Proof of Usefulness Report

Fairsight

Analysis completed on 2/3/2026

+275
Proof of Usefulness Score
Gaining Momentum

Fairsight is a legitimate Norwegian HR technology startup founded in 2022, specializing in psychometric assessments to reduce hiring bias. External verification confirms the company has raised approximately $1.86M in Seed funding (Pitchbook) and has active B2B clients in the Nordic region, evidenced by candidates discussing their assessments on public forums. However, the submission itself contained significant falsehoods (claiming 'everyone' as the audience and 'most people' as users), which severely impacted the quality factors. While the project demonstrates real-world utility and verified early-stage traction (Seed round, active hiring cycles), the score is constrained by its regional focus and the poor quality of the provided data.

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Score Breakdown

Real World Utility+13.0
Audience Reach Impact+2.0
Technical Innovation+3.0
Evidence Of Traction+6.25
Market Timing Relevance+6.0
Functional Completeness+0.25
Subtotal+30.5
Usefulness Multiplierx0.90
Final Score+275

Project Details

Project URL
https://www.fairsight.com
Description
Unlock the potential of every candidate with Fairsight. Our assessments and platform are uniquely designed to uncover hidden talent and top performers. At Fairsight, we believe that every candidate has worth - and we're committed to uncovering that worth through our advanced behavioral insights and data visualization. This means identifying the best of the best, no matter where they come from or what their background is. By treating everyone fairly and with respect, we're able to create a more diverse and talented pool of candidates for your organization. And when you choose Fairsight, you're not just getting better candidates - you're creating positive impact for society too. Join us in unlocking the potential of every candidate - choose Fairsight for truly unbiased, data-driven hiring and development. Let's work together to create a more just and equitable world.

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