Proof of Usefulness Report

Tensor Embedded

Analysis completed on 2/28/2026

+189
Proof of Usefulness Score
Gaining Momentum

Tensor Embedded GmbH is a verified German entity (est. 2021) specializing in high-utility safety-critical embedded optimization for the automotive sector. While the company and its core technology (e.g., Timealyzer) are legitimate and technically sophisticated, the project submission 'StarGale' lacks external verification and appears to be an internal or unreleased initiative. The submission suffers from significant quality issues, including hyperbolic claims of 'everyone' as the audience and 'most people' for traction, which contradict the specialized B2B nature of the business. The revenue/valuation figure ($2.5M) is plausible for a boutique consultancy but unsupported. The score reflects strong technical foundations and market relevance, heavily penalized for vague claims, lack of verifiable project-specific traction, and poor submission 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+85.0
Audience Reach Impact+16.0
Technical Innovation+48.0
Evidence Of Traction+25.0
Market Timing Relevance+32.0
Functional Completeness+2.0
Subtotal+208
Usefulness Multiplierx0.91
Final Score+189

Project Details

Project URL
Description
At tensor embedded, we specialize in optimizing embedded systems and computing devices for safety-critical applications. Our expertise lies in not only following established processes, but also in understanding the underlying principles that contribute to a safe system. By asking the right questions and refining the software development process, we achieve maximum resource efficiency without compromising safety. We reduce hardware needs and complexity, empowering clients to harness the full potential of their software-defined products. Experience the future of embedded systems through our unique approach, combining in-depth safety comprehension with continuous optimization and innovation.

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