
Unlimited Memory: How to Use Advanced Learning Strategies to Learn Faster, Remember More and be More Productive
4.5 stars from 12,684 reviews. One of the highest rated Nonfiction books we track.
Last checked: Jun 9, 2026
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Price range: $1.99 – $9.99
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Fans of these authors will like this...
- James Clear
- Cal Newport
- David Allen
Fans of these books will like this...
- Atomic Habits
- Deep Work
- Getting Things Done
Perfect for you if...
- You struggle to focus at work and need practical strategies to reclaim your concentration and stop feeling mentally scattered.
- You study or learn new material regularly and want to retain more without spending extra hours rereading.
- You're curious how memory champions actually work and want to apply their methods to your own professional and personal life.
Maybe not for you if...
- You're looking for a quick fix or expect to transform your memory by reading passively without practising the techniques.
- You prefer abstract neuroscience explanations over actionable tactics and step-by-step methods.
- You have no interest in self-improvement and are content with your current productivity and recall abilities.
About this book
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Price History
Kindle price over time. Green zones = periods when the book was free.
Currently on sale at $4.99 — 50% off peak. Price has dropped 10 times over the last 5 years. Goes on sale roughly every 174 days.
Sales Rank
Amazon sales rank: lower number = better selling book. #1 is the bestseller.
Currently around #27K in the Kindle store — a steady mid-list seller. Sales have softened 79% recently.
Rating & Reviews
Purple line = star rating over time. Blue area = total review count growth.
Currently 4.5★ from 12,684 reviews
Gaining approximately 34 new reviews per month. Steady word of mouth growth. Rating has remained stable at 4.5 over the tracking period.
Sale Prediction
Actual Predicted
This book is currently discounted at $4.99. It typically returns to around $9.99.
Prices shown in USD from Amazon US. We continuously pull new data to improve tracking. If dates look old, it usually means there has been no significant change since the last data point.
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