Proof of Usefulness Report

Hynnova

Analysis completed on 2/10/2026

+37
Proof of Usefulness Score
You're In Business

Hynnova appears to be a legitimate early-stage project born from the EIT Digital 'Data Against COVID-19' initiative (associated with Hypermynds), focused on healthcare data analytics. However, the evaluation is severely impacted by the submission's inaccurate and hyperbolic claims. Specifically, the claim that 'most people have used my product' and the target audience is 'everyone' contradicts the specialized B2B nature of the solution. While the project has a valid origin story and verifiable backing from EIT Digital (2020), the submission fails to provide credible current traction metrics. The 'marketcap' figure is ambiguous and likely refers to valuation rather than revenue. The project receives credit for its underlying utility in healthcare but is heavily penalized for lack of verifiable growth signals and poor data quality.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+20.00
Audience Reach Impact+1.00
Technical Innovation+7.20
Evidence Of Traction+2.50
Market Timing Relevance+5.00
Functional Completeness+0.50
Subtotal+36.2
Usefulness Multiplierx1.03
Final Score+37

Project Details

Project URL
Description
Hynnova is an innovative start-up with a social vocation and the mission of innovating the Healthcare sector applying the best techniques of Data Science to enable the industry's transition to more modern and efficient models. Hynnova was born from the 'Arianna Safe Care' project of Hypermynds, one of the winners of EIT Digital's Data Against COVID-19 call, which supports the project and is one of the partners of Hynnova. Hynnova's technological trajectory develops in Digital Health. It focuses on extracting value from data to improve the efficiency and quality of assistance and care services to intelligently use physiological data.

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