github/dmca

nb is a command-line note manager and personal knowledge management system that organizes plain-text documents and web bookmarks. It functions as a Markdown knowledge base, allowing users to create a structured collection of information through a shell-scripted interface. The system uses Git for versioning and synchronization, tracking full revision history and enabling the sync of notebooks across multiple devices via remote repositories. It provides security for sensitive data through AES-256 or GPG encryption and supports document conversion into various publishing formats using the Pandoc

fsnotes is a markdown notes manager and cross-platform markdown editor for macOS and iOS. It functions as a personal knowledge base that organizes plain text and markdown files across folders using tags and bidirectional links. The system provides a secure environment through an encrypted plain text notebook that protects individual notes and folders. It implements Git-based note versioning to track document changes and maintain backups, while relying on external cloud storage services to synchronize files across devices. The application renders mathematical formulas, diagrams, and syntax-hi

This project is a database technical blog and markdown knowledge base. It serves as a structured repository of instructional content, guides, and an AI research archive focused on the intersection of artificial intelligence and database technologies. The project provides an open source community guide containing strategic frameworks and methodologies for operating and growing software communities. It also includes resources for database system selection, using evaluation rules and comparison frameworks to determine the most suitable architecture for specific technical needs. The repository c

This project is a collection of datasets and study guides consisting of curated algorithmic problems organized by employer for technical interview practice. It serves as a reference for identifying frequently asked coding challenges used by major companies during software engineering recruitment. The repository provides curated company problem sets and a discovery mechanism to identify common coding problems associated with specific employers. These lists are organized by frequency of occurrence to highlight typical technical challenges. The content is structured as a competitive programming