Proof of Usefulness Report

Doublepoint

Analysis completed on 3/21/2026

+315.7

Proof of Usefulness Score

Certified Problem Solver

Doublepoint presents a technically innovative solution for microgesture detection using smartwatch sensors, indicating strong market timing for AR/VR and wearable interfaces. However, the submission is hindered by vague, unsubstantiated claims regarding audience reach ('everyone') and traction ('most people have used my product'), resulting in significant penalties for evidence of traction and response quality. While the team size of 125 is notable, the lack of verifiable metrics limits the overall score.

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Score Breakdown

Real World Utility+175

Audience Reach Impact+10

Technical Innovation+112.5

Evidence Of Traction+6.25

Market Timing Relevance+80

Functional Completeness+1.25

Subtotal+385

Usefulness Multiplierx0.82

Final Score+316

Project Details

Project URL

doublepoint.com

Description

Doublepoint is a touch interface company. We enable upcoming computing platforms with intuitive, robust, and versatile touch-based interactions. Our first product is a machine learning algorithm that detects microgestures using smartwatch sensors and compute (prev. Port 6).

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