Proof of Usefulness Report

Q-Sensei

Analysis completed on 2/16/2026

+382
Proof of Usefulness Score
Certified Problem Solver

Q-Sensei is a legitimate, established enterprise search company (founded 2007) with verifiable history (approx. $5M funding, ~30 employees). However, the project submission is of extremely low quality, containing false claims about audience reach ('most people have used my product') and inaccurate financial terminology. While the technology (Q-Sensei Fuse/Logs) has real-world B2B utility, the company appears to be in a late/stagnant stage compared to modern AI search competitors. The score reflects the company's verified existence and past traction, heavily penalized for the deceptive and lazy submission data.

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Score Breakdown

Real World Utility+18.75
Audience Reach Impact+3.00
Technical Innovation+9.00
Evidence Of Traction+5.00
Market Timing Relevance+4.00
Functional Completeness+0.50
Subtotal+40.25
Usefulness Multiplierx0.95
Final Score+382

Project Details

Project URL
Description
Q-Sensei was founded by a group of international data enthusiasts, scientists, and software engineers on a mission to leverage the information inside documents. We’re building a talented, diverse team of people to help us offer the best, most affordable Search Apps possible so everyone can find and use the information they need to work a little wiser. To check out our Search Apps and learn more about our work, visit our website.

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