Round 1 Winners!
Proof of Usefulness Report

Intodat

Analysis completed on 3/10/2026

+206
Proof of Usefulness Score
Gaining Momentum

Intodat targets a genuine B2B e-commerce need (digital shelf analytics) and has a clear technical premise involving daily scraping and AI algorithms. However, the submission is severely hindered by exaggerated and unsupported claims, such as targeting 'everyone' and claiming 'most people have used my product'. With a small team of 6 and vague revenue metrics, it falls into the calibration range of a small project with minimal verifiable traction.

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Score Breakdown

Real World Utility+125
Audience Reach Impact+10
Technical Innovation+45
Evidence Of Traction+6.25
Market Timing Relevance+40
Functional Completeness+2.5
Subtotal+228.75
Usefulness Multiplierx0.9
Final Score+206

Project Details

Project URL
Description
Digital Shelf Analytics for Brands. ❓Why? The e-commerce landscape is changing rapidly. Every day, over 95% of active e-commerce shops make minor changes, and 3% undergo significant transformations. Monitoring both your product performance and competitor actions is crucial. This includes tracking new reviews, shifts in product positions within catalogs and search results, price changes, out-of-stock alerts, and other key metrics. Without timely insights, you risk falling behind—often realizing changes only when it’s too late to respond. 💡 To help your Brand stay ahead of competitors, we: 01. Scrape entire e-commerce sites or specific categories daily. 02. Collect over 100 different types of data , including product information, category positioning, and more. 03. Analyze dynamic changes and assess catalog quality using best-practice methods and 🪄AI algorithms, while comparing your performance against other brands on the site. 04. Generate thousands of insightful analyses across 5 categories and numerous types , providing comprehensive data about your competitors and market position. 👥 Who? Our team brings: 21 Years of E-commerce Expertise Since launching our first e-commerce shop in 2003, we've walked in your shoes and understand the challenges and opportunities you face. 8 Years of Data Scraping and Parsing Every day, our sophisticated bots collect data from over 40,000 websites. We excel in extracting information, even from sites with bot protection measures in place. 💬 Dmitriy Graevskiy, Founder, CEO "As the Co-Founder and CTO of a Price Monitoring Service established in 2016, serving more than 150 brands, I am driven to bring order to the chaos of e-commerce data and unlock its value for our clients. With extensive experience and knowledge, I’m confident in making this vision a reality. If you’d like to learn more about Intodat, I’d be happy to help—feel free to connect with me on https://www.linkedin.com/in/graevskiy/ "

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