Round 1 Winners!
Proof of Usefulness Report

Llense

Analysis completed on 3/10/2026

-2.75
Proof of Usefulness Score
Lab Mode

The project submission presents severe red flags and minimal verifiable traction. Claims such as 'most people have used my product' and targeting 'everyone' are highly exaggerated and lack supporting evidence. Additionally, citing an 'all time marketcap: 500000' for monthly revenue indicates confusion or misleading metrics. Applying a heavy penalty for unverifiable claims results in a sub-zero score.

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Score Breakdown

Real World Utility+5.0
Audience Reach Impact+1.0
Technical Innovation+1.5
Evidence Of Traction-10.0
Market Timing Relevance+1.0
Functional Completeness-1.0
Subtotal-2.5
Usefulness Multiplierx1.1
Final Score-3

Project Details

Project URL
Description
Llense is an AI technology designed for media professionals, created to analyze any type of content — whether it’s images, videos, scripts, or transcripts — and generate a high-value structured data model. This model enables the precise identification of key elements within the content, pinpointing their exact location and contextual relevance.

Algorithm Insights

Market Position
Early stage requiring focused development
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