A clothing app that shows you one brand a day. Unbiased facts over marketing (price, materials and reviews from every source) so you buy pieces you are confident in.
A shopping app with no feed. Cura shows one brand a day and judges it on facts (price, materials, reviews from every source), so taste gets built rather than sold.
Sole designer over three months, from interviews to a working build with Claude Code.
Fashion moves fast, and the market moves with it making it easier than ever to buy into a trend. It's more than overconsumption, it's that most people lack a clear sense of their own style, so they default to whatever's accessible.
Both participants were people I knew who already followed fashion, so round 2 recruits outside my network.
People value having unique pieces, something special that makes them confident.
It is thanks to trial and error that people found out what clothes they align with.
Fashion expression is subjective, but an outside perspective influences how someone would dress.
“Finding something that's kind of hard to get or exclusive to get just makes it… gets me going because it makes me want it even more.”
It could not be another feed, because endless browsing is the behavior that causes the problem. It had to run on facts, not marketing, with price, materials and reviews aggregated from all sources.
Taste is subjective, so the app can inform a decision but must not make it. And it was solo, three months, with no team to hand off to.
I ran and synthesized the interviews, framed the problem around one job, buying clothing they are confident in, and designed and built the app. Each decision came from the research:
I am testing that now in round 2, with people outside my network. After that I would test whether the limit holds attention past a week, track cost-per-wear against pieces actually worn, and build a taste profile from what the user rejects, not only what they save.