Proof of Usefulness Report

Tocaro Blue

Analysis completed on 3/24/2026

+192

Proof of Usefulness Score

Gaining Momentum

Tocaro Blue presents a strong foundational concept using ML for marine radar processing, addressing a genuine need in maritime navigation. However, the submission contains highly exaggerated and unrealistic claims ('most people have used my product', audience reach of 'everyone') which severely undermines its credibility. While the stated team size of 30 and technical description show promise, the lack of realistic data results in significant penalties for traction, audience reach, and response quality.

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+125

Audience Reach Impact+5

Technical Innovation+60

Evidence Of Traction+0

Market Timing Relevance+50

Functional Completeness+0

Subtotal+240

Usefulness Multiplierx0.8

Final Score+192

Project Details

Project URL

tocaroblue.com

Description

Tocaro Blue transforms traditional off the shelf marine Radar into a machine learning-powered vessel control and navigation system. Our Radar Processing Software, ProteusCore™, applies advanced machine learning to automatically interpret, classify, and track Radar data. Advanced automatic range and gain tuning, detection, and classification capabilities allow ProteusCore to bring Radar perception to your navigation products. This informed data more accurately replicates the real-world, allowing you to stream intelligently classified and tracked detections to your display or fuse the data with other sensors.

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