Proof of Usefulness Report

Graas

Analysis completed on 1/22/2026

+638
Proof of Usefulness Score
Category Standard

Graas (shoptimize.in) is a verifiable, high-growth B2B SaaS entity that has raised over $49M (Series A) and employs ~350 people, validating significant real-world utility and market traction. However, the submission itself is of extremely poor quality, containing hyperbolic claims ('most people have used my product') and missing data. While the project fundamentals (AI-driven e-commerce growth agents) are strong enough to warrant a high score compared to the calibration baseline, the score is heavily penalized by the lack of direct evidence provided in the submission text.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+22.5
Audience Reach Impact+8.0
Technical Innovation+10.2
Evidence Of Traction+11.9
Market Timing Relevance+9.5
Functional Completeness+0.5
Subtotal+626
Usefulness Multiplierx1.02
Final Score+638

Project Details

Project URL
Description
Graas is a company that specializes in providing AI-driven solutions for e-commerce businesses. Operating under the domain shoptimize.in, Graas offers a platform that integrates various tools and technologies to help online retailers optimize their operations, enhance customer experiences, and drive sales growth. The company focuses on leveraging data analytics, machine learning, and automation to streamline processes such as inventory management, marketing, and customer engagement, enabling businesses to make informed decisions and improve their overall performance in the competitive e-commerce landscape.

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