Proof of Usefulness Report

Lyst

Analysis completed on 1/25/2026

+461
Proof of Usefulness Score
Industry Mainstay

Lyst is a globally established fashion technology platform with verifiable massive scale (~200M annual users, ~$90M revenue). The project was recently acquired by ZOZO for $154M (April 2025), which matches the user's 'marketcap' figure exactly. While the submission text was minimal ('most people have used my product'), the underlying metrics place it significantly above the HackerNoon benchmark due to sheer volume of utility and reach. The score reflects a 'Much Larger Scale' entity, penalized slightly for the recent valuation drop (down from $700M) and the low-effort submission.

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Score Breakdown

Real World Utility+118.75
Audience Reach Impact+100.00
Technical Innovation+60.00
Evidence Of Traction+118.75
Market Timing Relevance+35.00
Functional Completeness+6.25
Subtotal+438.75
Usefulness Multiplierx1.05
Final Score+461

Project Details

Project URL
Description
Lyst is a leading fashion technology company that operates an online platform for discovering and shopping for fashion products. Based at lyst.com, the company aggregates a wide range of fashion items from various brands and retailers, providing users with a comprehensive and personalized shopping experience. Lyst uses advanced data analytics and machine learning to offer tailored recommendations, helping users find the latest trends and styles that match their preferences. The platform is known for its extensive inventory, user-friendly interface, and innovative approach to online fashion retail.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline