2 items
Personalized knowledge accelerator ā explains paper terms using your own conceptual framework and learning style š Reading research papers in an unfamiliar field? PaperGloss explains terms using concepts you already know. ⨠KEY FEATURES: ⢠Select any term ā get a personalized explanation ⢠Adapts to YOUR level (12 persona presets or free-text self-description) ⢠6 explanation styles: analogy-heavy, code-first, rigorous, minimal, and more ⢠Builds a personal knowledge base ā explanations get smarter over time ⢠Auto-detects unfamiliar jargon on the page ⢠Spaced repetition review to retain what you learn ⢠Keyboard shortcut (Ctrl+Shift+G) and right-click menu ⢠Export study sessions as Markdown š§ HOW IT WORKS: 1. Set up your knowledge profile in 3 minutes (onboarding quiz) 2. Select any term on a paper 3. Get an explanation calibrated to your level 4. Click "Got it" to grow your knowledge base š PRIVACY-FIRST: ⢠All data stored locally ā we have NO server ⢠Your API key never leaves your browser ⢠BYOK (Bring Your Own Key): works with Anthropic Claude, OpenAI, or DeepSeek š” PERFECT FOR: ⢠Graduate students entering a new research area ⢠Engineers reading papers outside their specialty ⢠Anyone who wants to learn faster from academic literature ā” Free to use. Requires your own LLM API key.
Jul 2, 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.