Should I Build It Should I Build It
01 Jul 2025
Artificial Intelligence Music Tech

AI Music listening app to create sounds based off whatever text input ...

...you put in

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 with your AI music generation app. There are at least 19 other similar products out there, which means competition is stiff. Based on the 'Swamp' category definition, many existing solutions haven't quite hit the mark, suggesting users aren't fully satisfied. The average engagement on these similar products is low, with an average of only 3 comments. This indicates it may be tough to capture user attention, which makes user acquisition and retention challenging. Given the current landscape, it's crucial to understand why existing solutions haven't resonated and what you can do differently to stand out. You should really dig deep into what specific needs you can address that are being overlooked.

Recommendations

  1. Thoroughly analyze the failures and shortcomings of existing AI music generation tools. Focus on the criticisms raised in similar product launches, such as slow generation times (Text to Music AI), mismatches between expectations and functionality (Brev.ai), unclear instructions, and technical issues (I Made an AI Song Generator), and the need for demo examples (Using AI to generate custom sounds from text). Address these pain points head-on to differentiate your product.
  2. Instead of targeting a broad audience, identify a niche market within music creation that is currently underserved. Are there specific genres, types of content creators, or unique applications that existing tools aren't catering to effectively? Focusing on a smaller, more defined user base will allow you to tailor your product and marketing efforts for maximum impact. Examples could be very specific sound styles, musical needs for gamers or tiktokers.
  3. Consider creating tools that enhance the workflows of existing music production software or services, instead of trying to replace them entirely. Explore opportunities to integrate your AI capabilities as a plugin or extension for popular DAWs (Digital Audio Workstations) or online platforms. This approach can provide immediate value to users and establish a foothold in the market without requiring a complete ecosystem shift. This can be a fast path to monetization too.
  4. Given the potential challenges in the AI music generation space, explore adjacent problems that might be more promising. Are there related areas, such as AI-powered audio editing, mastering, or sound design, where your AI expertise could be applied with greater success? Look at where similar skills are useful, but less competition is present.
  5. Focus on clarifying the licensing and commercial use rights for music generated by your AI. Many users are concerned about copyright issues and the ability to monetize their creations. Clearly communicate your policies to build trust and encourage adoption. The comment on MusicMint shows the demand for this info.
  6. Implement user-friendly demo options that don't require immediate sign-up or account creation. Provide pre-generated sound examples and clear instructions to showcase the capabilities of your AI music generator. Address user concerns about accessibility and ease of use highlighted in criticisms of similar products.
  7. Incorporate an 'Explore' page to enable users to share and discover AI-generated music. Foster a sense of community and encourage engagement by allowing users to showcase their creations and provide feedback. The suggestion from Lyricallabs.io users shows the demand.

Questions

  1. What specific technological advantages does your AI algorithm have over existing solutions to justify entering a crowded market?
  2. How will you measure and track user satisfaction to ensure that your AI music generator is meeting the needs of your target audience, especially given the low engagement seen in similar products?
  3. Considering the criticisms about slow audio generation in similar products, what strategies will you employ to optimize the speed and efficiency of your AI-powered music creation process?

Your are here

You're entering a crowded space with your AI music generation app. There are at least 19 other similar products out there, which means competition is stiff. Based on the 'Swamp' category definition, many existing solutions haven't quite hit the mark, suggesting users aren't fully satisfied. The average engagement on these similar products is low, with an average of only 3 comments. This indicates it may be tough to capture user attention, which makes user acquisition and retention challenging. Given the current landscape, it's crucial to understand why existing solutions haven't resonated and what you can do differently to stand out. You should really dig deep into what specific needs you can address that are being overlooked.

Recommendations

  1. Thoroughly analyze the failures and shortcomings of existing AI music generation tools. Focus on the criticisms raised in similar product launches, such as slow generation times (Text to Music AI), mismatches between expectations and functionality (Brev.ai), unclear instructions, and technical issues (I Made an AI Song Generator), and the need for demo examples (Using AI to generate custom sounds from text). Address these pain points head-on to differentiate your product.
  2. Instead of targeting a broad audience, identify a niche market within music creation that is currently underserved. Are there specific genres, types of content creators, or unique applications that existing tools aren't catering to effectively? Focusing on a smaller, more defined user base will allow you to tailor your product and marketing efforts for maximum impact. Examples could be very specific sound styles, musical needs for gamers or tiktokers.
  3. Consider creating tools that enhance the workflows of existing music production software or services, instead of trying to replace them entirely. Explore opportunities to integrate your AI capabilities as a plugin or extension for popular DAWs (Digital Audio Workstations) or online platforms. This approach can provide immediate value to users and establish a foothold in the market without requiring a complete ecosystem shift. This can be a fast path to monetization too.
  4. Given the potential challenges in the AI music generation space, explore adjacent problems that might be more promising. Are there related areas, such as AI-powered audio editing, mastering, or sound design, where your AI expertise could be applied with greater success? Look at where similar skills are useful, but less competition is present.
  5. Focus on clarifying the licensing and commercial use rights for music generated by your AI. Many users are concerned about copyright issues and the ability to monetize their creations. Clearly communicate your policies to build trust and encourage adoption. The comment on MusicMint shows the demand for this info.
  6. Implement user-friendly demo options that don't require immediate sign-up or account creation. Provide pre-generated sound examples and clear instructions to showcase the capabilities of your AI music generator. Address user concerns about accessibility and ease of use highlighted in criticisms of similar products.
  7. Incorporate an 'Explore' page to enable users to share and discover AI-generated music. Foster a sense of community and encourage engagement by allowing users to showcase their creations and provide feedback. The suggestion from Lyricallabs.io users shows the demand.

Questions

  1. What specific technological advantages does your AI algorithm have over existing solutions to justify entering a crowded market?
  2. How will you measure and track user satisfaction to ensure that your AI music generator is meeting the needs of your target audience, especially given the low engagement seen in similar products?
  3. Considering the criticisms about slow audio generation in similar products, what strategies will you employ to optimize the speed and efficiency of your AI-powered music creation process?

  • Confidence: High
    • Number of similar products: 19
  • Engagement: Low
    • Average number of comments: 3
  • Net use signal: 11.6%
    • Positive use signal: 21.4%
    • Negative use signal: 9.8%
  • Net buy signal: -7.0%
    • Positive buy signal: 0.0%
    • Negative buy signal: 7.0%

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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Brev.ai - Create quality music from text instantly, free & online

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Brev.ai is an AI music generator that turns text into music using AI technology. Create high-quality songs and instrumentals effortlessly, perfect for videos, social media, and more. Just enter your text, generate, and download your music.

Brev.ai, an AI music generator, has launched on Product Hunt, generating excitement for its text-to-music feature and potential for video projects. Users praise the UI and adaptable AI sound curation, with some highlighting the good quality and time-saving aspects. Questions arose regarding music quality, originality, genre specification, differences from competitors like Suno, and limitations for free users. Some users found the output different than expected, where it seems to search for existing music rather than generating music. Suggestions include adding a Spotify-like player and improving afrobeat sounds. A user mentioned the unexpectedly smooth and melodious results with good Chinese support.

Users sought further improvements and noted the Afrobeat sound generation leaned towards western sounds. One user expected music creation but found a search engine, indicating a mismatch between expectation and functionality.

blankwebdev

Wow, this is such a cool concept! 🎶 I love the idea of turning text into music – that’s genius! Can’t wait to try it out for my next video project. The variety of styles is a huge plus too; really opens up creative possibilities! It's awesome to see tech making music accessible to everyone. Kudos to the team for making this happen!

ethangabrielfitzgerald

Sounds like a super cool tool! Just checked it out briefly, and it looks very promising. Can't wait to try it out for some of my projects. Congrats!

kyrylosilin

Hey Elizabeth, I'm excited to try the text-to-music conversion feature. How do you handle the variety in music genres? Is there a way to specify a genre or style when generating music? Congrats on the launch!

victor_ubere

This is really cool and it being free is applaudable. Would love to see how much better it can get. Does it carter to none western markets and sounds though because I tried to generate an afrobeat sound but it gives me more of an electronic house kind of sound, which is close enough, that leans more to western sounds than an afrobeat track.

thiagosf

I just tested it and the generated song is amazing 😍!!! Congratulations @elizabeththompson2 ! A client player for these songs to use like Spotify would be really cool 😎.

priya_design

I liked the idea of this product and output is good as well. Just that I thought one can produce music here and it is not a mere search engine. Although when I tried I did not get the convention on this. It would be really cool if I can create nature sounds here, and raw music. For lyrical songs youtube is good enough.

glen_dsouza_

I've seen videos on this before. This is incredibly useful and saves a ton of time. Imagine getting then entire song ready in just 5 mins. The quality of the songs are good too. Absolutely love the work put up by the team

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'suno' not found

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