Launching today

Topit

Launching today

Learn your taste and build your perfect profile per platform

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Learn your taste and build your perfect profile per platform

1 follower

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Topit is an AI photo ranker that builds YOUR best profile around your taste and your context. Your best photo changes depending on where it's going. Topit ranks your camera roll for a destination, so your matchmaking shot on Hinge doesn't get handed to you for LinkedIn. It learns your taste from pairs YOU pick. You never lose yourself to a model that thinks everyone should look the same. Share your project and get friends' votes applied automatically; skip the hassle of your group chat.

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Launch tags:Android•Dating•Photography

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Zendesk for StartupsUp to 2 years free for startups + AI Agents & Copilot

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3 am. Wedding earlier that day. 200 photos on my phone and no idea which ones to post. You've done this. You know the loop. Open the camera roll. Look at the same twelve photos six times. Put the phone down. Pick it back up. Eventually post the one you're least unsure about, having spent an hour to make a decision you don't actually believe in. I couldn't sleep, so I ran the whole batch through Topit. Fifteen minutes later I had the set, in order, ready for the morning. Then I sent it to my girlfriend. She disagreed on a couple, which is the whole point. Two people who both know you can look at the same photos and think completely differently. I decided how her votes got folded in, the order shifted, and that settled it faster than the group chat version of that argument ever does. That's why Topit exists. Not to tell you which photo scores highest. It answers the question of which of these is most me, for this thing, right now. Your photos are supposed to be you, and I didn't want to build something that flattens everyone into the same look.

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15d ago

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13d ago

Six nice photos don't make a good profile

This is the thing most photo tools get wrong, and it took building Topit to see why. Score 40 photos individually, take the top 6, and you get six near-identical headshots. Every one of them is genuinely your best available shot. Together they're a bad profile, because five of the six slots are answering a question the first one already answered.

A good set answers different questions per slot: what you look like, what your build is, what you actually do, who you're around, what's worth asking you about. Once you frame it that way, the math changes completely. A mediocre photo that fills an empty role beats an excellent one that duplicates a filled role, which is not something a scoring model will ever tell you. So we built Topit around set selection rather than ranking, with diversity constraints operating across the whole lineup instead of scoring each photo in isolation. It's also why the same photos come back in a different order depending on whether you're posting to Hinge, Instagram, or LinkedIn: different destination, different set of questions to answer.

The open edge is near-duplicates from burst shots, which are the hardest case because they're genuinely similar, not just alike. If you've built subset selection anywhere else, I'd like to hear what worked. And if you're just a person with a camera roll: would you rather have six great photos, or five great ones plus a weaker one that adds something the others don't?

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