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See PR age and complexity at a glance on GitHub. Lightweight, free, no data collection. From CodePulseHQ.com Instantly spot stale pull requests on GitHub. PR Pulse adds simple, color-coded badges to GitHub's pull request pages so you can see at a glance which PRs need attention. ### ⏱️ PR Age Badges Every PR shows how long it's been open: • Green - Fresh (< 24 hours) • Yellow - Getting stale (1-3 days) • Red - Needs attention (> 3 days) ### 📊 Complexity Scores (on PR detail pages) See PR complexity based on files changed and lines of code: • Low - Small, focused change • Medium - Moderate scope • High - Large change, needs careful review • Critical - Very large, consider breaking up ### ⚙️ Fully Customizable Click the extension icon to adjust thresholds: • Set your own age thresholds (default: 24h green, 72h yellow) • Configure complexity scoring • Toggle badges on/off for list vs. detail pages ### 🔒 Privacy First • No data collection - We don't track anything • No network requests - Works entirely locally • No account required - Just install and use • Minimal permissions - Only needs storage for your settings ### Why PR Pulse? Long-lived PRs are a code smell. Research shows PRs open longer than 3 days have: • Higher defect rates • Lower review quality • Increased merge conflicts PR Pulse makes stale PRs impossible to ignore, helping your team ship faster with fewer bugs. --- Free forever. Built by CodePulse - the engineering intelligence platform trusted by engineering leaders worldwide. Questions or feedback? Visit https://codepulsehq.com ## Tags/Keywords - github - pull request - code review - developer tools - productivity - PR age - PR complexity - engineering metrics
Feb 5, 2026
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.