Hue Are You
Find the colors that make you look amazing in 60 seconds
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Hue Are You - Find the colors that make you look amazing in 60 seconds

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I was tired of looking washed out on Teams calls. My wife said "get your colors done." I said "$300? No thanks." So I built it. Hue Are You uses AI to analyze your skin tone, undertone, eyes, and hair β€” and tells you your color season, palette, and shopping rules. Same analysis a consultant charges $300 for. 60 seconds. $9.99.

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Maker
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Hey Product Hunt! πŸ‘‹ Mike here, maker of Hue Are You. The origin story is embarrassingly simple: I was on back-to-back Teams calls and couldn't stop staring at my own camera thumbnail thinking I looked way older than I am. My wife suggested I get my colors done. I looked it up β€” $300 for an in-person session. Hard pass. So I figured out how color season analysis actually works and built it myself. One thing I learned quickly: lighting matters β€” not because your season changes, but because bad lighting gives you a wrong result. Professionals always analyze in natural daylight for a reason. So that's what the app asks for: step near a window, take a selfie in natural light, and get a result you can trust. The AI maps you to one of 12 color seasons β€” the same framework professional analysts use β€” and hands you a palette of colors that actually flatter you. $9.99. Done. Would love to hear your color season in the comments! 🎨 Drop it below and tell me if it surprised you.

Curious how the AI handles people with more unusual features like vitiligo or very deep skin tones, does the palette logic actually translate well or does it kind of average things out?

Maker

Β Really good question and one I thought about during development. The color season framework is actually built around undertone, depth, and clarity β€” not skin color in the way most people think about it. Deep skin tones map beautifully to Deep Autumn and Deep Winter especially, and the AI has been tested across a wide range of complexions.

Vitiligo is the more nuanced case. The AI looks at multiple signals across your face rather than a single sample point, which helps β€” but if you have significant depigmentation, I'd be doubly sure of using indirect, natural daylight for the cleanest read. Would love to hear your result if you try it.

Does the AI factor in lighting conditions during the photo upload, since Teams calls and bathroom lighting tend to give wildly different color reads?

Maker

Β Exactly why I built the natural light requirement in from the start β€” it's the same reason professional analysts insist on draping near a window. The app doesn't try to correct for bad lighting because that correction can introduce errors. It just asks you to step into natural daylight and takes it from there. A lot fewer variables, a lot more reliable result.

Tried it after a gray hoodie made me look like a ghost on Zoom. It pinned me as a soft autumn and now I actually know which greens to grab.