據 AlphaMoat 統計,截至 2026-09,Chrome 外掛 Bookmark Plus by Vidura 使用者數為 87,環比 -8.4%,評分 4(9 人評價),在全部 9,324 款 AI 瀏覽器外掛中排名第 4,437 位,在「辦公協作」分類(1,839 款)中排名第 921 位。
Bookmark Plus is a smart bookmarks manager to a knowledge base. Bookmark Plus (a.k.a Bookmark+) elevates bookmarking experience by automatically categorizing bookmarks into accurate topics using AI. Bookmarks are transformed into a powerful mind map 🧠 for accessing bird's eye view.
One can also easily access "Recently Bookmarked" web pages from extension.
Features:
* Automatic bookmark folder creation * Mind map visualization * Search by bookmark or topic
Install, Bookmark, and Generate Knowledge for free!
Common FAQs:
→ Does Bookmark Plus correctly predicts the topic of my bookmark ?
Yes, it can even differentiate a music video vs an education video on YouTube. So it understands the context and groups your bookmark correctly.
→ Why I need Bookmark Plus when I have standard bookmarks ?
Bookmarks are best way to save information for later, but just saving information can lead to a huge pool of unused information. To overcome that a user can sort bookmarks manually. It is not practical in the long run and in most cases users give up and stores everything in one single folder.
→ How Bookmark Plus fixes the manual sorting fatigue ?
Bookmark Plus uses generative AI to attach contextual topics and sub-topics to bookmarks in the best possible way. In addition, we provide better bookmarking experience to Chrome users by implementing two main features:
1. See how your bookmarks are connected with a mind map 2. Search bookmarks faster with more visual information (thumbnails, descriptions etc.) than traditional ones.
→ Do I have to change my regular workflow ?
Not much. Once the extension is installed, a user can start bookmarking via extension/context manager option and they will see new folders dynamically created with predicted topic in their bookmarks manager. This is essential for mothballing the bookmarks for later use.
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+ 對比資料月份:2026-09 · 使用者數與評分來自 Chrome 應用商店公開資料,按月聚合更新。口徑說明見資料方法。