Proof of Usefulness Report

BABL AI

Analysis completed on 2/3/2026

+404
Proof of Usefulness Score
Certified Problem Solver

BABL AI is a legitimate, established consultancy specializing in AI auditing and algorithm bias certification (e.g., NYC Local Law 144, EU AI Act). While the project has high real-world utility and perfect market timing given the surge in AI regulation, the submission itself contained significant inaccuracies (claiming 'everyone' as the audience and 'most people' as users). External verification confirms the team's expertise, paying enterprise clients (e.g., BrightHire), and revenue generation sufficient to support a team of 11-50 without external funding. The score reflects the high value of the service and market relevance, penalized significantly for the poor quality of the submission data.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+212.5
Audience Reach Impact+20.0
Technical Innovation+75.0
Evidence Of Traction+75.0
Market Timing Relevance+90.0
Functional Completeness+2.5
Subtotal+475
Usefulness Multiplierx0.85
Final Score+404

Project Details

Project URL
Description
BABL AI Audits and Certifies AI Systems. We offer our clients a streamlined and flexible audit process that provides trust and assurance at a fraction of the time and cost. We also offer Responsible AI Consulting Services to help organizations get compliant with the wide range of emerging global regulations related to AI systems and implement industry best practices.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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