GitHub - sstraust/shannonmax: maximize your keybinding efficiency in emacs!
Hacker News
February 19, 2026
AI-Generated Deep Dive Summary
GitHub project ShannonMax aims to enhance efficiency in Emacs by leveraging information theory to optimize keybindings. The tool analyzes your typing patterns and suggests shorter, more efficient shortcuts for frequently used commands, reducing the number of keystrokes over time. By calculating the theoretical length of each command based on usage frequency, ShannonMax helps identify which bindings can be improved to minimize typing effort.
To use ShannonMax, users need to download specific files and place them in their Emacs directory. The process involves enabling a keylogger within Emacs to collect data on your keystrokes, ensuring no sensitive information is logged. Once the logger is set up, you can analyze results through a predefined command. The tool provides clear instructions for viewing output and customizing behavior, such as adjusting how keypress costs are calculated or modifying the alphabet size based on your keyboard layout.
The tool’s approach is rooted in information theory, which calculates the optimal length of keybindings by considering the number of possible commands and the cost of each keystroke. By default, it assumes a standard keyboard setup but allows customization for users with unique input methods. This flexibility makes ShannonMax adaptable to different workflows while maintaining its core purpose: improving efficiency.
For tech enthusiasts and developers who spend hours in Emacs, ShannonMax offers a smart way to streamline their workflow. It’s particularly valuable for those looking to maximize productivity by minimizing repetitive actions. The tool not only saves time but also introduces an innovative approach to optimizing keybindings using information theory, setting it apart from traditional methods. For anyone seeking to elevate their Emacs experience, ShannonMax provides a fresh perspective on efficiency and customization.
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Originally published on Hacker News on 2/19/2026