Sartano Is Here: A Better Way to Discover Fashion
The original launch story for Sartano, a released fashion discovery experiment built around AI-assisted search and swipe-based preferences.
5 June 2026·6 min read
Released product experiment · 2026
What if every swipe made fashion discovery more personal?
Sartano was a working iOS and Android proof of concept released in Australia to test a simple idea: could lightweight swipe feedback, AI-assisted search, and explicit preferences shape a calmer, more useful fashion feed?
Released on iOS & AndroidBuilt in AustraliaEnd-to-end product
What shipped
A complete product, built to test the idea.
The prototype connected intent, swipe feedback, saved products, and outfit generation in one end-to-end mobile experience.
Refine the brief
Swipe the feed
Review outfits
The experiment
Three questions behind the product.
Preference in motion
Sartano tested whether quick like-or-pass decisions could become a useful taste signal without turning discovery into another long questionnaire.
Intent plus taste
Prompts, filters, budgets, profiles, and swipes worked together so the feed could respond to both what someone wanted and what they consistently preferred.
A complete system
The proof of concept connected catalogue ingestion, search, ranking, profiles, saved products, outfits, notifications, subscriptions, and a real mobile release.
Prototype catalogue included
ASOSTHE ICONICMyerCotton OnShowpoGeneral Pants
The experiment used retailer and affiliate product data to test cross-retailer discovery. Sartano was independent unless a partnership was clearly stated.
Project status
The experiment is complete.
Sartano is no longer available to download and its live services have been retired. This site remains as a record of what shipped, the interaction model it explored, and the product thinking behind it.
The journal
Style guidance from Sartano.
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Product data
How the prototype handled product data
Sartano worked with retailer, affiliate-network, and product-feed data to explore how a single preference-led feed could span multiple stores while keeping the source of each product clear.
Retailers remained the merchant of record. The prototype did not process checkout, warehouse products, or sell retailer products directly.
Learn about product dataAn idea tested in the real world.
Sartano moved from concept to a public mobile release, testing how explicit intent and swipe feedback could work together in a personal discovery product.
Read the full project story