Proof of Usefulness Report

Merico

Analysis completed on 1/6/2026

+549
Proof of Usefulness Score
Industry Mainstay

Merico is a verified, venture-backed Series A company with significant real-world utility and technical depth (Apache DevLake, FSE paper). However, the submission quality is exceptionally poor, containing hyperbolic and inaccurate claims (e.g., 'most people have used my product', 'audience: everyone') which severely impacted the Quality Factors (Qi). While the underlying technology and market position are strong (comparable or superior to the calibration benchmark), the score is penalized due to the lack of serious data entry in the application.

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Score Breakdown

Real World Utility+212
Audience Reach Impact+40
Technical Innovation+162
Evidence Of Traction+106
Market Timing Relevance+85
Functional Completeness+5
Subtotal+610
Usefulness Multiplierx0.90
Final Score+549

Project Details

Project URL
Description
Merico is developing the code analytics platform to quantitatively measure software development processes, using advanced program analysis and machine learning. We published our initial paper in FSE, a premier software engineering conference.\n\nMerico empowers not only enterprise managers by promoting objective developer performance management, streamlining the review process and offering timely feedback to every team member, but also developers themselves, whose contributions can be highlighted without obfuscation by politics or personal bias.\n\nFor open source projects, currently, donations or sponsorships go to specific core maintainers who find no good way to feedback the whole community. Our platform will enable such fundings to be distributed to all contributors proportional to their contributions. That is a better way to help developers financially support themselves, thereby making the community thrive. See our talk at MIT/Harvard: Software Development in the Next Decade (https://ls.meri.co/3fbjnC5).
Audience Reach
everyone
Target Users
everyone
Technologies
Software Development, Machine Learning, Analytics
Traction Evidence
most people have used my product

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