Skip to content
Brief

The Yes

Commerce Media

The Yes used machine learning to create a fully personalized fashion storefront for each shopper, replacing generic search with a continuously improving style feed that acted as a personal stylist at scale.

Last updated May 11, 2026 by the ATDb Editorial Team

Founded
2018
HQ
San Francisco, California, United States
Connections
1

At a glance

Employees
51-200
Funding
$30M
1corporate family

About

Pioneer in AI-personalized fashion discovery, acquired by Pinterest to bolster its shopping recommendation capabilities

The Yes was an AI-driven fashion shopping platform founded in 2018 by Julie Bornstein (former COO of Stitch Fix) and Amit Aggarwal. The app distinguished itself by learning individual style preferences through a binary yes/no swiping mechanic, building a personalized storefront for each user from a curated catalog of fashion brands. Its proprietary machine learning engine analyzed thousands of data points — including fit, color, pattern, and brand affinity — to surface highly relevant product recommendations, effectively acting as a personal stylist at scale. The platform partnered with hundreds of fashion brands and retailers, offering a seamless discovery-to-purchase experience. Unlike traditional e-commerce search, The Yes replaced browsing with a continuously refined feed that improved with every interaction. This approach attracted significant venture backing and positioned the company as a pioneer in AI-native commerce, sitting at the intersection of social discovery, personalization technology, and retail media. In May 2022, Pinterest acquired The Yes for a reported $300 million, signaling the visual discovery platform's ambition to deepen its shopping capabilities. Following the acquisition, The Yes's technology and team were integrated into Pinterest's shopping and recommendation infrastructure. The standalone app was subsequently shut down, and The Yes ceased to exist as an independent brand. The acquisition represented one of the more significant exits in AI-powered commerce, validating the thesis that personalization technology could command substantial value in the evolving retail media landscape.

Business model

Marketplace

Target market

Consumer (B2C)

What they offer

  • The Yes App

    Mobile shopping app featuring a yes/no swiping interface that trained a personalized AI model to surface relevant fashion products for each user

  • Personalized Storefront

    A dynamically generated, individual-specific product feed curated from hundreds of brand partners based on learned style preferences

  • Style Profile Engine

    Proprietary machine learning system that analyzed fit, color, pattern, brand, and behavioral signals to build a continuously refined taste graph for each shopper

Key features

Binary yes/no swiping mechanic for rapid preference captureAI-driven personalized product feedFit and size preference learningMulti-brand catalog aggregationIn-app purchase and checkoutContinuous model improvement with each user interaction

Use cases

Personalized fashion discovery for consumersBrand exposure and product distribution for fashion retailersReplacement of traditional keyword-based fashion searchStyle-based gifting and wardrobe building

Customer segments

Fashion-conscious consumers seeking personalized shoppingFashion brands and retailers seeking discovery channelsMillennial and Gen Z mobile shoppers

Tech & specs

Technology stack

Machine learning / deep learning recommendation modelsNatural language processing for product attributionComputer vision for style and visual similarityMobile-first iOS and Android applicationsCloud infrastructure (AWS)

Security & compliance

CCPAGDPR

Deployment

Cloud

API

No

Corporate history
  • 2018Founded
Connection details

Explore further

3 views