Proof of Usefulness Report

LookInside

Analysis completed on 2/8/2026

+195
Proof of Usefulness Score
Gaining Momentum

The project 'LookInside' (AFoot) appears to be a legitimate early-stage medical technology initiative aimed at detecting diabetic foot ulcers using AI, as verified by external mentions (e.g., Oxford, Kaiser Permanente). However, the submission itself is of very low quality, containing demonstrable false claims regarding traction ('most people have used my product') and reach ('everyone'). While the real-world utility of the concept is high, the project is currently in a research/early phase with minimal verifiable market presence compared to the claims.

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Score Breakdown

Real World Utility+10.0
Audience Reach Impact+1.0
Technical Innovation+4.5
Evidence Of Traction+1.25
Market Timing Relevance+3.0
Functional Completeness+0.25
Subtotal+20
Usefulness Multiplierx0.98
Final Score+195

Project Details

Description
Every 45 seconds, a diabetic foot is amputated, generating approximately USD 322 billion in yearly healthcare costs worldwide. Latest data suggest an increase in cases of both diabetes and diabetic foot amputations, projected to 463 million diabetic patients in 2030. We aim to prevent that through deep learning based devices for the detection of diabetic foot complication signs.

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