Proof of Usefulness Report

Canvassed

Analysis completed on 3/18/2026

+225

Proof of Usefulness Score

Gaining Momentum

Canvassed proposes a practical solution for the commercial real estate sector by aggregating listings using ML. However, the submission is significantly hindered by absurdly exaggerated claims ('everyone' uses it, 'most people have used my product') and mismatched technical descriptors ('Fine Art'). The claimed all-time market cap of 2.5M and team of 6 indicate a small operation, fitting the 100-250 calibration tier, but the low quality of verifiable traction and vague evidence heavily penalize its overall score.

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 Utility0.25) × 1.0

Audience Reach Impact0.20) × 0.5

Technical Innovation0.15) × 0.5

Evidence Of Traction0.25) × 0.5

Market Timing Relevance0.10) × 1.0

Functional Completeness0.05) × 0.5

Subtotal+250

Usefulness Multiplierx0.9

Final Score+225

Project Details

Project URL

canvassed.ai

Description

Canvassed Inc. is a commercial real estate data vendor providing high quality CRE listings data. Our listings dataset is compiled from individual brokerage houses using proprietary models and machine learning algorithms designed to gather all the necessary data points essential for a commercial real estate broker to transact on a listing.

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