WhatA tool that analyzes git commit patterns, code style consistency, and development process signals to generate an authenticity score indicating how much of a project reflects genuine human engineering versus bulk AI generation.
SignalDevelopers and hiring managers are frustrated that GitHub portfolios and Show HN projects no longer serve as reliable signals of skill, since AI can generate entire projects that someone claims as their own work.
Why NowAI coding tools have become capable enough in 2025-2026 to produce complete, working projects, destroying the signaling value of public code portfolios right when remote hiring depends on them most.
MarketHiring platforms, recruiters, open-source maintainers evaluating contributors; ~$2B technical recruiting tools market; competitors like GitHub Copilot focus on generation not verification, leaving a gap.
MoatBehavioral fingerprinting models improve with each analyzed repository, creating a data flywheel that new entrants cannot easily replicate.
Scoring Show HN submissions for AI design patternsView discussion ↗ · Article ↗ · 318 pts · April 22, 2026
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