07 May 2025
Design Tools

league of Legends teamuilding website for ranked champion selection ...

...based on your and the opponents current teams and the best current champions and synergies

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Minimal Signal

Thereโ€™s barely any market activity - either because the problem is very niche or not important enough. Youโ€™ll need to prove real demand exists before investing significant time.

Should You Build It?

Not yet, validate more.


Your are here

Your idea for a League of Legends team-building website that suggests champion picks based on team compositions and meta analysis falls into the "Minimal Signal" category. This means there's limited existing market validation for this specific problem, suggesting it might be quite niche. With only two similar products found, our confidence is low, meaning we don't have a strong basis for predicting success, but this doesn't mean it's a bad idea, just that there's more uncertainty. The fact that similar products have low engagement (average comments is 0) further underscores the need for thorough validation before you invest heavily. This is a situation where proving demand is critical because user behavior in the MOBA world is fickle.

Recommendations

  1. Start by deeply understanding the existing champion recommendation resources. Examine websites, apps, and even community-driven spreadsheets that League of Legends players currently use. Identify the specific pain points they experience with these tools โ€“ are they inaccurate, outdated, or lack specific features your idea addresses? Focus on understanding what's missing and how your solution uniquely solves those issues.
  2. Before building anything, actively engage with the League of Legends community. Participate in relevant subreddits (r/LeagueofLegends, r/TeamfightTactics, and champion-specific subreddits), Discord servers, and forums. Present your idea and solicit feedback. Ask specific questions about their current champion selection process, what factors they consider, and what tools they use. This will provide invaluable insights into real user needs and preferences.
  3. Offer manual champion recommendations as a service. Create a simple form where players can input their team compositions and the opposing team. Then, based on your knowledge and available data, provide personalized recommendations. This allows you to test your core algorithm and gather feedback on its accuracy and usefulness without building a full-fledged website.
  4. Develop a simple explainer video demonstrating how your team-building website would work and the benefits it offers. Highlight the specific features that differentiate it from existing resources, such as real-time meta analysis, synergy suggestions, or counter-pick strategies. Track viewership and engagement to gauge initial interest. Use the video to direct people to a landing page to collect email addresses.
  5. Create a landing page with a compelling value proposition and a waiting list. Offer exclusive access or early-bird discounts to those who sign up. This will help you gauge interest and build a community around your product. Consider asking for a small, non-binding deposit to further validate commitment. If you can't find at least five genuinely interested people within a few weeks, you need to seriously re-evaluate your approach or even the idea itself.

Questions

  1. How will you ensure your champion recommendations stay updated with the constant balance changes and meta shifts in League of Legends? What data sources will you rely on, and how frequently will you update your algorithm to maintain accuracy?
  2. What specific problem does your website solve that isn't already addressed by existing resources like Mobalytics, Blitz.gg, or community-created champion guides? What is your unique value proposition, and how will you communicate it effectively to potential users?
  3. Given the low engagement observed in similar products, what specific strategies will you employ to build a strong and active community around your website? How will you encourage users to provide feedback and contribute to the platform's development?

Your are here

Your idea for a League of Legends team-building website that suggests champion picks based on team compositions and meta analysis falls into the "Minimal Signal" category. This means there's limited existing market validation for this specific problem, suggesting it might be quite niche. With only two similar products found, our confidence is low, meaning we don't have a strong basis for predicting success, but this doesn't mean it's a bad idea, just that there's more uncertainty. The fact that similar products have low engagement (average comments is 0) further underscores the need for thorough validation before you invest heavily. This is a situation where proving demand is critical because user behavior in the MOBA world is fickle.

Recommendations

  1. Start by deeply understanding the existing champion recommendation resources. Examine websites, apps, and even community-driven spreadsheets that League of Legends players currently use. Identify the specific pain points they experience with these tools โ€“ are they inaccurate, outdated, or lack specific features your idea addresses? Focus on understanding what's missing and how your solution uniquely solves those issues.
  2. Before building anything, actively engage with the League of Legends community. Participate in relevant subreddits (r/LeagueofLegends, r/TeamfightTactics, and champion-specific subreddits), Discord servers, and forums. Present your idea and solicit feedback. Ask specific questions about their current champion selection process, what factors they consider, and what tools they use. This will provide invaluable insights into real user needs and preferences.
  3. Offer manual champion recommendations as a service. Create a simple form where players can input their team compositions and the opposing team. Then, based on your knowledge and available data, provide personalized recommendations. This allows you to test your core algorithm and gather feedback on its accuracy and usefulness without building a full-fledged website.
  4. Develop a simple explainer video demonstrating how your team-building website would work and the benefits it offers. Highlight the specific features that differentiate it from existing resources, such as real-time meta analysis, synergy suggestions, or counter-pick strategies. Track viewership and engagement to gauge initial interest. Use the video to direct people to a landing page to collect email addresses.
  5. Create a landing page with a compelling value proposition and a waiting list. Offer exclusive access or early-bird discounts to those who sign up. This will help you gauge interest and build a community around your product. Consider asking for a small, non-binding deposit to further validate commitment. If you can't find at least five genuinely interested people within a few weeks, you need to seriously re-evaluate your approach or even the idea itself.

Questions

  1. How will you ensure your champion recommendations stay updated with the constant balance changes and meta shifts in League of Legends? What data sources will you rely on, and how frequently will you update your algorithm to maintain accuracy?
  2. What specific problem does your website solve that isn't already addressed by existing resources like Mobalytics, Blitz.gg, or community-created champion guides? What is your unique value proposition, and how will you communicate it effectively to potential users?
  3. Given the low engagement observed in similar products, what specific strategies will you employ to build a strong and active community around your website? How will you encourage users to provide feedback and contribute to the platform's development?

  • Confidence: Low
    • Number of similar products: 2
  • 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.

Similar products

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