Proof of Usefulness Report

minware

Analysis completed on 1/25/2026

+45
Proof of Usefulness Score
You're In Business

The project 'minware' is a functioning B2B SaaS platform for engineering analytics, founded by an experienced team (ex-Collage.com). However, the submission contains blatantly false claims regarding traction ('most people have used my product') and audience reach ('everyone'). External verification reveals the company is bootstrapped with estimated annual revenue under $1M, but suffers from a significantly negative online reputation due to allegations of using fake job postings for lead generation. While the underlying technology (minQL, time-native analysis) shows promise and utility for engineering leaders, the dishonesty of the submission and the 'black hat' growth tactics severely depress the score.

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Score Breakdown

Real World Utility+70
Real World Utility Quality Factor+1
Audience Reach Impact+20
Audience Reach Impact Quality Factor+0.5
Technical Innovation+60
Technical Innovation Quality Factor+1
Evidence Of Traction+30
Evidence Of Traction Quality Factor+0.5
Market Timing Relevance+50
Market Timing Relevance Quality Factor+1
Functional Completeness+10
Response Quality Quality Factor+0.5
Subtotal+37.5
Usefulness Multiplierx1.18
Final Score+44

Project Details

Project URL
Description
As an engineering leader, it is very difficult to see how engineers are working and what issues are affecting their productivity. Output metrics like lines of code, commits, and pull requests don't show whether code is adding value.\n\nminware is a B2B SaaS analytics platform that looks at what happens to code after it is written to identify waste caused by issues with code quality, processes, and management to help engineering teams more efficiently write better software.\n\nWe believe that by looking at what happens to code in the future as ground truth (deleted, refactored, enhanced, fixed bugs, abandoned, etc.), we can reliably identify waste and learn what factors truly determine code quality to help engineers more efficiently write better software.

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