Proof of Usefulness Report

Overtone

Analysis completed on 1/27/2026

+138
Proof of Usefulness Score
Gaining Momentum

The submission for 'Overtone' is significantly compromised by conflicting data: the URL and Description describe a B2B AI text quality analysis tool (Overtone.ai), while the Business Type, Launch Date, and Traction claims ('Vegan color-depositing haircare', 'most people have used my product') refer to the popular consumer brand Overtone.co. A third entity, a dating app spinoff from Hinge also named Overtone, launched in late 2025, further diluting the brand namespace. Evaluating the project based on its Description (AI Text Quality), the solution addresses a genuine problem (clickbait vs. quality) with high relevance in the generative AI era. However, evidence of traction for the AI tool is minimal to non-existent in the public domain compared to its namesakes. The extreme data inconsistency in the submission results in a severe penalty on Response Quality.

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Score Breakdown

Real World Utility+65
Quality Factor+0.5
Audience Reach Impact+20
Technical Innovation+55
Evidence Of Traction+10
Market Timing Relevance+70
Functional Completeness+10
Subtotal+35
Usefulness Multiplierx0.95
Final Score+138

Project Details

Project URL
Description
Overtone uses machine learning to assess inherent text quality. We train AI to find signals of added human effort in content, correlating with added value for the reader (a person, a publisher, a PR company, a brand, a financial analyst, etc).\n\nWe currently sell this data as a B2B SaaS. Customers pay for direct API access or by feeds, which present results in easy to read format. \n\nWhy?\nBecause the internet still prioritises corporate profit over human benefit.\nBecause AI is at an inflection point.\nBecause most data gathering is optimised for a few centralised players. \nBecause tech is great at parsing derived data, but has mostly ignored primary metrics.\nBecause humankind deserves an internet organised and optimised for quality, not quantity.\n\nWe are building now, for the decentralised, prosumer, human future.

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