Proof of Usefulness Report

FINESSE

Analysis completed on 1/21/2026

+677
Proof of Usefulness Score
Category Standard

FINESSE is a legitimate, high-traction Series A startup (approx. $56M funding, ~$21M+ estimated revenue) utilizing AI and community voting to optimize fashion production. While the project itself has exceptional real-world utility and verified market success ('Zara meets Netflix'), the submission data was of extremely poor quality (e.g., claiming 'most people have used my product'). The score reflects the high value and verified status of the business entity, adjusted downward for the lack of specific evidence provided in the application.

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Score Breakdown

Real World Utility+225.0
Audience Reach Impact+112.0
Technical Innovation+120.0
Evidence Of Traction+190.0
Market Timing Relevance+95.0
Functional Completeness+2.5
Subtotal+744.5
Usefulness Multiplierx0.91
Final Score+677

Project Details

Project URL
finesse.us
Description
FINESSE is the new age of fashion, Zara meets Netflix - a vertically integrated fashion house leveraging AI on big data \u0026 community feedback to predict trends, forecast demand, and optimize distribution, producing hit sell-outs every time in record time \u0026 eliminating the guesswork and overproduction inherent to fashion today. Founded out of Stanford by computational artist Ramin Ahmari and backed by top investors across deep tech \u0026 consumer, FINESSE is creating the new age of fashion.\n\nWith a largely female \u0026 POC team comprised of ex-execs \u0026 talent from leading fashion houses, published AI researchers and scientists who’ve worked under Nobel Prize winners, FINESSE strives to create an entirely new, tech-led paradigm of sustainable \u0026 ethical fast fashion.\n\nBeyond being the first, truly AI-led fashion house, FINESSE caters to an unapologetic new generation - one that refuses labels and stereotypes, denounces the lack of sustainability in fashion and lives for true self-expression.

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