2 items
RubberDucky — persistent reading assistant for papers with compounding memory. RubberDucky is a reading companion built for research papers—not a generic chatbot. Select text or figures on any page, get AI explanations grounded in what you have already read, and build a notebook that compounds across sessions and projects. HOW IT WORKS • Select text on arXiv, publisher sites, or PDF HTML views and click Explain. • Notes and highlights stay organized by source page and project in the side panel. • Ask questions across your accumulated notes or generate a quick review quiz. • Optional voice tutor: click the teacher icon for spoken Q&A about your current selection (user-initiated only). KEY FEATURES • Persistent reading memory — explanations reference prior notes in the same article and across your project. • Side panel notebook — switch between Notes and Annotations without leaving the page. • Google sign-in — sync notes to your account across devices (optional). • Google Docs export — compile and export notes when you connect Docs (optional). • Voice tutor — microphone used only when you start a voice session. SIGN-IN & BILLING Sign in with Google to enable cloud sync and paid AI features. RubberDucky Pro is a one-time unlock processed securely through Razorpay on our website. Your Google email is used to match payment to your account. The extension is free to install; Pro unlocks AI explain, cloud sync, and voice tutor. PRIVACY We do not sell your data. Page content is sent to our backend only when you explicitly trigger Explain, voice tutor, or related actions—not passively while you browse. See our privacy policy for full details.
Jul 9, 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.