Mainline is an innovative, personalized chess training application that leverages scientific principles to enhance the player’s skills effectively and efficiently. Designed with user adaptability in mind, Mainline constructs a tailored training program that evolves based on your gameplay, available time, and specific objectives.

Key Features:

• Adaptive Training: Mainline continually adjusts your training sessions as you engage with drills and play real games, ensuring relevance and effectiveness in your practice.
• In-App Training Tools: Users can solve engaging puzzles, analyze past blunders, review games, and practice crucial endgame scenarios utilizing a local Stockfish engine for advanced analysis.
• Game Tracking and References: The app allows integration with platforms like Lichess and Chess.com to track your actual games, alongside logging study sessions for external books or courses.
• Personalized Constraints: Tailor your training schedule by setting daily time limits and preferred training days, ensuring that the program fits seamlessly into your lifestyle.

Clear Boundaries:

Mainline distinguishes itself by avoiding certain common features:

• No runtime large language models (LLM) or AI functionalities.
• Absence of social interactions or multiplayer options.
• No access to copyrighted books or course material within the application.
• Free from paywalled content or advertisements, providing a straightforward user experience.

Evidence-Based Approach:

Mainline prioritizes honesty and scientific rigor in its training methodologies:

1. Science-Based Activities: All activities are rated based on evidence quality, ranging from A to D, with appropriate citations for transparency.
2. Radically Honest Practices: The platform does not make exaggerated claims about guaranteed rating increases, focusing instead on enabling players to utilize available evidence effectively for their development.

Beta Phase:

As an open-source project under the AGPL-3.0 license, Mainline is currently in a closed beta phase where:

• All training features are offered free of charge.
• The app operates on a free-tier infrastructure.
• User data is exclusively for improving training recommendations and will never be sold or shared.

Development Setup:

For those interested in local development, Mainline requires Node 25.2.0 and npm 11. Instructions for setting up the development environment are provided within the repository.

Feedback and Contributions:

User feedback is encouraged during the beta phase. Any bugs or suggestions can be reported through GitHub issues.