Proof of Usefulness Report

Operant AI

Analysis completed on 1/27/2026

+292
Proof of Usefulness Score
Gaining Momentum

Operant AI is a legitimate Series A cybersecurity company (founded 2020) offering high-utility runtime protection (CNAPP/RASP) using eBPF technology. However, the project submission itself is of extremely low quality, containing verifiable falsehoods (claiming 'most people have used my product' and audience is 'everyone') and lacking specific evidence of traction. While the technical innovation and market timing are strong, the score is heavily penalized by the lack of credible 'Proof' in the submission and the discrepancy between the claimed and actual reach.

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Score Breakdown

Real World Utility+175.0
Audience Reach Impact+5.0
Technical Innovation+105.0
Evidence Of Traction+0.0
Market Timing Relevance+80.0
Functional Completeness+0.0
Subtotal+365
Usefulness Multiplierx0.80
Final Score+292

Project Details

Project URL
Description
Operant's identity-first application security platform provides runtime enforcement of security policies across *every* layer of the application. Zero instrumentation, zero drift, zero conflict between Dev, Sec, and Ops. Instantly secure any cloud-native application across any cloud at any scale.

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