AlphaMoatによると、2026-09時点でChrome拡張機能Sumpeekのユーザー数は128(前月比 +4.1%)、評価は4.9(54件のレビュー)で、9,324件のAIブラウザ拡張機能中3,840位、オフィス・コラボレーションでは1,839件中790位です。
Sumpeekとは
Hover over news headlines to get AI summaries before opening articles. Scan the news faster and decide what is worth reading. ✓ Works on Google News, Yahoo News, and major news websites
Sumpeek is an AI news summarizer built for people who scan a lot of news.
Hover over a news headline or article link to get a short AI summary directly on the page — before opening the article.
Instead of opening multiple tabs just to check whether something is worth reading, Sumpeek helps you understand the key points first, filter what deserves your attention, and focus on the stories that matter.
WHAT SUMPEEK DOES Sumpeek shows an instant article preview when you hover over a news link. You can quickly understand what the article is about, decide if it is worth your time, and keep browsing without opening unnecessary tabs.
It is designed for fast news reading, topic monitoring, research, and anyone who wants to stay informed without wasting time.
ストアの説明の続きを表示▾
WHY USE SUMPEEK
- AI news summaries on hover
- Understand articles before opening them
- Fewer tabs and less browsing clutter
- Clear bullet-point summaries
- Built specifically for news reading
- Works on Google News, Yahoo News, and major news websites
- Supports English and French
PRIVACY-FIRST BY DESIGN
- Activated only when you hover
- No background browsing
- No ads
- No sale of personal data
- Page access is used only to analyze article content and display summaries directly on the page
WHO IT’S FOR Sumpeek is useful for anyone who wants to scan the news faster and decide what is worth reading.
Ideal for:
- Journalists scanning multiple stories quickly
- Analysts monitoring several news sources
- Students researching current events
- Busy professionals and heavy news readers
- Anyone who wants a faster way to understand the news
拡張機能の情報
ユーザー数の推移
オフィス・コラボレーションの人気拡張機能
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データ月:2026-09 · ユーザー数と評価はChromeウェブストアの公開データを月単位で集計したものです。詳しくはデータの方法論をご覧ください。