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Cue
Ask what's off in your track. Values, visuals, and the why.
You describe the problem. Cue gives you the settings, the visuals, and the reasoning: exact frequencies, ratios, starting points. With EQ curves, compressor graphs, and synth parameters explained for your specific track. For producers who want to understand, not just copy.
Hey PH. I'm Isaac, a music producer and developer from Stockholm.
Most AI music tools are generative. They write chords, produce beats, finish songs. Hand it over, get something back. I get the appeal. But same pattern underneath: producer hits a wall, Googles, opens twelve tabs, still can't find an answer for their track, then turns to a generator. It's not the shortcut they wanted. The slow path just lost.
Producers don't want decisions made for them. They want to understand their own. But when something feels off, the options aren't built for that. A YouTube tutorial that's close enough isn't your track, your genre, or your specific problem. And you can't ask a follow-up.
So I built Cue. You describe what's not working in plain language, mid-session, and it gives you the specifics: exact frequencies, compression ratios, starting points. With visualizers that show what those settings actually mean for your sound.
The thing I cared most about was the why. Cue is an attempt to make the why arrive as fast as the generated track would. So when you get stuck, learning stays an option. And the decisions start feeling like yours.
Free at startcue.io. What's the production problem you keep hitting a wall on? Drop it in the comments. I read everything.
About Cue on Product Hunt
“Ask what's off in your track. Values, visuals, and the why.”
Cue was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #6 on the daily leaderboard. You describe the problem. Cue gives you the settings, the visuals, and the reasoning: exact frequencies, ratios, starting points. With EQ curves, compressor graphs, and synth parameters explained for your specific track. For producers who want to understand, not just copy.
On the analytics side, Cue competes within Music, Education and Artificial Intelligence — topics that collectively have 601k followers on Product Hunt. The dashboard above tracks how Cue performed against the three products that launched closest to it on the same day.
Who hunted Cue?
Cue was hunted by isaac. 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.
For a complete overview of Cue including community comment highlights and product details, visit the product overview.
isaac
Hey PH. I'm Isaac, a music producer and developer from Stockholm.
Most AI music tools are generative. They write chords, produce beats, finish songs. Hand it over, get something back. I get the appeal. But same pattern underneath: producer hits a wall, Googles, opens twelve tabs, still can't find an answer for their track, then turns to a generator. It's not the shortcut they wanted. The slow path just lost.
Producers don't want decisions made for them. They want to understand their own. But when something feels off, the options aren't built for that. A YouTube tutorial that's close enough isn't your track, your genre, or your specific problem. And you can't ask a follow-up.
So I built Cue. You describe what's not working in plain language, mid-session, and it gives you the specifics: exact frequencies, compression ratios, starting points. With visualizers that show what those settings actually mean for your sound.
The thing I cared most about was the why. Cue is an attempt to make the why arrive as fast as the generated track would. So when you get stuck, learning stays an option. And the decisions start feeling like yours.
Free at startcue.io. What's the production problem you keep hitting a wall on? Drop it in the comments. I read everything.