Proof of Usefulness Report

MixMode

Analysis completed on 2/4/2026

+607
Proof of Usefulness Score
Category Standard

MixMode is a verifiable Series B cybersecurity company (raised ~$45M in 2022) offering high-utility 'Third-Wave AI' for threat detection. While the project's real-world scale and innovation are significant, the submission itself is of extremely low quality, containing factually incorrect claims (e.g., 'most people have used my product', 'team size 10-20'). The evaluation credits the verifiable external traction and technology but applies strict Quality Factor penalties for the inaccurate and unprofessional 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 Utility2.5)
Audience Reach Impact2.0)
Technical Innovation1.5)
Evidence Of Traction2.5)
Market Timing Relevance1.0)
Functional Completeness0.5)
Subtotal+639
Usefulness Multiplierx0.95
Final Score+607

Project Details

Project URL
Description
Predict, Detect and Protect with MixMode. We Detect What Others Miss. \n Long Description: MixMode is the leader in delivering advanced AI cybersecurity solutions for real-time threat detection and response at scale.  MixMode offers a patented, self- supervised learning Platform designed to detect known and unknown threats in real-time across cloud, hybrid, or on-prem environments. MixMode's patented Third-wave AI is uniquely born out of dynamical systems to self-learn an environment without rules or training data. Unlike legacy AI, MixMode analyzes vast data for deviating behavior and predicts future threats, delivering real-time threat detection of Zero-Days, Insider Threats, & more.

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