Lyst operates a curated fashion aggregation platform serving 160M+ shoppers annually across premium and luxury inventory. The tech stack—Python/Django/React on AWS with Postgres—is optimized for search and personalization, while active projects signal a shift toward multimodal discovery (image-led search), AI-driven ranking, and checkout-first marketplace mechanics. Hiring velocity is accelerating in marketing and product roles, with heavy focus on scaling paid shopping campaigns and measurement infrastructure, indicating a growth-led phase after the 2025 Zozo partnership.
Lyst is a London-founded fashion shopping platform that aggregates inventory from over 27,000 brands and stores into a single curated destination. The platform serves over 160M shoppers annually with search and discovery tools designed to simplify premium and luxury fashion shopping. In 2025, Lyst became part of Zozo, Japan's leading fashion e-commerce operator, positioning the combined entity to expand globally through technology and AI. The platform addresses fragmentation in fashion retail by centralizing assortment, personalization, and checkout experience across brands.
Backend: Python, Django, Flask; Frontend: React, TypeScript; Infrastructure: AWS, Docker, Kubernetes, EKS, Terraform; Data: PostgreSQL, Tableau, Looker; Marketing: Google Ads, Bing Ads, Meta, Apple Search Ads; Product: Figma, Notion.
City of London, Greater London, United Kingdom. Founded in 2010, the company operates as a privately held entity and is currently hiring only in the UK market.
Lyst's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.