Should I Build It Should I Build It
03 May 2025
Artificial Intelligence

A to do list that is ai powered and voice first

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

The idea of an AI-powered, voice-first to-do list app falls into a crowded space where many have tried and, frankly, most have failed to create a truly compelling product. We've categorized this as a 'Swamp' idea, meaning numerous similar solutions exist, but none have achieved widespread love or success. With 14 similar products already identified, competition is high, making it even harder to stand out. Engagement with these existing products is low, with an average of only 2 comments per launch. While some launches receive positive initial reactions, the long-term viability of these solutions is questionable. This isn't to discourage you but to encourage you to be realistic about the landscape of voice-first AI to-do lists. Unless you can offer a fundamentally unique value proposition, it will be challenging to differentiate and gain traction.

Recommendations

  1. Given the crowded market, thoroughly investigate why existing AI-powered to-do list apps haven't achieved mainstream success. Analyze their shortcomings in terms of user experience, feature set, marketing, and pricing. This research is crucial to understanding the challenges you'll face and identifying potential gaps to exploit.
  2. If you decide to proceed, target a specific niche or user group with unique needs that are not being adequately addressed by current solutions. For instance, consider focusing on a particular profession (e.g., project managers, healthcare workers) or a specific use case (e.g., collaborative task management, accessibility for users with disabilities). Specialization can help you tailor your app to a dedicated audience and create a stronger value proposition.
  3. Instead of directly competing with established to-do list apps, explore the possibility of building AI-powered tools or integrations that enhance existing platforms. This could involve creating a voice-enabled assistant that works seamlessly with popular task management systems or developing an AI-driven task prioritization engine that can be integrated into other applications. The discussion summaries from other products mention the need for efficient mobile versions so maybe it's worth to consider making an efficient mobile version before anything else.
  4. Consider exploring adjacent problems that might be more promising. For example, instead of focusing solely on to-do lists, you could broaden your scope to encompass a wider range of productivity tools, such as note-taking apps, calendar management systems, or project collaboration platforms. This could open up new opportunities for innovation and differentiation.
  5. Before investing significant time and resources into developing your AI-powered to-do list app, validate your idea through user research and prototyping. Conduct interviews with potential users to understand their pain points, needs, and preferences. Create a simple prototype to demonstrate the core functionality of your app and gather feedback on its usability and value proposition.
  6. Given the low engagement observed in similar product launches, prioritize building a strong community around your app. Actively engage with users on social media, forums, and other online channels. Encourage them to share their feedback, suggestions, and experiences. Building a loyal community can help you gather valuable insights, improve your app, and foster a sense of ownership among your users.
  7. Carefully consider the monetization strategy for your AI-powered to-do list app. Explore different options such as freemium, subscription, or in-app purchases. The decision around monetization will have significant implications on your product development and long-term business strategy. Make sure that the way you monetize the product is not annoying and doesn't interrupt the product flow.
  8. Remember that Draft, a similar product, had user interface issues and problems with task prioritization. Use that information to make a better product.

Questions

  1. What specific pain points or unmet needs will your AI-powered to-do list app address that existing solutions fail to solve, and how will you validate these assumptions?
  2. How will you differentiate your app from the numerous other AI-powered to-do list apps on the market, and what unique value proposition will you offer to attract and retain users in the long run?
  3. Given the low engagement observed in similar product launches, what specific strategies will you employ to build a strong community around your app and foster a sense of ownership among your users?

Your are here

The idea of an AI-powered, voice-first to-do list app falls into a crowded space where many have tried and, frankly, most have failed to create a truly compelling product. We've categorized this as a 'Swamp' idea, meaning numerous similar solutions exist, but none have achieved widespread love or success. With 14 similar products already identified, competition is high, making it even harder to stand out. Engagement with these existing products is low, with an average of only 2 comments per launch. While some launches receive positive initial reactions, the long-term viability of these solutions is questionable. This isn't to discourage you but to encourage you to be realistic about the landscape of voice-first AI to-do lists. Unless you can offer a fundamentally unique value proposition, it will be challenging to differentiate and gain traction.

Recommendations

  1. Given the crowded market, thoroughly investigate why existing AI-powered to-do list apps haven't achieved mainstream success. Analyze their shortcomings in terms of user experience, feature set, marketing, and pricing. This research is crucial to understanding the challenges you'll face and identifying potential gaps to exploit.
  2. If you decide to proceed, target a specific niche or user group with unique needs that are not being adequately addressed by current solutions. For instance, consider focusing on a particular profession (e.g., project managers, healthcare workers) or a specific use case (e.g., collaborative task management, accessibility for users with disabilities). Specialization can help you tailor your app to a dedicated audience and create a stronger value proposition.
  3. Instead of directly competing with established to-do list apps, explore the possibility of building AI-powered tools or integrations that enhance existing platforms. This could involve creating a voice-enabled assistant that works seamlessly with popular task management systems or developing an AI-driven task prioritization engine that can be integrated into other applications. The discussion summaries from other products mention the need for efficient mobile versions so maybe it's worth to consider making an efficient mobile version before anything else.
  4. Consider exploring adjacent problems that might be more promising. For example, instead of focusing solely on to-do lists, you could broaden your scope to encompass a wider range of productivity tools, such as note-taking apps, calendar management systems, or project collaboration platforms. This could open up new opportunities for innovation and differentiation.
  5. Before investing significant time and resources into developing your AI-powered to-do list app, validate your idea through user research and prototyping. Conduct interviews with potential users to understand their pain points, needs, and preferences. Create a simple prototype to demonstrate the core functionality of your app and gather feedback on its usability and value proposition.
  6. Given the low engagement observed in similar product launches, prioritize building a strong community around your app. Actively engage with users on social media, forums, and other online channels. Encourage them to share their feedback, suggestions, and experiences. Building a loyal community can help you gather valuable insights, improve your app, and foster a sense of ownership among your users.
  7. Carefully consider the monetization strategy for your AI-powered to-do list app. Explore different options such as freemium, subscription, or in-app purchases. The decision around monetization will have significant implications on your product development and long-term business strategy. Make sure that the way you monetize the product is not annoying and doesn't interrupt the product flow.
  8. Remember that Draft, a similar product, had user interface issues and problems with task prioritization. Use that information to make a better product.

Questions

  1. What specific pain points or unmet needs will your AI-powered to-do list app address that existing solutions fail to solve, and how will you validate these assumptions?
  2. How will you differentiate your app from the numerous other AI-powered to-do list apps on the market, and what unique value proposition will you offer to attract and retain users in the long run?
  3. Given the low engagement observed in similar product launches, what specific strategies will you employ to build a strong community around your app and foster a sense of ownership among your users?

  • Confidence: High
    • Number of similar products: 14
  • Engagement: Low
    • Average number of comments: 2
  • Net use signal: 30.4%
    • Positive use signal: 30.4%
    • 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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