Proof of Usefulness Report

Hank

Analysis completed on 3/18/2026

+346.5

Proof of Usefulness Score

Certified Problem Solver

Hank addresses a highly valuable problem in commercial real estate by using AI for HVAC and energy optimization, indicating strong real-world utility and market timing. However, the project submission itself is poorly executed, featuring vague technical details and highly exaggerated, unsubstantiated traction claims ('everyone', 'most people have used my product'). While the 125-person team size suggests established operational scale, the lack of concrete evidence and low-effort responses result in severe quality factor penalties.

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+200

Audience Reach Impact+30

Technical Innovation+45

Evidence Of Traction+25

Market Timing Relevance+80

Functional Completeness+5

Subtotal+385

Usefulness Multiplierx0.9

Final Score+347

Project Details

Project URL

hank.re

Description

Hank is a virtual, autonomous engineering platform powered by artificial intelligence (AI) that optimizes the management systems of commercial buildings. Hank’s system applies machine learning and AI to deliver increased comfort, air quality and energy savings. Co-founded in 2016 by Zachary Denning and Jerremy Spillman, Hank was designed to solve many of the commercial real estate (CRE) industry’s largest operational challenges, including HVAC programming inconsistencies and energy and equipment performance inefficiencies. Its cloud-based platform can be deployed in a matter of weeks and drives immediate value—ultimately delivering increased net operating income (NOI) to real estate investors.

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