Buyers couldn’t
picture it.
So I designed
the whole picture.
Martch is a personal AI art curator. As founding designer, I shaped the product with the lead founder and designed the buyer’s journey end to end.
Pre-seed prototype, not shipped. No usage data yet.
“I need this on my living room wall.”
One buyer, one painting
Buyers love finding art on their phones. Few buy it there.
Three doubts kept coming up in our research: where to start, whether it will fit, and whether it can be trusted. Martch answers each one the moment it comes up.
29%
of online art buyers buy on their phone.
Hiscox Online Art Trade Report 2023
“How do I even start buying real art?”
“Will it fit above my sofa?”
“Can I trust it without seeing it in person?”
Stop 1 · Your taste
“How do I even start buying real art?”
My call
Let buyers show their taste, not explain it.
Most buyers can’t name a style, but they know it when they see it. So they start with three picks, and Martch learns the textures, palettes and forms behind them. Every match explains itself in those terms, so the AI feels like a curator, not a black box.
Trade-off: three picks are a first read, not a full profile. Every swipe sharpens it.
Stop 2 · Your wall
“Will it fit above my sofa?”
My call
Let the wall decide, not the thumbnail.
One tap opens the camera and hangs the piece on the buyer’s wall at real size, price beside it, so they judge it where it will actually live.
Stop 3 · Safe purchase
“Can I trust it without seeing it in person?”
My call
Make a $1,500 purchase feel safe.
Every piece is checked before it’s listed. At checkout, Martch holds the payment until the buyer confirms it arrived as promised.
Back to the sofa
It’s a match.
Three doubts answered. One painting on the wall.
Echoes of silence · 100 × 105 cm · On the wall
Beyond the buyer
One curator, two sides of the market.
I also designed the curator chat and the artist side.
Curator chat
For buyers
A chat curator that already knows their taste.
Artist insights
For artists
AI insights on what sells, and how their work’s value grows.
How I worked
AI read the market.
I checked every number.
NotebookLM helped me work through the market reports and compare six competitors across 13 features. Those findings shaped what each feature does.
9 in 10 left at the door. I found out why.
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