Proof of Usefulness Report

Scan-Optics

Analysis completed on 2/16/2026

+602
Proof of Usefulness Score
Category Standard

Scan-Optics is a verified, established (1968) data management and document processing company with significant revenue (est. $15M-$30M) and government/enterprise clients. While the entity itself has high real-world utility and traction, the submission was of very poor quality, containing hyperbolic claims ('most people have used my product') and vague data. The score reflects the strong underlying business fundamentals and longevity, penalized by the lack of specific evidence and effort 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+85.0
Audience Reach Impact+48.0
Technical Innovation+40.0
Evidence Of Traction+85.0
Market Timing Relevance+50.0
Functional Completeness+5.0
Subtotal+63.35
Usefulness Multiplierx0.95
Final Score+602

Project Details

Project URL
Description
Scan-Optics is a global leader in digital transformation, intelligent data management, document conversion and business process optimization. With over 50 years of experience serving private, government and higher education institutions, Scan-Optics helps customers digitally transform their businesses by leveraging AI technology, machine learning and cloud-based solutions. With a range of solutions, including information management, robotics process automation, enterprise content management and professional services, Scan-Optics helps customers energize data through their easy.forward™ platform. This proprietary platform helps promote speed, efficiency and data transparency within a customer’s work environment.

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