24 Apr 2025
Web App

I have an app idea where you input your app idea and it tells you if ...

...you should build it or not

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Freemium

People love using similar products but resist paying. You’ll need to either find who will pay or create additional value that’s worth paying for.

Should You Build It?

Build but think about differentiation and monetization.


Your are here

Your idea for an app that validates other app ideas puts you in the 'Freemium' category. This means that while people are generally interested in the idea of such a tool (n_matches = 23, implies high competition), convincing them to pay for it might be tricky. Think of it this way: everyone wants feedback, but not everyone values it enough to open their wallet. The similar products have medium engagement (avg n_comments = 6), meaning there is some interest, but its not exactly going viral. To make this work, you'll need to really nail down what makes your validator unique and valuable enough that people are willing to pay for premium features or access.

Recommendations

  1. Given the criticisms of similar products, especially regarding inaccuracy and bias, your first step should be to rigorously test and refine your validation algorithm. Focus on making sure it provides insightful, realistic feedback and avoids simply invalidating potentially successful ideas, as one user pointed out they can simply use Google Docs. Publicly document your methodology to build trust and demonstrate transparency.
  2. Since privacy and security were a concern for similar idea validation platforms, you need to clearly communicate how you're protecting user's ideas. Consider using secure data storage and implementing encryption to minimize the risk of intellectual property being exposed and stolen. Implement a clear terms of service document with legal disclaimers to protect yourself.
  3. Identify the core problem your validator solves and who benefits most from it. Are you targeting solopreneurs, startups, or enterprise innovators? Once you identify these people, offer a completely free version but gate off more useful features. For example, offer idea validation, but for more detailed competitive analysis or market research, require a subscription.
  4. Based on the 'Freemium' category recommendation, create a premium feature set that solves a clear, high-value problem for your target users. This could be detailed competitor analysis, market research reports, or personalized consulting sessions. Focus on features that save users time and money or improve their chances of success.
  5. Explore charging teams or organizations for access to your tool, as larger entities may be more willing to pay for a robust validation process. Tailor features to address team-specific needs, such as collaborative brainstorming and project management tools. This approach also fits with the freemium model - offer it free to individuals, but premium for companies.
  6. Offer personalized support or consulting services to users who want more in-depth guidance. This is a great way to monetize your expertise and build stronger relationships with your customers. Frame this as not only validation, but consulting or mentoring, since people are often willing to pay for that.
  7. Experiment with different pricing models and packages to find the sweet spot that maximizes revenue while still providing value to your users. Use A/B testing and user feedback to optimize your pricing strategy and ensure it aligns with user needs. A good starting point is to offer a free trial and then a limited-time discounted rate. It's important to iterate quickly and collect data here.

Questions

  1. Given the mixed feedback on similar products, how will you ensure your validation process is perceived as fair, accurate, and valuable, rather than biased or simply echoing existing knowledge?
  2. Considering the concerns about privacy and security raised by users of similar platforms, what specific measures will you take to protect user data and intellectual property, and how will you communicate these measures to build trust?
  3. What are the key differentiators of your idea validation process that will convince users to choose your app over existing alternatives, and how will you effectively communicate these differentiators in your marketing and product messaging?

Your are here

Your idea for an app that validates other app ideas puts you in the 'Freemium' category. This means that while people are generally interested in the idea of such a tool (n_matches = 23, implies high competition), convincing them to pay for it might be tricky. Think of it this way: everyone wants feedback, but not everyone values it enough to open their wallet. The similar products have medium engagement (avg n_comments = 6), meaning there is some interest, but its not exactly going viral. To make this work, you'll need to really nail down what makes your validator unique and valuable enough that people are willing to pay for premium features or access.

Recommendations

  1. Given the criticisms of similar products, especially regarding inaccuracy and bias, your first step should be to rigorously test and refine your validation algorithm. Focus on making sure it provides insightful, realistic feedback and avoids simply invalidating potentially successful ideas, as one user pointed out they can simply use Google Docs. Publicly document your methodology to build trust and demonstrate transparency.
  2. Since privacy and security were a concern for similar idea validation platforms, you need to clearly communicate how you're protecting user's ideas. Consider using secure data storage and implementing encryption to minimize the risk of intellectual property being exposed and stolen. Implement a clear terms of service document with legal disclaimers to protect yourself.
  3. Identify the core problem your validator solves and who benefits most from it. Are you targeting solopreneurs, startups, or enterprise innovators? Once you identify these people, offer a completely free version but gate off more useful features. For example, offer idea validation, but for more detailed competitive analysis or market research, require a subscription.
  4. Based on the 'Freemium' category recommendation, create a premium feature set that solves a clear, high-value problem for your target users. This could be detailed competitor analysis, market research reports, or personalized consulting sessions. Focus on features that save users time and money or improve their chances of success.
  5. Explore charging teams or organizations for access to your tool, as larger entities may be more willing to pay for a robust validation process. Tailor features to address team-specific needs, such as collaborative brainstorming and project management tools. This approach also fits with the freemium model - offer it free to individuals, but premium for companies.
  6. Offer personalized support or consulting services to users who want more in-depth guidance. This is a great way to monetize your expertise and build stronger relationships with your customers. Frame this as not only validation, but consulting or mentoring, since people are often willing to pay for that.
  7. Experiment with different pricing models and packages to find the sweet spot that maximizes revenue while still providing value to your users. Use A/B testing and user feedback to optimize your pricing strategy and ensure it aligns with user needs. A good starting point is to offer a free trial and then a limited-time discounted rate. It's important to iterate quickly and collect data here.

Questions

  1. Given the mixed feedback on similar products, how will you ensure your validation process is perceived as fair, accurate, and valuable, rather than biased or simply echoing existing knowledge?
  2. Considering the concerns about privacy and security raised by users of similar platforms, what specific measures will you take to protect user data and intellectual property, and how will you communicate these measures to build trust?
  3. What are the key differentiators of your idea validation process that will convince users to choose your app over existing alternatives, and how will you effectively communicate these differentiators in your marketing and product messaging?

  • Confidence: High
    • Number of similar products: 23
  • Engagement: Medium
    • Average number of comments: 6
  • Net use signal: 9.3%
    • Positive use signal: 16.1%
    • Negative use signal: 6.8%
  • Net buy signal: -4.8%
    • Positive buy signal: 0.0%
    • Negative buy signal: 4.8%

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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Users criticized the product's core value proposition and expressed concerns about bias in its sorting methods, questioning whether it relies on statistics or qualitative analysis. Several users felt the results were poor and invalidate successful businesses, indicating flaws in its validation process. Some perceived it as idea farming for personal gain. The meaning and effectiveness of the percentage match were also questioned, with one user citing a 'terrible' idea based on a low validator score.


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