readwise-rival

To save reading highlights and generate knowledge cards, input text snippets and sources from books or articles. The system stores highlights in structured JSON format, converts them into Q&A cards, and schedules spaced repetition reviews using a simplified SM-2 algorithm.

The best way to organize reading highlights is saving them locally in a structured JSON format with tags. This enables efficient keyword retrieval and allows highlights to be easily transformed into question-and-answer cards for review.

Yes, you can get a weekly summary of your reading activity and pending reviews. The system tracks saved highlights and automatically generates weekly reports detailing upcoming spaced repetition schedules and overall reading progress.

Yes, the SM-2 algorithm works for scheduling review intervals by calculating optimal spacing times. It adjusts review frequencies based on your interaction with the generated knowledge cards, improving long-term retention of saved highlights.

To create Q&A cards from book highlights, save the text snippets along with their source information into the structured JSON format. The system processes these entries and automatically transforms them into question-and-answer cards for review.

The simplified SM-2 algorithm provides basic spaced repetition scheduling for reading highlights review but lacks advanced customization found in full implementations. It focuses on core interval adjustments for Q&A cards rather than complex grading or multi-deck configurations.