Round 1 Winners!
Proof of Usefulness Report

Snapreport

Analysis completed on 3/13/2026

+18.11
Proof of Usefulness Score
You're In Business

While HSE reporting and predictive safety modeling represent a valid market with clear real-world utility, this submission suffers from highly exaggerated and nonsensical claims (e.g., audience reach 'everyone', traction 'most people have used my product'). The lack of verifiable data, empty active user metrics, and poor response quality result in a very low score that aligns with minimal traction.

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+7.5
Audience Reach Impact+1.0
Technical Innovation+1.5
Evidence Of Traction+0.5
Market Timing Relevance+5.0
Functional Completeness+0.25
Subtotal+15.75
Usefulness Multiplierx1.15
Final Score+18

Project Details

Project URL
Description
Snappreport is developed to comply with different workplace data report systems like worker report, inspector audit, sensor data and drones for easy documentation of HSE observations, risk incident reports – anytime and from anywhere. It helps clients capture, detect & locate work site issues & create instant inspection reports using number of HSE pre-defined regulations and conditional logic. all datas for snappreport. It has been well-tuned for industries like Oil & Gas, Manufacturing, Warehousing. We are developing the predictive model step by step which Using AI technology creates awareness about how a hazardous situation develops and how it can be prevented (including by means of behavior). that predictive modeling using AI and ML technology will provide additional op portunities to further enhance safety in the sensitive industries by improving safety by building it in right from the design stage and by preventing incidents by acting upon 'early warnings'. In our view, predictive modeling holds all of the potentials that will enable it to become a game-changer in the field of HSE management.

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