Proof of Usefulness Report

Parasite ID

Analysis completed on 3/21/2026

+36.45

Proof of Usefulness Score

You're In Business

While the underlying Parasite ID project exhibits strong real-world utility by using machine learning for offline parasitic infection diagnostics, the submission is plagued by extremely poor response quality, fabricated metrics ('all time marketcap: 500000', 'most people have used my product'), and inaccurate technical claims. The severe lack of verifiable traction and low submission credibility result in a heavily penalized score.

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Score Breakdown

Real World Utility+22.5

Audience Reach Impact+1.0

Technical Innovation+6.0

Evidence Of Traction+1.25

Market Timing Relevance+3.0

Functional Completeness+0.0

Subtotal+33.75

Usefulness Multiplierx1.08

Final Score+36

Project Details

Project URL

parasite.id

Description

Parasite ID uses machine learning to identify parasitic infections in microscopy images. The app operates on a cell phone without connection to the network, enabling use in even the most remote areas.

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