Should I Build It Should I Build It
19 Apr 2025
Artificial Intelligence Audio

Ai podcast that is generated automatically for each individual user

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Freemium

People love using similar products but resist paying. You’ll need to either find who will pay or create additional value that’s worth paying for.

Should You Build It?

Build but think about differentiation and monetization.

Your are here

You're entering a moderately crowded space with your AI-generated podcast idea. With 20 similar products already out there, it's a competitive landscape, so differentiation is key. Based on the similar product launches, people are interested in AI-generated podcasts, but the net sentiment is mixed. Users have shown a positive reception toward personalized content but also expressed concern over the AI speaker's voice lacking variation. Since the average number of comments is 5, engagement is medium, which means some but not extensive user interaction. Since you fall into the "Freemium" category and people resist paying, make sure to think through your monetization strategy thoroughly, as the name suggests. Build this idea, but make sure that you differentiate it from the competition.

Recommendations

  1. Focus on improving the AI voice quality. Given the consistent feedback across similar products, invest heavily in making the AI-generated voices sound more natural, engaging, and less monotonous. Explore different AI models and fine-tune them for better intonation and emotional expression. Consider incorporating features that allow users to customize the voice to their preferences.
  2. Offer diverse content options to cater to varying user needs. Consider incorporating features such as time-stamping, transcription, and integration with note-taking apps to enhance user engagement and provide added value. Based on the feedback from existing similar products, users are interested in AI's potential to enhance content consumption, so incorporate new features that can keep them happy.
  3. Implement a generous free tier to attract users. Many similar products have benefited from offering free credits or a trial period. This allows potential users to experience the value of your AI-generated podcasts before committing to a paid subscription. Ensure the free tier is valuable enough to entice users to upgrade to a premium plan.
  4. Consider offering additional features and customization options, like the ability to download podcasts or customize accent options, as users have requested these in similar products. Also, analyze other competitors to see what customization options they may provide.
  5. Explore ways to build a community around your platform. Encourage user interaction through comments, forums, or social media groups. This will provide valuable feedback and foster a sense of belonging, increasing user retention. Be sure to implement features for users to report bugs, or provide feedback directly to you. Be transparent when it comes to implementing these changes.
  6. Incorporate an edit feature to let users add more words. One of the criticism for the existing products is the lack of an edit feature, so be sure to create one. This will allow users to customize the podcast to their liking. Also, be sure that they can easily share these podcasts.
  7. Consider the privacy implications of an AI-generated podcast. How much user data do you collect? Do you let them opt out? How do you use that data, and is it possible to make the service work without collecting user data at all?

Questions

  1. Given the concerns around AI replacing human podcasters, how will you position your product to complement rather than compete with human-created content?
  2. How will you measure user engagement and satisfaction beyond basic metrics like listens and downloads? What qualitative data will you collect to understand the true value users are getting from your AI-generated podcasts?
  3. What unique content niches or underserved audiences can you target to differentiate your AI podcast and build a loyal user base? How can you leverage AI to create highly specialized and valuable content for these specific groups?

Your are here

You're entering a moderately crowded space with your AI-generated podcast idea. With 20 similar products already out there, it's a competitive landscape, so differentiation is key. Based on the similar product launches, people are interested in AI-generated podcasts, but the net sentiment is mixed. Users have shown a positive reception toward personalized content but also expressed concern over the AI speaker's voice lacking variation. Since the average number of comments is 5, engagement is medium, which means some but not extensive user interaction. Since you fall into the "Freemium" category and people resist paying, make sure to think through your monetization strategy thoroughly, as the name suggests. Build this idea, but make sure that you differentiate it from the competition.

Recommendations

  1. Focus on improving the AI voice quality. Given the consistent feedback across similar products, invest heavily in making the AI-generated voices sound more natural, engaging, and less monotonous. Explore different AI models and fine-tune them for better intonation and emotional expression. Consider incorporating features that allow users to customize the voice to their preferences.
  2. Offer diverse content options to cater to varying user needs. Consider incorporating features such as time-stamping, transcription, and integration with note-taking apps to enhance user engagement and provide added value. Based on the feedback from existing similar products, users are interested in AI's potential to enhance content consumption, so incorporate new features that can keep them happy.
  3. Implement a generous free tier to attract users. Many similar products have benefited from offering free credits or a trial period. This allows potential users to experience the value of your AI-generated podcasts before committing to a paid subscription. Ensure the free tier is valuable enough to entice users to upgrade to a premium plan.
  4. Consider offering additional features and customization options, like the ability to download podcasts or customize accent options, as users have requested these in similar products. Also, analyze other competitors to see what customization options they may provide.
  5. Explore ways to build a community around your platform. Encourage user interaction through comments, forums, or social media groups. This will provide valuable feedback and foster a sense of belonging, increasing user retention. Be sure to implement features for users to report bugs, or provide feedback directly to you. Be transparent when it comes to implementing these changes.
  6. Incorporate an edit feature to let users add more words. One of the criticism for the existing products is the lack of an edit feature, so be sure to create one. This will allow users to customize the podcast to their liking. Also, be sure that they can easily share these podcasts.
  7. Consider the privacy implications of an AI-generated podcast. How much user data do you collect? Do you let them opt out? How do you use that data, and is it possible to make the service work without collecting user data at all?

Questions

  1. Given the concerns around AI replacing human podcasters, how will you position your product to complement rather than compete with human-created content?
  2. How will you measure user engagement and satisfaction beyond basic metrics like listens and downloads? What qualitative data will you collect to understand the true value users are getting from your AI-generated podcasts?
  3. What unique content niches or underserved audiences can you target to differentiate your AI podcast and build a loyal user base? How can you leverage AI to create highly specialized and valuable content for these specific groups?

  • Confidence: High
    • Number of similar products: 20
  • Engagement: Medium
    • Average number of comments: 5
  • Net use signal: 12.0%
    • Positive use signal: 16.5%
    • Negative use signal: 4.5%
  • Net buy signal: -0.9%
    • Positive buy signal: 0.6%
    • Negative buy signal: 1.5%

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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OK, before you post “who would ever listen to AI-generated podcasts?” please listen to a few. I think you’ll be impressed with the voice quality.What excites me about AI-generated podcasts is not to produce a lot of mediocre quality at scale. But that for the first time ever it becomes economically viable to generate audio content personalized to your individual preferences.I’d love to get your suggestions. But right now I’m considering the following types of data sources:- Local weather forecast - Daily email summary - News headlines for your specific industry - Updates on your (stock) portfolio companiesThe product isn’t quite there yet. But one idea is to provide you with a daily morning episode just for you.Please let me know what you think.

Users appreciate the personalized content offered by AI podcasts but feel that the AI speaker's voice sounds monotonous and needs improvement.

The product is still in development and needs improvement. Additionally, the AI speaker's voice lacks variation and sounds monotonous.

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Users had mixed experiences with the product. One user appreciated the informative 10-minute podcast they received using free credits. Another user questioned the authenticity of a positive product review. A third user mentioned that no content was available, and a fourth user had questions about AI advancements and the podcast content.

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Users criticized the lack of an edit feature for adding more words and reported a bug where podcast generation fails, resulting in a blank screen. Addressing these issues would improve user experience.

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Users criticize GenAI speakers for lacking soul, having stilted dialogue, and tone mismatches. There are questions about the differences from free Google NotebookLM podcasts. The product was originally submitted to HN in May and mentions free online tools.

Users criticized the speakers for lacking soul, having stilted dialogue, and a tone mismatch. Additionally, there was confusion about how the product differs from free Google NotebookLM podcasts.

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Users are interested in AI's potential to enhance content consumption, particularly through customizable experiences in movies, shows, and gaming. There's a demand for AI to provide engaging readings of books and scientific papers, with features like time-stamping. The conversion of texts to audiobooks using AI is also discussed. Podcast listeners desire efficient ad-blocking and easy ad skipping, with some using existing tools like SponsorBlock and Downcast. Questions about podcast suitability for YouTube Music and the legality of ad blockers are raised. Users also express interest in app features like transcript use and integration with note apps. The community's feedback includes both excitement for new features and concerns about accessibility, such as using touch gloves with podcast controls.

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