This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
FindGenre uses AI to identify music across a wide range of genres from an audio upload or a YouTube or SoundCloud link. It provides a genre prediction with a confidence score and is especially strong at distinguishing closely related electronic subgenres like Melodic Techno, Progressive House, Tech House, and Trance as well as different genre's of rock. We are constantly improving the model to provide more accurate results.
I built FindGenre because I was constantly running into tracks that were difficult to classify—especially within electronic music and rock, where the lines between genres and subgenres can be subjective. Existing tools were often too broad or inaccurate. I wanted to create a simple AI-powered tool that helps producers, DJs, labels, and music fans identify genres more consistently and better understand where a track fits. Training the model required an extensive library of 15000 tracks and some genre's had to be classified by actually listening to the music to limit genre bleed as I call it.
On a technical level, I wanted to leverage my career in DevOps to separate FIndGenre into distinct microservices with the actual genre classifier a serverless gpu instance group which makes classification faster and is cost effective.
Curious how it handles remixes or mashups that blend two genres, does it just pick the dominant one or give you a split breakdown?
how well does it handle tracks that blend multiple genres, like something halfway between progressive house and melodic techno, does the confidence score reflect that mix or just pick one?
About FindGenre on Product Hunt
“Find your track's genre with AI audio analysis”
FindGenre was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #146 on the daily leaderboard. FindGenre uses AI to identify music across a wide range of genres from an audio upload or a YouTube or SoundCloud link. It provides a genre prediction with a confidence score and is especially strong at distinguishing closely related electronic subgenres like Melodic Techno, Progressive House, Tech House, and Trance as well as different genre's of rock. We are constantly improving the model to provide more accurate results.
FindGenre was featured in Music (53.5k followers), Artificial Intelligence (473.1k followers) and Electronic Music (1.1k followers) on Product Hunt. Together, these topics include over 115.3k products, making this a competitive space to launch in.
Who hunted FindGenre?
FindGenre was hunted by Oren Cohen. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how FindGenre stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Oren Cohen