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JRJacob RodriShopping·
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take a photo of someone’s outfit and instantly find where to buy it

You see someone on the street, in a film, in a photo. Point your phone at what they're wearing and get the item, or the closest thing that actually exists, with a link. People have been asking for this for a decade and the reason it keeps failing isn't recognition — visual search has been decent for years. It's inventory. Matching a jacket to a picture is easy; knowing that a specific shop has it in a specific size right now means being wired into thousands of retailers who have no interest in being wired into you. So the honest version probably doesn't promise the exact item. It says "this is a cropped olive utility jacket, here are four that look like it, two are in stock". Close enough is genuinely useful. Pretending to be exact and being wrong is what kills trust the first time. Second problem, and it's the one nobody mentions: photographing strangers. Pointing a camera at someone's outfit in public is uncomfortable at best and illegal in some places. The product needs to work well from a screenshot, a saved photo, a film still — and probably shouldn't encourage the street version at all. Third: fast fashion pays affiliate commission, good brands often don't. If the money comes from affiliate links, the results drift toward whoever pays most, and the product quietly becomes an ad. That has to be decided at the start, not patched later.
Pricing thoughts
Free to search — nobody pays before seeing it work. Affiliate on purchases is the obvious model and also the conflict of interest, so it needs to be stated openly and the ranking kept honest. A paid tier that removes affiliate links entirely would probably sell better than expected.
Talk to Jacob
@jacobrodri_Reach out if you want to build it, build it together, or just ask what they had in mind.
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Generated build prompt
Build take a photo of someone’s outfit and instantly find where to buy it.

Context: You see someone on the street, in a film, in a photo. Point your phone at what
they're wearing and get the item, or the closest thing that actually exists, with
a link.

People have been asking for this for a decade and the reason it keeps failing
isn't recognition — visual search has been decent for years. It's inventory.
Matching a jacket to a picture is easy; knowing that a specific shop has it in a
specific size right now means being wired into thousands of retailers who have
no interest in being wired into you.

So the honest version probably doesn't promise the exact item. It says "this is
a cropped olive utility jacket, here are four that look like it, two are in
stock". Close enough is genuinely useful. Pretending to be exact and being wrong
is what kills trust the first time.

Second problem, and it's the one nobody mentions: photographing strangers.
Pointing a camera at someone's outfit in public is uncomfortable at best and
illegal in some places. The product needs to work well from a screenshot, a
saved photo, a film still — and probably shouldn't encourage the street version
at all.

Third: fast fashion pays affiliate commission, good brands often don't. If the
money comes from affiliate links, the results drift toward whoever pays most,
and the product quietly becomes an ad. That has to be decided at the start, not
patched later.

Requirements:
- Ship the smallest version that delivers the core value above, nothing more.
- Pick a stack you can deploy in a day, and state the choice before writing code.
- Handle the empty state, the error state and the offline case explicitly.
- Pricing to build toward: Free to search — nobody pays before seeing it work. Affiliate on purchases is
the obvious model and also the conflict of interest, so it needs to be stated
openly and the ranking kept honest. A paid tier that removes affiliate links
entirely would probably sell better than expected.

Start by listing the screens, then build them one at a time.
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