Round 1 Winners!
Proof of Usefulness Report

Data Hurdles

Analysis completed on 3/19/2026

+14.99
Proof of Usefulness Score
You're In Business

Data Hurdles is a data-centric podcast exploring topics like AI, machine learning, and big data. While the market timing and subject matter are highly relevant, the submission suffers from exceptionally poor response quality. It relies on hyperbolic and completely unsupported claims regarding audience reach ('everyone') and traction ('most people have used my product'). As an informational medium lacking verifiable metrics for active users, combined with nonsensical revenue claims, it receives a very low score consistent with unverified, minimal traction.

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+6.25
Audience Reach Impact+1.50
Technical Innovation+0.38
Evidence Of Traction+1.25
Market Timing Relevance+8.00
Functional Completeness+0.25
Subtotal+17.63
Usefulness Multiplierx0.85
Final Score+15

Project Details

Project URL
Description
Data Hurdles is a podcast that brings listeners on a captivating journey into the world of data, where technology and data intertwine in fascinating and unexpected ways. Hosts Michael Burke and Chris Detzel delve deep into topics such as AI, machine learning, big data, and social justice, and share their experiences and insights on how these complex issues impact our lives. With a range of expert guests from various industries, each episode offers thought-provoking discussions and engaging storytelling that will leave listeners informed, inspired, and excited about the future of data

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