Proof of Usefulness Report

Tensormesh

Analysis completed on 2/4/2026

+315
Proof of Usefulness Score
Certified Problem Solver

The project 'Tensormesh' is a verified, high-potential AI inference optimization startup that recently raised $4.5M in seed funding (Laude Ventures, Oct 2025) and utilizes the open-source LMCache technology. However, the submission itself is of extremely poor quality, containing false claims ('everyone' reach, 'most people' traction) and inaccurate metadata (Team size '1' vs actual academic team, 'StarSpirit' name). The score reflects the strong real-world utility and verified backing of the company, significantly discounted by the low-effort and misleading submission data. The claimed 'marketcap: 4500000' aligns with the verified seed funding amount ($4.5M).

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Score Breakdown

Real World Utility+22.5
Audience Reach Impact+4.0
Technical Innovation+12.75
Evidence Of Traction+10.0
Market Timing Relevance+9.5
Functional Completeness+0.25
Subtotal+59
Usefulness Multiplierx0.89
Final Score+315

Project Details

Project URL

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