Should I Build It Should I Build It
20 May 2025
Investing

Stock Analysis App that given users a good overview of a stock and ...

...weather to buy it or not

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 entering a crowded space with your stock analysis app, as evidenced by the 24 similar products we found. This puts your idea squarely in the "Swamp" category, meaning you'll face significant challenges in standing out. The average engagement for these types of products is low, with an average of just 2 comments, suggesting it's hard to grab and maintain user attention. Given these factors, it's crucial to differentiate your product significantly, or you'll risk getting lost in the noise. Many users want more openness. Some comments noted a lack of content or were not available. People also want custom screeners and watchlists without signing up.

Recommendations

  1. Begin by thoroughly researching why existing stock analysis solutions haven’t fully succeeded. Don't just look at the features they offer, but delve into user reviews, identify pain points, and understand what unmet needs exist. For example, multiple solutions have been criticized for a lack of differentiation, so spend the time to understand what the users truly need.
  2. If you decide to proceed, focus on identifying a specific niche or group of investors who are currently underserved. Instead of trying to be everything to everyone, tailor your app to a particular investment style (e.g., value investing, growth investing, ESG investing) or a specific demographic (e.g., young investors, retirees). Then go deep into the specific needs of your audience.
  3. Consider focusing on building tools or enhancements for existing stock analysis platforms rather than creating a standalone app. You could develop a plugin or API that adds unique functionality to popular platforms, thereby tapping into their existing user base and infrastructure. This is a good initial validation step before investing in your own product.
  4. Explore adjacent problems within the finance or investment space that might offer more promising opportunities. For example, you could focus on building tools for financial advisors, creating educational resources for new investors, or developing solutions for managing personal finances. Think of a product that is on the edge of stock analysis and that could bring novel value.
  5. Before dedicating significant time and resources to this idea, seriously evaluate whether it aligns with your strengths and passions. Stock analysis is a complex and competitive field, so it's important to be realistic about your chances of success. Given the high level of competition indicated by the number of similar products, it may be wise to save your energy for a different project.

Questions

  1. What specific problem are you solving for investors that isn't adequately addressed by existing stock analysis apps, and how can you prove this need exists before building the product?
  2. Given the low average engagement observed in similar products, how will you design your app to capture and maintain user interest, and what metrics will you use to measure its effectiveness?
  3. How will you incorporate user feedback from the launch and iterate the product based on that to make sure you’re delivering the most accurate AI summaries?

Your are here

You're entering a crowded space with your stock analysis app, as evidenced by the 24 similar products we found. This puts your idea squarely in the "Swamp" category, meaning you'll face significant challenges in standing out. The average engagement for these types of products is low, with an average of just 2 comments, suggesting it's hard to grab and maintain user attention. Given these factors, it's crucial to differentiate your product significantly, or you'll risk getting lost in the noise. Many users want more openness. Some comments noted a lack of content or were not available. People also want custom screeners and watchlists without signing up.

Recommendations

  1. Begin by thoroughly researching why existing stock analysis solutions haven’t fully succeeded. Don't just look at the features they offer, but delve into user reviews, identify pain points, and understand what unmet needs exist. For example, multiple solutions have been criticized for a lack of differentiation, so spend the time to understand what the users truly need.
  2. If you decide to proceed, focus on identifying a specific niche or group of investors who are currently underserved. Instead of trying to be everything to everyone, tailor your app to a particular investment style (e.g., value investing, growth investing, ESG investing) or a specific demographic (e.g., young investors, retirees). Then go deep into the specific needs of your audience.
  3. Consider focusing on building tools or enhancements for existing stock analysis platforms rather than creating a standalone app. You could develop a plugin or API that adds unique functionality to popular platforms, thereby tapping into their existing user base and infrastructure. This is a good initial validation step before investing in your own product.
  4. Explore adjacent problems within the finance or investment space that might offer more promising opportunities. For example, you could focus on building tools for financial advisors, creating educational resources for new investors, or developing solutions for managing personal finances. Think of a product that is on the edge of stock analysis and that could bring novel value.
  5. Before dedicating significant time and resources to this idea, seriously evaluate whether it aligns with your strengths and passions. Stock analysis is a complex and competitive field, so it's important to be realistic about your chances of success. Given the high level of competition indicated by the number of similar products, it may be wise to save your energy for a different project.

Questions

  1. What specific problem are you solving for investors that isn't adequately addressed by existing stock analysis apps, and how can you prove this need exists before building the product?
  2. Given the low average engagement observed in similar products, how will you design your app to capture and maintain user interest, and what metrics will you use to measure its effectiveness?
  3. How will you incorporate user feedback from the launch and iterate the product based on that to make sure you’re delivering the most accurate AI summaries?

  • Confidence: High
    • Number of similar products: 24
  • Engagement: Low
    • Average number of comments: 2
  • Net use signal: 12.6%
    • Positive use signal: 17.1%
    • Negative use signal: 4.6%
  • Net buy signal: -2.0%
    • Positive buy signal: 2.6%
    • Negative buy signal: 4.6%

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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