Similar Songs Finder

Find similar songs you'll love

4.7•3 reviews•

317 followers

Find similar songs you'll love

4.7•3 reviews•

317 followers

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Similar Songs Finder helps you find songs you'll love. If you want to create a playlis, all you have to do is enter the song and find hundreds more just like it. Its a great way to generate a playlist you'll love since you already enjoy the song you entered.

Free

Launch tags:Music•Spotify•Electronic Music

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Spotle

Maker

📌

Hi all. I always wanted an easy way to make playlists based on music I listened to. So I made this to help myself and others find more music based on we already love to listen to. I hope you enjoy all of the new music you find. Let me know what you guys think and if there is anything else I should add. Enjoy!!

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2yr ago

Spotle

Maker

@louisa_gendelle Hi, thanks a bunch.

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2yr ago

Spotle

Maker

@meryem_ghazi Thanks :)

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2yr ago

@archivebuttons Well done Steven! It's super cool to have songs finder. Congrats on this amazing launch mate!

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2yr ago

this works great! can you please explain how this works behind the curtains? do you aggregate/recommendations from other sources?

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2yr ago

Spotle

Maker

@zignis Thanks a lot. The way I do it is by first scraping songs from the Spotify api. Then I save off the lyrics and genre. Then I use open ai to make query’s to find songs similar to the entered one. I’m still working on improving it but this was the best way I found to find similar songs.

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2yr ago

@archivebuttons thanks for explaining. you could use each songs's bpm for more accurate results but thats going to be very expensive computation wise (i believe spotify api does not provide bpm). anyways great product.

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2yr ago

Spotle

Maker

@zignis I see thanks. I’ll look into it and see if it gives any better results.

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2yr ago

voam

@archivebuttons another way would be to compute the Fourier Transform and compare those, I believe that’s how Shazam works as well. Just mentioning in case you’re interested.

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2yr ago

Web3 Antivirus for Chrome

Hi Steven! It's great to see someone putting in the effort to make music discovery a more personalized experience. I can see this being super useful for those of us who tend to get stuck in a musical rut. Out of curiosity, how does your Similar Songs Finder ensure the recommendations stay fresh and diverse? Enjoying the project and looking forward to seeing how it evolves!

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2yr ago

PixelFree Studio

This is very cool. I love the concept and will try it out over the weekend. Thank you for such a nice product and congratulations on your launch!

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2yr ago

Spotle

Maker

@philippgeppert Thanks, it means a lot :)

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2yr ago

This is awesome! 🙆‍♂️ I love this app and I will use it and follow up with new-coming features. And congrats on your product launch.

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2yr ago

Spotle

Maker

@lynden_evans It means a lot, thanks do much.

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2yr ago

voam

Ha amazing! I always have this problem where I know there are similar songs I like, but don’t know their titles or artists and Spotify doesn’t bring them up. Let’s see if this helps 😄

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2yr ago

Spotle

Maker

@jopie Yea I also use Spotify a lot but they give me one playlist every week that I might like. Which is honestly not that great and not enough.

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2yr ago

voam

@archivebuttons yeah indeed, and if you listen to it, it just reinforces itself into the same direction, this is great for breaking out of that and exploring other things I imagine.

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2yr ago

CloudDevs - Hire Developers

Happy launch day Steven! Thanks for making such a useful tool available for free! I can't wait to check it out - I'm sure it'll become a firm favorite :)

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2yr ago

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4.7

Based on 3 reviews

Review Similar Songs Finder?

Reviewers offer a narrow but clear take: Similar Songs Finder is useful for discovering more tracks related to a song you already like, but some users want more context around the results. The main request is for genre labeling, especially for niche scenes, so people can better understand what they entered and use the tool to branch into unfamiliar styles. Founder reviews included here do not add concrete details, so the feedback centers mostly on that single user suggestion rather than broader praise or criticism.

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