31 Aug 2025
Analytics

An app where user can check if an app has enough hype before the user ...

...built it. Like an first hype checkwr with likes

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

Your idea for an app that checks the hype level of other apps before development falls into a crowded space we call the "Swamp." This means there are already several similar solutions out there, but none have really taken off. We found 5 similar products, suggesting moderate competition. The engagement level for these products is low, indicated by the average comment count of 0. This lack of engagement highlights the challenge of capturing user interest in this type of app. Given these factors, it's crucial to understand why existing solutions haven't resonated with users before investing further.

Recommendations

  1. Start by thoroughly researching existing solutions that offer similar hype-checking functionality. Analyze user reviews, identify pain points, and understand why these apps haven't achieved widespread adoption. Pay special attention to the feedback provided in the discussion and criticism summaries of similar products.
  2. Consider focusing on a very specific niche or target audience within the app development community. Instead of a general "hype checker," perhaps focus on a specific app category (e.g., gaming, productivity) or development platform (e.g., iOS, Android). This targeted approach can help you tailor the app's features and marketing efforts.
  3. Explore the possibility of creating tools or services that integrate with existing app analytics platforms or developer communities. Instead of building a standalone app, consider offering a feature or plugin that enhances the functionality of established platforms. This approach can leverage existing user bases and reduce the challenge of acquiring new users.
  4. Analyze the "hype" concept itself. What specific metrics or indicators are most important to developers when assessing the potential of their apps? Develop a unique weighting and aggregation method to arrive at the hype score. Are likes truly indicative, or are there other metrics, like mentions in relevant communities, that provide a better signal?
  5. Pivot to focus on a more promising adjacent problem that app developers face. Perhaps an app that helps developers find beta testers, conduct user surveys, or analyze competitor apps. This can expand the feature set and provide a more holistic view to the developer.
  6. Given the low engagement observed in similar products, prioritize building a strong community around your app. Create a forum or social media group where developers can share their experiences, provide feedback, and collaborate on new ideas. This can help increase user engagement and create a sense of loyalty.

Questions

  1. What are the top three reasons why existing app hype-checking solutions have failed to gain traction in the market?
  2. How can you differentiate your app's hype-checking algorithm or methodology from existing solutions to provide a more accurate and reliable assessment of app potential?
  3. What alternative problems faced by app developers might be more promising and offer a greater opportunity for success?

Your are here

Your idea for an app that checks the hype level of other apps before development falls into a crowded space we call the "Swamp." This means there are already several similar solutions out there, but none have really taken off. We found 5 similar products, suggesting moderate competition. The engagement level for these products is low, indicated by the average comment count of 0. This lack of engagement highlights the challenge of capturing user interest in this type of app. Given these factors, it's crucial to understand why existing solutions haven't resonated with users before investing further.

Recommendations

  1. Start by thoroughly researching existing solutions that offer similar hype-checking functionality. Analyze user reviews, identify pain points, and understand why these apps haven't achieved widespread adoption. Pay special attention to the feedback provided in the discussion and criticism summaries of similar products.
  2. Consider focusing on a very specific niche or target audience within the app development community. Instead of a general "hype checker," perhaps focus on a specific app category (e.g., gaming, productivity) or development platform (e.g., iOS, Android). This targeted approach can help you tailor the app's features and marketing efforts.
  3. Explore the possibility of creating tools or services that integrate with existing app analytics platforms or developer communities. Instead of building a standalone app, consider offering a feature or plugin that enhances the functionality of established platforms. This approach can leverage existing user bases and reduce the challenge of acquiring new users.
  4. Analyze the "hype" concept itself. What specific metrics or indicators are most important to developers when assessing the potential of their apps? Develop a unique weighting and aggregation method to arrive at the hype score. Are likes truly indicative, or are there other metrics, like mentions in relevant communities, that provide a better signal?
  5. Pivot to focus on a more promising adjacent problem that app developers face. Perhaps an app that helps developers find beta testers, conduct user surveys, or analyze competitor apps. This can expand the feature set and provide a more holistic view to the developer.
  6. Given the low engagement observed in similar products, prioritize building a strong community around your app. Create a forum or social media group where developers can share their experiences, provide feedback, and collaborate on new ideas. This can help increase user engagement and create a sense of loyalty.

Questions

  1. What are the top three reasons why existing app hype-checking solutions have failed to gain traction in the market?
  2. How can you differentiate your app's hype-checking algorithm or methodology from existing solutions to provide a more accurate and reliable assessment of app potential?
  3. What alternative problems faced by app developers might be more promising and offer a greater opportunity for success?

  • Confidence: Medium
    • Number of similar products: 5
  • Engagement: Low
    • Average number of comments: 0
  • Net use signal: 0.0%
    • Positive use signal: 0.0%
    • 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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