joshuatochinwachi/Solana-Game-Signals-and-Predictive-Modelling
Next-generation analytics & ML-powered churn prediction for Solana gaming. Self-training models predict player churn 14 days in advance. Live dashboard + REST API analyzing 60M+ on-chain transactions across 12 games.
This platform helps Solana game developers understand player behavior and proactively reduce player churn. By analyzing over 60 million on-chain transactions across 12 games, it identifies players likely to leave 14 days in advance and provides these insights through a live, gamified dashboard and an API. Game developers can use this to make data-driven decisions on player retention.
Use this if you are a Solana game developer who needs to predict player churn, understand cross-game player behavior, and make proactive decisions to improve player retention.
Not ideal if you are looking for analytics for games outside the Solana ecosystem or if your primary need is for game design rather than player retention.
Stars
10
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Language
TypeScript
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Category
Last pushed
Feb 18, 2026
Commits (30d)
0
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