Round 1 Winners!
Proof of Usefulness Report

Hireko.ai

Analysis completed on 3/19/2026

-48.88
Proof of Usefulness Score
Lab Mode

The submission exhibits multiple severe red flags. The claimed reach ('everyone') and traction ('most people have used my product') are completely unverifiable and statistically impossible for a 2025 launch. The mention of an 'all-time marketcap' of 2.5M for an unproven AI hiring tool suggests fabricated metrics. The description is a generic AI wrapper pitch with no specific technology stack provided. Due to these highly suspicious, unsupported claims, the project is evaluated as a low-effort or potentially fraudulent submission, resulting in a score below zero.

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Score Breakdown

Real World Utility+25.0
Audience Reach Impact-20.0
Technical Innovation+7.5
Evidence Of Traction-50.0
Market Timing Relevance+10.0
Functional Completeness-15.0
Subtotal-42.5
Usefulness Multiplierx1.15
Final Score-49

Project Details

Project URL
Description
At Hireko.ai, we believe that recruiting should be faster, smarter, and more human. That’s why we’ve built an AI-powered hiring assistant designed specifically for startups and scaling teams — automating the repetitive, time-consuming tasks that slow down great hiring. Our intelligent copilot handles everything from resume screening and candidate engagement to interview scheduling and ATS updates, so your team can focus on what matters most: building real connections with top talent. Powered by cutting-edge AI, NLP, and machine learning, Hireko.ai understands candidate fit beyond just keywords — helping you match people to roles where they can truly grow. Whether you’re hiring your first employee or scaling fast, Hireko enables you to run a structured, high-velocity recruitment process without the overhead. Join the next wave of high-growth teams reimagining hiring. Fast setup. Smart decisions. Real results.

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