Round 1 Winners!
Proof of Usefulness Report

InNeed Recruit

Analysis completed on 3/10/2026

-16
Proof of Usefulness Score
Lab Mode

The submission raises severe red flags due to its promotion of academic contract cheating ('AI-free assignments' for students) and includes blatantly false claims, such as 'most people have used my product' and an illogical 'marketcap: 500000'. Consequently, the project receives a negative score for lack of verifiable traction, unethical premise, and extremely poor response quality.

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Score Breakdown

Real World Utility-6.25
Audience Reach Impact+0.00
Technical Innovation+0.00
Evidence Of Traction-6.25
Market Timing Relevance+0.00
Functional Completeness-1.25
Subtotal-13.75
Usefulness Multiplierx1.15
Final Score-16

Project Details

Description
We are a team of experienced academic professionals, writers, researchers, and educators passionate about helping students succeed by providing AI-free assignments. With diverse backgrounds in different fields of study, our team brings together a wealth of knowledge and experience to support graduate students at every stage of their academic journey.

Algorithm Insights

Market Position
Early stage requiring focused development
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