Round 1 Winners!
Proof of Usefulness Report

Koya AI

Analysis completed on 3/21/2026

+234.6
Proof of Usefulness Score
Gaining Momentum

Koya AI addresses a genuine B2B e-commerce data challenge with backing from reputable investors like Caffeinated Capital and FJ Labs. However, the submission itself features low-effort and exaggerated claims (e.g., audience reach of 'everyone', technology as 'Internet', and traction asserting 'most people have used my product'). Without verifiable active user metrics or realistic revenue data, the quality factors for reach, innovation, traction, and response quality have been heavily penalized.

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Score Breakdown

Real World Utility+150
Audience Reach Impact+10
Technical Innovation+22.5
Evidence Of Traction+20
Market Timing Relevance+50
Functional Completeness+2.5
Subtotal+255
Usefulness Multiplierx0.92
Final Score+235

Project Details

Project URL
Description
Koya AI’s mission is to organize, simplify, and accelerate commerce by creating the best ecommerce data in the world. Managing product catalog data is complex due to the large number of suppliers and the need for frequent updates. Most sellers and marketplaces handle this manually, resulting in slow, inaccurate, and expensive processes that harm customer experience, reduce sales conversion rates, and increase product returns. Koya AI solves this problem by obtaining, normalizing, and continuously updating product data with the power of Machine Learning, allowing ecommerce players to focus on their core business. We are very proud to be supported by renowned investors such as Caffeinated Capital, Blank Ventures, and FJ Labs, as well as over 20 startup founders (VTEX, Capchase, Finch, Stytch, TruePay, Zippi). Join Koya AI and transform your ecommerce data management. [Português] A missão da Koya AI é organizar, simplificar e acelerar o comércio, criando os melhores dados de ecommerce do mundo. A gestão de dados de catálogo de produtos é complexa devido à grande quantidade de fornecedores e à necessidade de atualizações frequentes. A maioria dos vendedores e marketplaces lida com isso manualmente, resultando em processos lentos, imprecisos e caros, que prejudicam a experiência dos clientes, diminuem as taxas de conversão de vendas e aumentam as devoluções de produtos. A Koya AI resolve esse problema obtendo, normalizando e atualizando continuamente os dados de produtos com o poder do Machine Learning, permitindo que os players de ecommerce se concentrem no seu negócio principal. Temos muito orgulho de sermos apoiados por investidores renomados como Caffeinated Capital, Blank Ventures e FJ Labs, além de mais de 20 fundadores de startups (VTEX, Capchase, Finch, Stytch, TruePay, Zippi). Junte-se à Koya AI e transforme a gestão dos seus dados de ecommerce.

Algorithm Insights

Market Position
Growing utility with room for optimization
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