19 Apr 2025
Music

A site that allows users, likely Dj’s or music fanatics, to drop in ...

...the link of a DJ set / mix on YouTube and the automatically Shazam the various different songs in the set. The songs could be saved to a user profile so that the Dj’s and music fanatics could aggregate new music tracks over time

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Minimal Signal

There’s barely any market activity - either because the problem is very niche or not important enough. You’ll need to prove real demand exists before investing significant time.

Should You Build It?

Not yet, validate more.


Your are here

The idea of automatically identifying songs in DJ sets or mixes from YouTube caters to a niche market, primarily DJs and music enthusiasts. The 'Minimal Signal' category accurately describes the current landscape, as evidenced by the low number of similar products (n_matches=1). This suggests that either the problem isn't widely felt or current solutions are sufficient for most users. Given the lack of user engagement in similar ventures (avg n_comments=0), it's crucial to validate demand before significant investment. You're in a phase where proving genuine interest is paramount, and that requires direct engagement with your target audience to see if your proposed solution resonates with them.

Recommendations

  1. Begin by identifying online communities (Reddit, Discord, forums) frequented by DJs and music fanatics. Share your idea and actively solicit feedback. A simple survey or poll can help gauge interest and identify potential users, but be prepared for constructive criticism and pivot accordingly.
  2. Manually offer to identify songs in a few DJ sets for potential users. This allows you to understand their needs and refine your solution. This concierge MVP approach is an excellent way to gather valuable feedback and iterate on your idea without building a fully automated product.
  3. Create a compelling explainer video demonstrating how your solution works and the value it provides. Share it within your target communities and track views, engagement, and feedback. This video should clearly articulate the problem you're solving and why your solution is unique.
  4. Gauge commitment by asking interested users for a small deposit to join a waiting list for your product. This can serve as a valuable signal of intent. Use a landing page with clear messaging about the product, its benefits, and the timeline for launch. Be transparent about the development process and keep your early supporters updated.
  5. Set a clear goal: If you cannot secure 5 paying members to your waiting list within a 3-week period, it's a strong signal that the idea needs further refinement or a complete pivot. Be open to exploring alternative solutions, target audiences, or business models.
  6. Explore integrating with existing music platforms or DJ software. Partnerships could offer access to a wider audience and streamline the user experience. Consider reaching out to relevant companies or developers to explore potential collaborations.

Questions

  1. What are the existing solutions (manual or automated) that DJs and music fans currently use to identify songs in mixes? How will your solution be meaningfully better?
  2. How much time and effort do DJs typically spend identifying tracks in a mix? Is there a quantifiable need that justifies the use of your service, and that they would be willing to pay for?
  3. What are the legal implications of automatically identifying and saving music tracks from YouTube, particularly concerning copyright and licensing? What steps can be taken to ensure compliance?

Your are here

The idea of automatically identifying songs in DJ sets or mixes from YouTube caters to a niche market, primarily DJs and music enthusiasts. The 'Minimal Signal' category accurately describes the current landscape, as evidenced by the low number of similar products (n_matches=1). This suggests that either the problem isn't widely felt or current solutions are sufficient for most users. Given the lack of user engagement in similar ventures (avg n_comments=0), it's crucial to validate demand before significant investment. You're in a phase where proving genuine interest is paramount, and that requires direct engagement with your target audience to see if your proposed solution resonates with them.

Recommendations

  1. Begin by identifying online communities (Reddit, Discord, forums) frequented by DJs and music fanatics. Share your idea and actively solicit feedback. A simple survey or poll can help gauge interest and identify potential users, but be prepared for constructive criticism and pivot accordingly.
  2. Manually offer to identify songs in a few DJ sets for potential users. This allows you to understand their needs and refine your solution. This concierge MVP approach is an excellent way to gather valuable feedback and iterate on your idea without building a fully automated product.
  3. Create a compelling explainer video demonstrating how your solution works and the value it provides. Share it within your target communities and track views, engagement, and feedback. This video should clearly articulate the problem you're solving and why your solution is unique.
  4. Gauge commitment by asking interested users for a small deposit to join a waiting list for your product. This can serve as a valuable signal of intent. Use a landing page with clear messaging about the product, its benefits, and the timeline for launch. Be transparent about the development process and keep your early supporters updated.
  5. Set a clear goal: If you cannot secure 5 paying members to your waiting list within a 3-week period, it's a strong signal that the idea needs further refinement or a complete pivot. Be open to exploring alternative solutions, target audiences, or business models.
  6. Explore integrating with existing music platforms or DJ software. Partnerships could offer access to a wider audience and streamline the user experience. Consider reaching out to relevant companies or developers to explore potential collaborations.

Questions

  1. What are the existing solutions (manual or automated) that DJs and music fans currently use to identify songs in mixes? How will your solution be meaningfully better?
  2. How much time and effort do DJs typically spend identifying tracks in a mix? Is there a quantifiable need that justifies the use of your service, and that they would be willing to pay for?
  3. What are the legal implications of automatically identifying and saving music tracks from YouTube, particularly concerning copyright and licensing? What steps can be taken to ensure compliance?

  • Confidence: Low
    • Number of similar products: 1
  • Engagement: Low
    • Average number of comments: 0
  • Net use signal: 0.0%
    • Positive use signal: 0.0%
    • 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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We've all seen those YouTube videos: a single static image that plays over a sequence of multiple songs, effectively creating a "playlist video." I frequently enjoy music this way, thanks to curators who compile multiple tracks into these singular videos.This led me to build youtube2p.com. I want simple website, which gets Youtube url as an input and creates new playlist automatically, into streaming services like YT Music, Spotify, and Apple Music.Simply changing "youtube.com" in the URL to "youtube2p.com"(Add '2p'), it can convert these multi-song videos into traditional playlists.Please note:- YT Music is available to everyone- Spotify integration is currently "invitation-only." (Fill the form in convert page, and I'll invite you!)- Apple Music support is under active development.I hope you like it!


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