data" button to remove all tracking data when needed.
ONE TECHNICAL SECTION – WHY IT WORKS
The extension uses DOM traversal and pattern matching to identify awarded comments. The detection system uses a comprehensive set of CSS selectors targeting award indicators including ".award", ".gilded", ".award-badge", ".awarding", and related patterns. The extension finds the parent comment container for each award indicator by climbing the DOM tree using closest('.comment, .thing.comment, .commentarea .thing'). The award count is extracted from text content using regex for numbers, and by counting award indicator elements. Award types are identified by matching text content against a list of known award names and checking image alt/title attributes. When highlighting is enabled, the extension applies a left border and padding to awarded comments, and inserts a badge showing the award count and types. The badge is inserted into the comment's tagline or user info section. The highlight color and minimum award count are user-configurable and saved in the settings database. A MutationObserver detects dynamic content updates and re-scans only when new comments appear, balancing real-time accuracy with system performance.
THE PANEL – DRAG / PER-SITE POSITION / SNAP / COLLAPSE / RESIZE / ESCAPE
The awarded comment highlighter panel includes a draggable title bar, allowing you to position it anywhere on screen for convenient access during browsing. The extension remembers your preferred position per website, so the panel opens in the same location each time you return to that domain. The panel supports snap-to-edge behavior – when dragged near screen edges, it gently snaps into place for a tidy workspace layout. You can collapse the panel down to just its title bar by clicking the collapse button, keeping it accessible without taking up screen space. The settings and preview are contained within a scrollable body, ensuring all content remains accessible even on smaller screens. Pressing the Escape key closes the panel instantly, returning you to your Reddit browsing workflow.
PLEASE NOTE
This extension requires the free BotGentz extension to be installed and enabled, as it relies on BotGentz's userscript injection and GM_* API shims for cross-browser compatibility. Websites frequently update their HTML structures and class names, which may cause award detection to break temporarily – we actively maintain the matching patterns and release updates regularly. The extension stores all award settings, notes, and history exclusively in your local browser storage (GM_setValue); no data is ever transmitted to any external server or third party. The extension does not read, modify, or interfere with any Reddit content or functionality beyond the comment display – it operates on the page content and stores only metadata (comment text previews, award counts, award types, settings, and notes) that you explicitly create. You are responsible for backing up your preference data if you switch browsers or clear your storage. Use this tool responsibly and in accordance with Reddit's Terms of Service.