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A tool that applies spaced repetition learning principles to Twitter, automatically resurfacing liked tweets at scientifically-optimized intervals
A tool that applies spaced repetition learning principles to Twitter, automatically resurfacing liked tweets at scientifically-optimized intervals. By reintroducing content when memory retention is critical, it helps users extract lasting value from their Twitter experience.
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Not enough observed signals for a Pulse Index (needs 2+ signal families).
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