Should I Build It Should I Build It
01 Aug 2025
Artificial Intelligence

an ai powered elections dashboard showing news & updates about ...

...candidates, voting & elections

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 for AI-powered election dashboards, a category we call the 'Swamp' because many similar ideas have struggled to gain traction. We found 8 similar products, suggesting considerable competition. Engagement with these products is low, with an average of only 1 comment per product, indicating that users aren't particularly excited or invested in these solutions. While there's no strong negative feedback in terms of people explicitly saying they wouldn't use or buy similar products, there's also no positive signal. This means most people aren't expressing a desire to use or pay for them either. To succeed, you'll need a really unique angle that addresses the shortcomings of existing tools and offers something fundamentally different.

Recommendations

  1. Given the 'Swamp' category and the low engagement with similar products, your first step should be thorough market research. Delve deep into why existing election dashboards haven't resonated with users. What are their pain points? What are they missing? Consider interviewing potential users to understand their needs and frustrations.
  2. If, after your research, you still believe in your idea, narrow your focus to a specific, underserved group. Instead of aiming for a broad national audience, could you cater to a particular demographic, geographic region, or political affiliation? Specializing can help you build a loyal user base and differentiate yourself from the competition.
  3. Another avenue to explore is building tools for existing election information providers rather than directly competing with them. Can you create an AI-powered add-on or plugin that enhances their services? This could be a more viable path to market and a way to generate revenue without reinventing the wheel. For example, ElectionGPT had criticisms about data sources so perhaps you can help solve that.
  4. Based on the discussion and criticism summaries from similar products, focus on data transparency and accuracy. Users are concerned about the sources of information and potential errors. Be upfront about where your data comes from, and implement rigorous quality control measures to ensure its reliability. This is critical to building trust with your audience.
  5. Consider starting small, perhaps with a focus on local elections in a specific city or county, as suggested by feedback on similar products. This allows you to refine your product, gather user feedback, and build a strong foundation before scaling up to larger, more complex elections.
  6. Explore adjacent problems that might be more promising. Is there a related issue in the election space that's not being adequately addressed? Perhaps you could pivot to focus on voter education, campaign finance reform, or misinformation detection. These areas might offer more opportunities for innovation and impact.

Questions

  1. Considering the low engagement with existing election dashboards, what unique value proposition will your product offer that will compel users to actively use and engage with it?
  2. Given the concerns about data sources and accuracy in similar products, what specific measures will you take to ensure the reliability and transparency of the information presented in your dashboard?
  3. Knowing that similar products have struggled to gain traction, what is your specific go-to-market strategy for reaching your target audience and building a sustainable user base?

Your are here

You're entering a crowded space for AI-powered election dashboards, a category we call the 'Swamp' because many similar ideas have struggled to gain traction. We found 8 similar products, suggesting considerable competition. Engagement with these products is low, with an average of only 1 comment per product, indicating that users aren't particularly excited or invested in these solutions. While there's no strong negative feedback in terms of people explicitly saying they wouldn't use or buy similar products, there's also no positive signal. This means most people aren't expressing a desire to use or pay for them either. To succeed, you'll need a really unique angle that addresses the shortcomings of existing tools and offers something fundamentally different.

Recommendations

  1. Given the 'Swamp' category and the low engagement with similar products, your first step should be thorough market research. Delve deep into why existing election dashboards haven't resonated with users. What are their pain points? What are they missing? Consider interviewing potential users to understand their needs and frustrations.
  2. If, after your research, you still believe in your idea, narrow your focus to a specific, underserved group. Instead of aiming for a broad national audience, could you cater to a particular demographic, geographic region, or political affiliation? Specializing can help you build a loyal user base and differentiate yourself from the competition.
  3. Another avenue to explore is building tools for existing election information providers rather than directly competing with them. Can you create an AI-powered add-on or plugin that enhances their services? This could be a more viable path to market and a way to generate revenue without reinventing the wheel. For example, ElectionGPT had criticisms about data sources so perhaps you can help solve that.
  4. Based on the discussion and criticism summaries from similar products, focus on data transparency and accuracy. Users are concerned about the sources of information and potential errors. Be upfront about where your data comes from, and implement rigorous quality control measures to ensure its reliability. This is critical to building trust with your audience.
  5. Consider starting small, perhaps with a focus on local elections in a specific city or county, as suggested by feedback on similar products. This allows you to refine your product, gather user feedback, and build a strong foundation before scaling up to larger, more complex elections.
  6. Explore adjacent problems that might be more promising. Is there a related issue in the election space that's not being adequately addressed? Perhaps you could pivot to focus on voter education, campaign finance reform, or misinformation detection. These areas might offer more opportunities for innovation and impact.

Questions

  1. Considering the low engagement with existing election dashboards, what unique value proposition will your product offer that will compel users to actively use and engage with it?
  2. Given the concerns about data sources and accuracy in similar products, what specific measures will you take to ensure the reliability and transparency of the information presented in your dashboard?
  3. Knowing that similar products have struggled to gain traction, what is your specific go-to-market strategy for reaching your target audience and building a sustainable user base?

  • Confidence: High
    • Number of similar products: 8
  • Engagement: Low
    • Average number of comments: 1
  • Net use signal: 15.5%
    • Positive use signal: 15.5%
    • 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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Thank you! I'm planning on doing all of CA starting with my city

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Users suggest focusing on one state initially to ensure better implementation and effectiveness.

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