Proof of Usefulness Report
Debate TelloDB
Analysis completed on 7/1/2026
+36
Proof of Usefulness Score
You're In Business
The project tackles a genuine and timely problem (LLM hallucinations) with an innovative multi-agent debate architecture. However, as an early-stage project with minimal traffic (~1,000 monthly visits), no established traction, and missing key submission metrics, it falls into the minimal traction category.
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Score Breakdown
Real World Utility+15.0
Audience Reach Impact+2.0
Technical Innovation+10.5
Evidence Of Traction+1.25
Market Timing Relevance+8.0
Functional Completeness+0.75
Subtotal+37.5
Usefulness Multiplierx0.95
Final Score+36
Project Details
Project URL
Description
A panel of frontier models reads, critiques, and converges. An independent judge scores agreement. The chairman writes the verdict, dissent preserved.
Audience Reach
We just started and we are getting around 1000 visits a month
Target Users
For people who want to use LLM for real work and are tired of LLM telling one thing and after few seconds apologizing that it was wrong.
Technologies
Other, Qwik, Bun, Vercel, Azure
Traction Evidence
We don't have any TBH
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