Kaffae: Track Articles and Remember More — Kaffae
Remember what you read. Mindful reading made easy.
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Remember more of what you read. Mindful reading made easy.
With Kaffae extension, you easily gain self-awareness of how you read every day. It automatically captures and analyzes your reading in the background.
It is ideal for people who spend time reading New York Times, BBC, Medium, New Yorker, Wikipedia, and other publishers.
★ Daily Report
You will get a daily update of your reading, every morning when you open a laptop. We forget 80% of what we read unless we have an exposure again. This spaced repetition is the effective way to retain information.
★ Memory Connection
You will get a notification with similar articles you have read in the past - whether that's 3 weeks or 3 months ago. Build new idea in your understanding by building long gone connection.
★ Automatic Link Manager
Your articles are saved automatically. You can quickly find them with 81 automatic categories. You can also use the filter by the time you've spent reading. You don't need to constantly click on "save" bookmarking every time.
★ Article / Book Suggestion
You will have article as well as book suggestion based on your reading. Expand your knowledge from casual reading to deep expertise.
★ Friend Update
You can share your reading activity all at once. Grab a link and share your entire list of daily articles with anyone. Also enjoy the leaderboard within the platform how much you read relatively to others.
Extension Features:
* Daily report to improve your reading habit.
* Realtime reminder of your related articles.
* Personal library to visualize your historical reading.
* Automatic breakdown of your articles into 81 categories.
* A weekly goal for maintaining learning motivation.
* Article discovery based on your reading.
* Connect with friends to exchange reading list.
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For technical implementation of how article tracking works, please read this blog post.
https://medium.com/kaffae/how-kaffae-extension-recognizes-and-tracks-articles-2f477092b9d1
With Kaffae extension, you easily gain self-awareness of how you read every day. It automatically captures and analyzes your reading in the background.
It is ideal for people who spend time reading New York Times, BBC, Medium, New Yorker, Wikipedia, and other publishers.
★ Daily Report
You will get a daily update of your reading, every morning when you open a laptop. We forget 80% of what we read unless we have an exposure again. This spaced repetition is the effective way to retain information.
★ Memory Connection
You will get a notification with similar articles you have read in the past - whether that's 3 weeks or 3 months ago. Build new idea in your understanding by building long gone connection.
★ Automatic Link Manager
Your articles are saved automatically. You can quickly find them with 81 automatic categories. You can also use the filter by the time you've spent reading. You don't need to constantly click on "save" bookmarking every time.
★ Article / Book Suggestion
You will have article as well as book suggestion based on your reading. Expand your knowledge from casual reading to deep expertise.
★ Friend Update
You can share your reading activity all at once. Grab a link and share your entire list of daily articles with anyone. Also enjoy the leaderboard within the platform how much you read relatively to others.
Extension Features:
* Daily report to improve your reading habit.
* Realtime reminder of your related articles.
* Personal library to visualize your historical reading.
* Automatic breakdown of your articles into 81 categories.
* A weekly goal for maintaining learning motivation.
* Article discovery based on your reading.
* Connect with friends to exchange reading list.
----------------------------------
For technical implementation of how article tracking works, please read this blog post.
https://medium.com/kaffae/how-kaffae-extension-recognizes-and-tracks-articles-2f477092b9d1
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Več informacij
- Povezave dodatka
- Različica
- 0.8.4
- Velikost
- 141,07 KB
- Zadnja posodobitev
- pred 5 leti (18. avg. 2020)
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