PluginStats
PaperClip users statistics
Chrome Web Store · Workflow & Planning
Memorize details from AI research papers
PaperClip has approximately 658 recorded users on Chrome Web Store, ranking #3613 of 8,189 tracked listings.
Rating: 5.00 / 5 from 1 ratings
About PaperClip
Memorize details from AI research papers
Memorize important findings in research papers about machine learning, computer vision, and natural language processing.
How to use it:
Select the text you want to memorize and right-click "Memorize". Then in the extension, you can find back all your saved bits and related source.
Features:
- Save from PDFs, blogs, and websites.
- Find back your findings with a single search in the extension.
- All your saved bits are stored and indexed locally, no data is sent to any server.
- Offline support.
Description from the Chrome Web Store listing.
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Charts
Images: 30d · 1y · all time · 1600×900 dark
Adoption over time
7/30/90-day growth
Ranking history
Ratings over time
Listing placement
Listing placement
Filled points are observed values; hollow points come from Internet Archive snapshots of the listing page. Dashed segments span periods with no observations — values between points are not interpolated.
Each band is one page of 20. Users on a linear scale. Placement is projected from users, so it can differ from the marketplace's own sort order. Hover a dot to see the listing.
Recent observations
Full history (1)Similar Chrome Web Store Workflow & Planning plugins
All 20 PaperClip alternatives
Data source
Covers every Chrome Web Store extension with at least 100 users, found through the store's public sitemap. User counts are read from public listing pages. The 10% most-used extensions are refreshed daily, the next 40% weekly and the next 40% monthly; the least-used 10% are not refreshed. Google displays rounded user counts (and caps the display at 10,000,000+), so small changes may not be visible. Rating counts above 1,000 are rounded (e.g. 1.6K).
Listing: https://chromewebstore.google.com/detail/paperclip/pfbjheafnhlpnjojhdonkfphnkablikp. First seen Nov 8, 2026; last successful collection Nov 8, 2026. See the methodology.