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).
Hey Product Hunt! 👋
As an indie developer and music creator, I've always been frustrated by how most stem-separation tools force you to upload your unreleased projects, rough demos, or copyrighted music to cloud-based servers. It always felt a bit risky.
So, I built OffgridStem to solve this. It handles 4-stem separation entirely on-device using local compute. No cloud dependencies, no accounts required, and zero audio files leave your phone.
I’d love to hear what you guys think, especially from fellow producers and creators. Let me know if you have any feedback or feature requests!
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About OffgridStem on Product Hunt
“An offline 4-stem separator for iOS.”
OffgridStem was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #154 on the daily leaderboard. OffgridStem is a privacy-first, on-device audio tool for iOS that splits any track into 4 distinct stems without cloud uploads.
OffgridStem was featured in iOS (110.6k followers), Music (53.5k followers) and Privacy (11.3k followers) on Product Hunt. Together, these topics include over 56.7k products, making this a competitive space to launch in.
Who hunted OffgridStem?
OffgridStem was hunted by Nickel Choi. 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 OffgridStem stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.