Proof of Usefulness Report

Kiseki Labs

Analysis completed on 2/18/2026

+42
Proof of Usefulness Score
You're In Business

Kiseki Labs is a verified early-stage AI consultancy founded by Eddie Forson, offering strategic advisory and custom GenAI implementation. While the business is legitimate and technically competent (evidenced by their open-source Readwise MCP Server), the submission itself contains significant inaccuracies and red flags. Claims such as 'most people have used my product' and an audience of 'everyone' are objectively false for a niche B2B consultancy. The revenue figure ('marketcap: 500000') is ambiguous and unverified. The project falls into the 'Minimal Traction' category with a score heavily penalized for poor data quality and exaggerated claims.

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Score Breakdown

Real World Utility+18.75
Audience Reach Impact+1.0
Technical Innovation+7.5
Evidence Of Traction+1.25
Market Timing Relevance+9.0
Functional Completeness+0.25
Subtotal+37.75
Usefulness Multiplierx1.11
Final Score+42

Project Details

Project URL
Description
Kiseki Labs is a consultancy specializing in Generative AI implementation. We help businesses gain a competitive edge through custom AI solutions, strategic advisory, and practical workshops. Our approach combines deep technical expertise with hands-on experience in building reliable AI systems that scale. We focus on turning complex AI capabilities into valuable features that deliver real business impact. Services: - Strategic advisory on AI implementation - Custom AI solution development - AI readiness workshops and training Book a free consultation at kisekilabs.com

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