WakeMark is a bookmark management application designed for X (formerly Twitter). Its primary function is to organize saved tweets by automatically syncing, categorizing, and indexing them. The service addresses the common problem of bookmarks becoming difficult to retrieve over time, providing a searchable and structured library of saved content. The platform offers several features for interacting with bookmarks. Saved tweets are automatically tagged by topic, such as AI, Design, or Development. Users can perform full-text searches across their entire library and filter results by topic or engagement. WakeMark includes an AI-powered chat interface that allows users to query their bookmarks conversationally. It also generates a scheduled email digest that summarizes recent saves. For technical users, the application supports the Model Context Protocol (MCP), enabling integration with AI development tools like Cursor and Claude. To use WakeMark, users link their X account to the service. Bookmarks are then synced and categorized automatically without requiring manual input. The typical workflow involves saving tweets as usual on X, after which WakeMark processes them. Users can later retrieve specific posts through search, ask the AI questions about their saved content, or review the digest via email. The service is intended for individuals who save a high volume of tweets for research, content curation, or reference. WakeMark currently supports X, with support for additional platforms planned for future release.