Spending $200 on GitHub stars to manipulate $1000 tens of thousands of VC funding.

ROI starts at 3,500 times, with a maximum of 117k times.
Recent ICSE 2026 paper from CMU shows that there are 6 million suspicious fake stars on GitHub, involving 18.6k repositories, with AI/LLM projects being the largest category of non-malicious star boosting.
78 repositories detected with fake star activity have appeared on GitHub Trending pages; purchased stars can indeed successfully manipulate the platform's recommendation algorithm.
Redpoint partners found after investigating 80 developer tool companies that the median number of stars for seed-funded companies is 2,850, and for Series A is 4,980; these figures provide startups with a transparent shopping list.
Using cheap stars, it costs $85 to $285 to reach seed round star counts, and $990 to $4,500 to hit Series A thresholds.
VCs use stars for screening → projects boost stars → VCs see the "hype" and invest → more VCs track stars → more projects boost stars.
No one is a victim, and no one wants to be the first to stop.