Proof of Usefulness Report

Gather AI

Analysis completed on 1/22/2026

+416
Proof of Usefulness Score
Certified Problem Solver

Gather AI is a verifiable, high-traction Series B robotics company ($34M funding) solving critical supply chain inventory problems. However, the submission itself contained extremely poor quality data (e.g., claiming 'most people have used my product' and audience is 'everyone'), which contradicts the B2B industrial nature of the product. The score reflects the high real-world value and verified external traction (Series B, major clients like GEODIS), significantly penalized by the low response quality. The final score is scaled to align with the calibration reference.

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+28.5
Audience Reach Impact+12.0
Technical Innovation+17.1
Evidence Of Traction+18.0
Market Timing Relevance+9.0
Functional Completeness+0.25
Subtotal+84.85
Usefulness Multiplierx0.98 (includes 5x calibration scale)
Final Score+416

Project Details

Project URL
Description
Gather AI, a company co-founded by an award-winning team of three robotics engineers from Carnegie Mellon University with a combined experience of 25 years in developing autonomous flying vehicles is disrupting the supply chain industry. We believe in the mission of gathering and indexing physical data to bring the power of analytics to the physical world. We are developing a next-generation large scale data gathering fleet of autonomous drones with asset tracking and inventory monitoring as the beachhead.

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