Ebenbuild is a verifiable, high-potential deep-tech startup emerging from TU Munich, specializing in 'digital twin' lung simulations for ARDS treatment and drug development. The project demonstrates exceptional Real-World Utility and Technical Innovation, backed by significant external validation (EIC Accelerator grant, seed funding). However, the submission itself is of extremely poor quality, containing demonstrable falsehoods (claiming 'most people' have used the product and 'everyone' is the audience) and inaccurate data (team size exaggerated, revenue field confused with market cap). Consequently, the score is heavily penalized for lack of credible provided evidence and poor response quality, despite the underlying technology's legitimacy.
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
Score Breakdown
Project Details
Algorithm Insights
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