Round 1 Winners!
Proof of Usefulness Report

Goliath Data

Analysis completed on 3/24/2026

+330
Proof of Usefulness Score
Certified Problem Solver

Goliath Data targets a validated B2B real estate market with an applied machine learning solution, backed by credible investors (Better Tomorrow Ventures, Brickyard). However, the submission itself features highly hyperbolic and vague responses (e.g., audience is 'everyone', 'most people have used my product') that contradict the specialized nature of the tool. While the claimed team size of 125 and presence in 150+ markets indicate potential scale, the lack of verifiable metrics and extremely poor response quality significantly reduce the traction and evidence scores.

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Score Breakdown

Real World Utility+175
Audience Reach Impact+40
Technical Innovation+45
Evidence Of Traction+25
Market Timing Relevance+60
Functional Completeness+2.5
Subtotal+347.5
Usefulness Multiplierx0.95
Final Score+330

Project Details

Project URL
Description
We're an applied machine learning company that manufactures the perfect “chance encounter” with homeowners who are looking to sell, giving our agents a 28-day advantage over their competitors. We're backed by Better Tomorrow Ventures and Brickyard, we’re live in 150+ markets across the US.

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