Round 1 Winners!
Proof of Usefulness Report

Fléttan

Analysis completed on 3/20/2026

+38
Proof of Usefulness Score
You're In Business

The project addresses a significant real-world problem (soil erosion) with a viable conceptual solution using Sentinel-2 satellite data and machine learning. However, the submission is severely penalized for highly exaggerated and unsupported claims regarding audience reach ('everyone'), traction ('most people have used my product'), and revenue metrics. Due to the lack of verifiable traction and poor response quality for key business indicators, the project receives a low score, placing it squarely in the minimal traction category.

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Score Breakdown

Real World Utility+17.5
Audience Reach Impact+0.5
Technical Innovation+9
Evidence Of Traction+0
Market Timing Relevance+7
Functional Completeness+0.25
Subtotal+34.25
Usefulness Multiplierx1.12
Final Score+38

Project Details

Project URL
Description
Soil erosion destroys fertile land, increases pollution in streams and rivers, destroys ecosystems, and can lead to catastrophic events such as flooding and mud slides. Soil erosion can be prevented, but once it has started progressing it is extremely difficult to reverse. Fléttan is developing an algorithm that will measure the risk of soil erosion more accurately than any other existing model. We harvest earth observation data from the Sentinel-2 satellite, calibrate our data with localized historical data, and using machine learning and artificial intelligence we measure soil erosion risk. Our risk values are displayed as a map on a user-friendly graphical interface. When our developmental phase has concluded and we have successfully tested our concept within the Icelandic market, we hope to acquire access to more data from satellites and local data vendors throughout the world to create a global product that can be utilized by customers ranging from government institutions, research facilities to insurance companies and environmental NGO’s.

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