Proof of Usefulness Report

Dystech

Analysis completed on 1/20/2026

+45
Proof of Usefulness Score
You're In Business

The submission critically conflates two distinct entities: 'Dystech' (the Australian AI dyslexia startup described in the text) and 'DysTech' (a US-based IT government contractor founded in 1999 with 200+ employees, matching the metadata fields). While the described project (dyslexia screening) has high real-world utility and valid AI technology (verified via search as an AWS EdStart member), the submission's data integrity is severely compromised. Claims such as 'most people have used my product' are factually incorrect, and tags like 'blockchain' appear irrelevant to the core educational product. The score reflects the potential of the Australian solution heavily penalized for the inaccurate and confusing submission data.

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Score Breakdown

Real World Utility+21
Audience Reach Impact+3
Technical Innovation+8
Evidence Of Traction+1
Market Timing Relevance+8
Functional Completeness+0
Subtotal+42
Usefulness Multiplierx1.05
Final Score+45

Project Details

Project URL
dystech.com.au
Description
Dystech is an Edtech startup that helps schools \u0026 allied health professionals identify dyslexia and assess reading performance. We are combining 2-hours of paper-based traditional reading tests into a 5-minute online assessment.\n\nWe are a deep tech AI startup and we use machine learning to create amazing technology to facilitate early identification and support for struggling students.\n\nDystech is headquartered in Melbourne, Australia, with a distributed team of 5 people in France, Spain and Australia.
Audience Reach
everyone
Target Users
everyone
Technologies
Machine Learning, Blockchain, Decentralization
Traction Evidence
most people have used my product

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