A Python package to copy all your Kindle highlights and notes to a database in Notion. Plug in your Kindle device to your PC to run this script. Requires Python 3.9+ installed on your system.
Export your Kindle clippings to a Notion database
A Python package to copy all your Kindle highlights and notes to a database in Notion. Plug in your Kindle device to your PC to run this script. Requires Python 3.9+ installed on your system.
This would be really useful if I can use it as a web app. Log in with Amazon, get my kindle highlights, syncs to Notion automatically. Would def pay for it.
Hey Product Hunt Community! Like most people during the lock-down, I found myself with some newfound time on my hands to cater to some new habits. I made an active decision to take up reading for leisure and learning, with the help of my 2-year-old Kindle. But over time, I did find myself forgetting insights from the books I’ve read. Highlighting passages and taking notes within the Kindle didn't help either because of the unnecessary hassles involved in getting around to revisit it. I wanted to
Looks great! Probably should not have purchased Readwise lmao
Wow this will be helpful. I stopped taking notes in kindle only because there was no good way to revisit the highlights. I donor use notion yet but can totally start using it for kindle highlights!
Oh, Man, sorry for not being here on the day. This is really cool, will definitely use. I have colour code for my Kindle highlights - yellow for new words (I am not a native English speaker) and blue for interesting thoughts. For the yellows I just need a flash card option to go through them in my spare time and memorise new vocab. The Kindle Flashcards feature kind of allows for that, but that doesn't give you the translation (in my case to Russian), which is bad. So I thought of writing a scri
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.