02 Jul 2025
Books

a book management and rating app for the reading enthusiasts

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Swamp

The market has seen several mediocre solutions that nobody loves. Unless you can offer something fundamentally different, you’ll likely struggle to stand out or make money.

Should You Build It?

Don't build it.


Your are here

You're venturing into a crowded space: book management and rating apps. Our analysis shows at least 12 similar products, indicating significant competition. Engagement appears low, with an average of only 3 comments per product launch. Unfortunately, we don't have use/buy signals, but that doesn't necessarily mean nobody cares about these products, just that they don't get enough traction to generate use / buy signals. The overarching sentiment, as reflected in our 'Swamp' category, is that many mediocre solutions already exist, making it challenging to stand out. Existing solutions haven't fully captured user needs, leaving room for improvement, but only if you can offer something truly unique and compelling. Otherwise, it's best to reconsider.

Recommendations

  1. Begin with thorough market research to pinpoint the shortcomings of existing book management and rating apps. Understand why users are not fully satisfied with the current options. Look at the criticism for similar products: users want a Chrome plugin for sorting books, integration with user reviews, sorting books by rating, more genres.
  2. Identify a niche audience within the broader reading community that is underserved by existing solutions. For example, focus on academic readers, a particular genre (e.g., Sci-Fi), or a specific need (e.g., collaborative reading groups). You can also focus on the needs of avid readers who want to share progress.
  3. Instead of building a standalone app, consider creating tools or integrations for existing platforms like Goodreads or Notion. Many similar products are Notion templates, perhaps you can specialize in those. A Chrome plugin to sort books by rating directly on Goodreads is a good start too, based on user comments on competing products.
  4. Explore adjacent problems in the reading or book discovery space that might be more promising. Instead of competing directly, think about how you can enhance what's already out there, like a personalized recommendation engine, or something completely new.
  5. Given the competitive landscape, seriously consider whether this is the best use of your time and resources. If you're not confident you can offer something significantly better, save your energy for a different idea.
  6. Implement features addressing user concerns with existing trackers. For example, users seek more sorting options (like sorting by rating) and genre variety, which indicates an opportunity for improvement.
  7. If you proceed, focus on integrations that add direct value to established platforms like Goodreads, and Notion. A direct integration avoids user lock-in and provides utility without disrupting existing workflows.
  8. Consider incorporating a social sharing feature to encourage users to showcase their reading progress. Users in similar product launches expressed interest in sharing progress, which may increase engagement.

Questions

  1. What specific, unmet needs of reading enthusiasts will your app address that existing solutions have failed to satisfy?
  2. How can you leverage integrations with existing platforms like Goodreads to provide value without direct competition?
  3. Given the numerous existing book tracking solutions, what is your plan to achieve a unique and defensible competitive advantage?

Your are here

You're venturing into a crowded space: book management and rating apps. Our analysis shows at least 12 similar products, indicating significant competition. Engagement appears low, with an average of only 3 comments per product launch. Unfortunately, we don't have use/buy signals, but that doesn't necessarily mean nobody cares about these products, just that they don't get enough traction to generate use / buy signals. The overarching sentiment, as reflected in our 'Swamp' category, is that many mediocre solutions already exist, making it challenging to stand out. Existing solutions haven't fully captured user needs, leaving room for improvement, but only if you can offer something truly unique and compelling. Otherwise, it's best to reconsider.

Recommendations

  1. Begin with thorough market research to pinpoint the shortcomings of existing book management and rating apps. Understand why users are not fully satisfied with the current options. Look at the criticism for similar products: users want a Chrome plugin for sorting books, integration with user reviews, sorting books by rating, more genres.
  2. Identify a niche audience within the broader reading community that is underserved by existing solutions. For example, focus on academic readers, a particular genre (e.g., Sci-Fi), or a specific need (e.g., collaborative reading groups). You can also focus on the needs of avid readers who want to share progress.
  3. Instead of building a standalone app, consider creating tools or integrations for existing platforms like Goodreads or Notion. Many similar products are Notion templates, perhaps you can specialize in those. A Chrome plugin to sort books by rating directly on Goodreads is a good start too, based on user comments on competing products.
  4. Explore adjacent problems in the reading or book discovery space that might be more promising. Instead of competing directly, think about how you can enhance what's already out there, like a personalized recommendation engine, or something completely new.
  5. Given the competitive landscape, seriously consider whether this is the best use of your time and resources. If you're not confident you can offer something significantly better, save your energy for a different idea.
  6. Implement features addressing user concerns with existing trackers. For example, users seek more sorting options (like sorting by rating) and genre variety, which indicates an opportunity for improvement.
  7. If you proceed, focus on integrations that add direct value to established platforms like Goodreads, and Notion. A direct integration avoids user lock-in and provides utility without disrupting existing workflows.
  8. Consider incorporating a social sharing feature to encourage users to showcase their reading progress. Users in similar product launches expressed interest in sharing progress, which may increase engagement.

Questions

  1. What specific, unmet needs of reading enthusiasts will your app address that existing solutions have failed to satisfy?
  2. How can you leverage integrations with existing platforms like Goodreads to provide value without direct competition?
  3. Given the numerous existing book tracking solutions, what is your plan to achieve a unique and defensible competitive advantage?

  • Confidence: High
    • Number of similar products: 12
  • Engagement: Low
    • Average number of comments: 3
  • Net use signal: 15.3%
    • Positive use signal: 15.3%
    • Negative use signal: 0.0%
  • Net buy signal: 0.0%
    • Positive buy signal: 0.0%
    • Negative buy signal: 0.0%

This chart summarizes all the similar products we found for your idea in a single plot.

The x-axis represents the overall feedback each product received. This is calculated from the net use and buy signals that were expressed in the comments. The maximum is +1, which means all comments (across all similar products) were positive, expressed a willingness to use & buy said product. The minimum is -1 and it means the exact opposite.

The y-axis captures the strength of the signal, i.e. how many people commented and how does this rank against other products in this category. The maximum is +1, which means these products were the most liked, upvoted and talked about launches recently. The minimum is 0, meaning zero engagement or feedback was received.

The sizes of the product dots are determined by the relevance to your idea, where 10 is the maximum.

Your idea is the big blueish dot, which should lie somewhere in the polygon defined by these products. It can be off-center because we use custom weighting to summarize these metrics.

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