10 Apr 2025
Web3

A botnet where people can voluntary sign up and committ their pc ...

...resources and bandwidth to counteract DDOS attacks. The contributing 'nodes' (computers) get a revenue share

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 of a voluntary botnet for DDoS protection, where contributors share their resources for revenue, falls into a crowded and challenging space. We categorize this as a 'Swamp' idea, meaning several similar solutions exist but haven't gained significant traction. With only 3 similar products found, we have medium confidence in this categorization, but given the low engagement (average of 1 comment per similar product), it suggests limited user interest or a lack of excitement around existing solutions. Since there are multiple similar products and engagement is low, this suggests the underlying problem is not that there is no solution, it's that there's no good solution. Without any net positive use or buy signals from the comments of similar products, it's even harder to see any demand for these products. This is a tough starting point.

Recommendations

  1. Before investing further, deeply investigate why existing solutions in the DDoS mitigation and distributed computing space haven't achieved mainstream adoption. What are the common pain points users experience? Are there scalability issues, security vulnerabilities, or economic disincentives that plague current platforms? Identifying these shortcomings is crucial before moving forward.
  2. Given the existence of similar solutions, explore how your botnet can offer a fundamentally different value proposition. Can you provide superior performance, enhanced security, or a more equitable revenue-sharing model compared to existing options? Focus on a niche where current solutions are demonstrably lacking. For example, can you focus on the educational sector?
  3. Instead of directly competing, consider building tools or services that enhance existing DDoS protection platforms. This could involve developing specialized analytics dashboards, automated threat intelligence feeds, or streamlined deployment tools. Integrating with established providers might offer a faster path to market and reduce the burden of building a complete infrastructure from scratch.
  4. Carefully consider your revenue model. The "revenue share" for contributing nodes needs to be compelling enough to incentivize participation, but also sustainable for your business. Explore different pricing tiers, subscription models, or value-added services to ensure long-term financial viability. Consider also a donation model.
  5. Based on feedback from the similar products, focus on building trust and transparency. Clearly communicate how the botnet operates, how user data is handled, and what security measures are in place to prevent abuse. Addressing these concerns upfront can help alleviate user skepticism and build confidence in your platform.
  6. Given the low engagement with similar products, prioritize community building and outreach. Create a forum or online community where users can share feedback, report issues, and collaborate on improving the platform. Engage with potential users on social media and industry events to generate interest and build a loyal following.

Questions

  1. What specific security vulnerabilities exist in current botnet solutions, and how will your architecture address these vulnerabilities to build a more robust and trustworthy platform?
  2. What is the minimum threshold of computing power and bandwidth required to effectively mitigate a significant DDoS attack, and how will your revenue sharing model fairly compensate contributing nodes while remaining profitable?
  3. How do you plan to continuously monitor and adapt your platform to evolving DDoS attack vectors and ensure the botnet remains effective against new and emerging threats?

Your are here

Your idea of a voluntary botnet for DDoS protection, where contributors share their resources for revenue, falls into a crowded and challenging space. We categorize this as a 'Swamp' idea, meaning several similar solutions exist but haven't gained significant traction. With only 3 similar products found, we have medium confidence in this categorization, but given the low engagement (average of 1 comment per similar product), it suggests limited user interest or a lack of excitement around existing solutions. Since there are multiple similar products and engagement is low, this suggests the underlying problem is not that there is no solution, it's that there's no good solution. Without any net positive use or buy signals from the comments of similar products, it's even harder to see any demand for these products. This is a tough starting point.

Recommendations

  1. Before investing further, deeply investigate why existing solutions in the DDoS mitigation and distributed computing space haven't achieved mainstream adoption. What are the common pain points users experience? Are there scalability issues, security vulnerabilities, or economic disincentives that plague current platforms? Identifying these shortcomings is crucial before moving forward.
  2. Given the existence of similar solutions, explore how your botnet can offer a fundamentally different value proposition. Can you provide superior performance, enhanced security, or a more equitable revenue-sharing model compared to existing options? Focus on a niche where current solutions are demonstrably lacking. For example, can you focus on the educational sector?
  3. Instead of directly competing, consider building tools or services that enhance existing DDoS protection platforms. This could involve developing specialized analytics dashboards, automated threat intelligence feeds, or streamlined deployment tools. Integrating with established providers might offer a faster path to market and reduce the burden of building a complete infrastructure from scratch.
  4. Carefully consider your revenue model. The "revenue share" for contributing nodes needs to be compelling enough to incentivize participation, but also sustainable for your business. Explore different pricing tiers, subscription models, or value-added services to ensure long-term financial viability. Consider also a donation model.
  5. Based on feedback from the similar products, focus on building trust and transparency. Clearly communicate how the botnet operates, how user data is handled, and what security measures are in place to prevent abuse. Addressing these concerns upfront can help alleviate user skepticism and build confidence in your platform.
  6. Given the low engagement with similar products, prioritize community building and outreach. Create a forum or online community where users can share feedback, report issues, and collaborate on improving the platform. Engage with potential users on social media and industry events to generate interest and build a loyal following.

Questions

  1. What specific security vulnerabilities exist in current botnet solutions, and how will your architecture address these vulnerabilities to build a more robust and trustworthy platform?
  2. What is the minimum threshold of computing power and bandwidth required to effectively mitigate a significant DDoS attack, and how will your revenue sharing model fairly compensate contributing nodes while remaining profitable?
  3. How do you plan to continuously monitor and adapt your platform to evolving DDoS attack vectors and ensure the botnet remains effective against new and emerging threats?

  • Confidence: Medium
    • Number of similar products: 3
  • Engagement: Low
    • Average number of comments: 1
  • Net use signal: 35.0%
    • Positive use signal: 35.0%
    • 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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