Security Alert: Confirmed Malware
Skimzy
ID: cfjpgfpnnjoeppieilbnfefacnnchdch
Supported Languages
Extension Info & Metadata
Publisher Contextual Analysis
- Author
- http://jelter.netView Profile
- Privacy
- Privacy Policy
- Country
- NL
- MX records exist
- Yes
- Domain exists
- Yes
- Is disposable
- No
- Is role-based
- Yes
- Mailbox exists
- Yes
- Address
- Herman Gorterlaan 1-111 Eindhoven 5644SB NL
- Website
- Visit
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Read efficiently
Skimzy is an AI-powered reading companion that understands the core meaning of a text, and highlights it to make you read faster and more efficiently. With Skimzy, understanding articles is no longer a tedious or lonely task. Skimzy uses the skimming reading technique: Skimming is a process of speed reading that involves visually searching the sentences of a page for clues to the main idea or when reading an essay. Whether you’re using it to read articles quicker, make study notes or understand text better, Skimzy helps you become a better reader. Powered by our advanced AI technology that has a deep understanding of context and semantics, Skimzy goes far beyond the text summarizers you already know, offering completely new capabilities: - See the context: Don’t miss important takeaways or figures by viewing the highlights within the text. If the line contains and important message, you can still read it fully. - Most important sentences: Choose to only highlight the top sentences of a text, making it even easier to see what is noteworthy. - Quick summarization: Summarize texts faster, since the core takeaway of a sentence is already highlighted. With Skimzy, you can enjoy the reading experience, save time and focus on what matters: the lessons from the article. Skimzy can help you to: 💡Read faster 💡Understand text better 💡Summarize articles quicker 💡Read with confidence 💡Expand your skimming techniques We’re constantly working on updates and improvements to make your Skimzy experience even better. If you have questions or feedback, we would love to hear from you at [email protected].
Extracted Data
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URLs
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Version History
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