6 million fake stars plague GitHub, per a Carnegie Mellon University study analyzing 20 terabytes of platform data. Researchers identified 301,000 accounts manipulating repositories, with AI/LLM projects topping the list at 177,000 artificial stars. This shadow economy thrives on marketplaces like GitHub24 (charging €0.85/star) and Fiverr gigs offering star packages, enabling projects to game discovery algorithms.

Venture capitalists explicitly leverage these metrics: Redpoint reports a median seed-stage star count of 2,850, while StarScout tools reveal manipulated repos often have 36-76% stargazers with zero followers. Our API analysis of 20 projects confirmed 47.4% of stars in high-profile cases like Union Labs (74K stars, 32.7% fake) show clear signs of fabrication, including fork-to-star ratios 10x below organic baselines.

The $53,088 FTC penalty per violation hasn't deterred activity. Tsinghua University estimates Chinese promotion groups generate $3.4M annually from fake stars, while tools like fake-git-history help fabricate contribution graphs. Open-source profiles with decades of commit history sell for $5,000 on Telegram, creating a full-service ecosystem for inflated traction metrics.

This isn't just about vanity metrics - manipulated star counts directly impact funding decisions. A seed round unlocking $1M-$10M creates perverse incentives, with Union Labs appearing on Runa Capital's ROSS Index despite 52% of its stars being suspect. The practice corrodes trust in open-source communities while exposing VCs to regulatory risks.