Round 1 Winners!
Proof of Usefulness Report

Project Heat

Analysis completed on 3/22/2026

+40
Proof of Usefulness Score
You're In Business

The submission features severe contradictions, copying verbatim an academic research grant description (Project HEATS) while presenting nonsensical and conflicting data in other fields, such as 'Apparel & Fashion' for technologies used, an 'all time marketcap' of 500,000 for revenue, and claiming 'everyone' uses the product. The lack of verifiable traction and highly suspicious response quality result in a very low score.

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Score Breakdown

Real World Utility+20
Audience Reach Impact+5
Technical Innovation+7.5
Evidence Of Traction+2.5
Market Timing Relevance+10
Functional Completeness+0.5
Subtotal+45.5
Usefulness Multiplierx0.88
Final Score+40

Project Details

Description
HEATS (Heat Exposure, AcTivity, and Sleep) is a three-year, multi-institutional project focused on improving sleep outcomes for people exposed to heat. Funded by the Singapore National Research Foundation, the project will develop technological and behavioral solutions to minimize heat exposure for improved sleep. The project is structured as three distinct and complementary components: 1) continuous monitoring of more than 100 working-age persons over several months to study the effect of heat exposure on sleep, 2) develop and evaluate a novel bedroom and worker dormitories cooling solution, and 3) deploy and test personalized smartphone nudging strategies to improve sleep environments. The project team is comprised of researchers from University of California, Berkeley, the National University of Singapore, and The University of Sydney. The expertise of the 6-member team includes thermal physiology, sleep quality, indoor environmental quality, thermal comfort, and machine learning. The Principal Investigators are Stefano Schiavon (UC Berkeley) and Jason Kai Wei Lee (NUS). Co-Investigators include June Chi Yan Lo (NUS), Clayton Miller (NUS), Thomas Parkinson (The University of Sydney), and Hui Zhang (UC Berkeley).

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