Proof of Usefulness Report

Joberfer

Analysis completed on 2/4/2026

+18
Proof of Usefulness Score
You're In Business

The project addresses a legitimate market need (HR/Recruitment) but suffers significantly from hyperbolic and unverifiable claims in the submission. The statement that 'most people have used my product' is demonstrably false and serves as a major red flag for credibility. While the specific case study (Riverbend Medical Clinic) provides a singular data point of utility, the lack of verifiable traffic data, the confusion between 'revenue' and 'marketcap', and the generic description of technology ('Internet') result in a low score. The project appears to be in a very early or conceptual stage despite the 2022 launch date.

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Score Breakdown

Real World Utility+10.00
Audience Reach Impact+0.50
Technical Innovation+1.50
Evidence Of Traction+0.63
Market Timing Relevance+3.20
Functional Completeness+0.25
Subtotal+16.08
Usefulness Multiplierx1.12
Final Score+18

Project Details

Project URL
joberfer.com
Description
Joberfer.com is setting out to revolutionize #talent discovery by leveraging #AI + #Human Recommendations. Founded in Calgary, Alberta, Canada, with a bold vision to transform the traditional online job marketplace. We believe in the power of genuine human connections in finding the right people for the right jobs. By harnessing the most under-utilized asset in online job matching – human recommendations – we're creating a vibrant ecosystem where the right talent meets the right opportunity effortlessly. #joberfer #tatech #hrtech #healthtech Case study: ⏱Our early employer partners such as Riverbend Medical Clinic in SE Calgary hired a family physician in under 14 days!

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