Round 1 Winners!
Proof of Usefulness Report

hesketh.com

Analysis completed on 3/17/2026

+426.8
Proof of Usefulness Score
Certified Problem Solver

hesketh.com's Enemieslist solves a critical real-world problem in network security with a massive claimed indirect reach (protecting 3.6 billion users). As a legacy infrastructure project founded in 1995, it demonstrates strong market timing and foundational utility. However, the submission itself is extremely vague, lacking specific verifiable direct traction metrics ('most people', 'everyone') and providing minimal details. This results in heavy quality factor penalties for Evidence of Traction, Audience Reach, and Response Quality, though the underlying utility and scale still yield a solid overall score.

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Score Breakdown

Real World Utility+200
Audience Reach Impact+85
Technical Innovation+75
Evidence Of Traction+50
Market Timing Relevance+70
Functional Completeness+5
Subtotal+485
Usefulness Multiplierx0.88
Final Score+427

Project Details

Project URL
Description
hesketh.com loves the Internet. That’s why we work to make it better. Since its founding in 1995, hesketh.com has grown with the Internet -- the world's most powerful people connector. Our current contribution to making the Internet better is Enemieslist (EL). Trusted by data scientists, security experts, and anti-spam professionals, Enemieslist protects over 3.6 billion users from online abuse. EL works by classifying hostnames (PTR records) in order to allow policy to be applied in various contexts. Originally intended to aid in the risk evaluation of accepting mail from a given host, EL's unique approach and comprehensive coverage now finds applications beyond anti-spam. Our classifications find use in reputation services, anti-fraud, anti-abuse, anti-spam, threat detection, information security, network security, calibration of data sets, and priming machine learning systems.

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