Should I Build It Should I Build It
19 Apr 2025
Marketing

Help tipster to become pro by following the best ones.

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 to help tipsters become pros by following the best ones places you in a crowded and somewhat stagnant market, which we call the 'Swamp' category. With 11 similar products already out there, the competition is considerable. The engagement, measured by average comments, is very low across these similar products. There's no strong signal from existing products that users are actively seeking or paying for such platforms. While the idea of democratizing expertise is appealing, many have tried and most haven't succeeded. You're going to need a truly disruptive angle to avoid sinking into the swamp along with the others.

Recommendations

  1. Given the crowded market, start with thorough research to understand why existing tipster platforms haven't achieved mainstream success. Identify the key pain points and unmet needs that are causing users to churn or avoid these platforms altogether. Look at Todkett, GetGoodAt, and ADPList for insight.
  2. Instead of directly competing, consider building tools or services that enhance existing tipster platforms. By providing value to established players, you can avoid the uphill battle of user acquisition and focus on solving specific problems within the ecosystem.
  3. Focus on a very specific niche within the tipster market. Perhaps focus on sports betting or stock analysis. By tailoring your platform to a particular area of expertise, you can attract a more targeted audience and differentiate yourself from the competition.
  4. Given the lack of explicit buy or use signals, explore alternative business models. Instead of charging users for access to top tipsters, consider offering premium analytics or risk management tools that enhance their decision-making process. If the platform is not profitable, consider an adjacent problem that might be more promising.
  5. In the discussion summary of similar product GetGoodAt, users highlight the value of gamification in making learning easier. Consider adding gamification or community building tools to build stickiness to your product.

Questions

  1. What specific underserved need in the tipster market will your platform address that existing solutions are failing to solve? How will you guarantee that these tipsters are actually 'the best' using verifiable data?
  2. Given the low engagement on similar platforms, how will you incentivize active participation and knowledge sharing among tipsters and their followers?
  3. How will you ensure that your platform complies with regulations regarding financial or sports betting advice, and what steps will you take to mitigate the risk of users making poor investment decisions based on the information provided?

Your are here

Your idea to help tipsters become pros by following the best ones places you in a crowded and somewhat stagnant market, which we call the 'Swamp' category. With 11 similar products already out there, the competition is considerable. The engagement, measured by average comments, is very low across these similar products. There's no strong signal from existing products that users are actively seeking or paying for such platforms. While the idea of democratizing expertise is appealing, many have tried and most haven't succeeded. You're going to need a truly disruptive angle to avoid sinking into the swamp along with the others.

Recommendations

  1. Given the crowded market, start with thorough research to understand why existing tipster platforms haven't achieved mainstream success. Identify the key pain points and unmet needs that are causing users to churn or avoid these platforms altogether. Look at Todkett, GetGoodAt, and ADPList for insight.
  2. Instead of directly competing, consider building tools or services that enhance existing tipster platforms. By providing value to established players, you can avoid the uphill battle of user acquisition and focus on solving specific problems within the ecosystem.
  3. Focus on a very specific niche within the tipster market. Perhaps focus on sports betting or stock analysis. By tailoring your platform to a particular area of expertise, you can attract a more targeted audience and differentiate yourself from the competition.
  4. Given the lack of explicit buy or use signals, explore alternative business models. Instead of charging users for access to top tipsters, consider offering premium analytics or risk management tools that enhance their decision-making process. If the platform is not profitable, consider an adjacent problem that might be more promising.
  5. In the discussion summary of similar product GetGoodAt, users highlight the value of gamification in making learning easier. Consider adding gamification or community building tools to build stickiness to your product.

Questions

  1. What specific underserved need in the tipster market will your platform address that existing solutions are failing to solve? How will you guarantee that these tipsters are actually 'the best' using verifiable data?
  2. Given the low engagement on similar platforms, how will you incentivize active participation and knowledge sharing among tipsters and their followers?
  3. How will you ensure that your platform complies with regulations regarding financial or sports betting advice, and what steps will you take to mitigate the risk of users making poor investment decisions based on the information provided?

  • Confidence: High
    • Number of similar products: 11
  • 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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