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Books Comparison - August 2025

1
Best Choice
9.8Exceptional
2
Best Value
9.7Exceptional
3
9.6Exceptional
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Model

Regretting You
Model
Fahrenheit 451
Model
Every Summer After

Brand

Montlake Romance
Brand
Simon & Schuster
Brand
Berkley

Reviews

472,353 reviews
Reviews
153,612 reviews
Reviews
141,432 reviews

Tech Specs

item weight

2.31 pounds
item weight
2.31 pounds
item weight
9.8 ounces

paperback

365 pages
paperback
249 pages
paperback
320 pages

publisher

Montlake December 10, 2019
publisher
Simon & Schuster Reissue edition January 10, 2012
publisher
Penguin Publishing Group May 10, 2022

isbn 10

1542016428
isbn 10
9781451673319
isbn 10
0593438531

language

English
language
English
language
English

isbn 13

978-1542016421
isbn 13
978-1451673319
isbn 13
978-0593438534

dimensions

5.5 x 1 x 8.25 inches
dimensions
5.5 x 0.8 x 8.44 inches
dimensions
5.4 x 0.9 x 8.1 inches

Available On

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Our Top 3 Picks

Here are the top 3 recommended products with more information to help you find the right product for you
  • 9.8
    1
    Regretting You
    Montlake Romance

    Regretting You

  • 9.7
    2
    Simon & Schuster
    46% Off

    Fahrenheit 451

    Why we love it

    Timeless societal themes.
    Engaging dystopian narrative.
    Insightful commentary on technology.
    Main highlights
    • Fahrenheit 451;9781451673319;1451673310
  • 9.6
    3
    Every Summer After
    Berkley
    43% Off

    Every Summer After

    Why we love it

    Emotionally engaging narrative.
    Perfect for summer nostalgia fans.
    Juicy, captivating writing style.

Our ranking system

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Features

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Consumer Reviews

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Popularity

Our system also considers the popularity of products, analyzing factors such as market presence, reputation, and user satisfaction. By leveraging AI, we capture a comprehensive picture of a product's standing in the market, which may not always be evident through traditional testing.
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Value for money

AI allows us to compare products based on attributes like price, specifications, and user feedback, helping to determine their value for money. This data-driven approach offers an efficient and reliable way to assess how products stack up against one another in terms of cost-effectiveness.
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