Proof of Usefulness Report

D.notitia

Analysis completed on 2/2/2026

+673
Proof of Usefulness Score
Category Standard

D.notitia is a verifiable, high-potential deep tech startup based in South Korea (Dnotitia), specializing in AI semiconductor IP (VDPU) and high-performance vector databases. External search confirms significant traction, including ~$15M in funding and recognition on the 2025 CB Insights AI 100 list. However, the project submission itself was of extremely low quality, containing false claims ('everyone' as audience, 'most people' as traction) and lacking detail. The score reflects the high intrinsic value and innovation of the verified company, heavily adjusted for the poor quality of the submission data.

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+225.0
Audience Reach Impact+40.0
Technical Innovation+202.5
Evidence Of Traction+200.0
Market Timing Relevance+95.0
Functional Completeness+2.5
Subtotal+765
Usefulness Multiplierx0.88
Final Score+673

Project Details

Description
Welcome to D.notitia, where cutting-edge technology intersects with seamless performance. We're committed to revolutionizing the landscape of Large Language Models, poised to deliver high-performance LLM Inference services at unmatched speeds and exceptionally competitive rates.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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