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Proof of Usefulness Report

Geosetta

Analysis completed on 3/21/2026

-85.25
Proof of Usefulness Score
Lab Mode

The project presents a potentially useful concept for public and private agencies in the geotechnical sector. However, the submission contains severe red flags that undermine its credibility. The claimed audience reach ('everyone') and evidence of traction ('most people have used my product') are verifiably false for a highly specialized niche B2B database. Additionally, listing 'Internet' as the sole technology and citing an irrelevant 'all time marketcap: 500000' as monthly revenue indicates low response quality and suspicious metrics. According to calibration guidelines, projects with no verifiable traction and significant red flags score below 0.

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Score Breakdown

Real World Utility+25
Audience Reach Impact-40
Technical Innovation+7.5
Evidence Of Traction-65
Market Timing Relevance+5
Functional Completeness-10
Subtotal-77.5
Usefulness Multiplierx1.1
Final Score-85

Project Details

Project URL
Description
Geosetta benefits both public agencies and private companies by giving them tools to leverage historic geotechnical test data. The Geosetta application is a geospatial mapping system leveraging machine learning methods, and point cloud visualization tools. Geosetta provides a preliminary understanding of the anticipated subsurface conditions at any project site, thus allowing you to plan an efficient subsurface exploration program.

Algorithm Insights

Market Position
Early stage requiring focused development
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