Show HN: Gamma PDF – AI-native PDF reader, self-hosted (gammapdf.com)

Gamma PDF has launched an AI-native, self-hosted PDF reader that allows researchers to effectively manage and interact with academic papers. Key features include the ability to highlight, annotate, and take notes using live Markdown and LaTeX, while seamlessly integrating AI-powered features that let users query their documents for relevant passages via APIs like OpenAI's. This tool is significant for the AI/ML community as it simplifies the research process, facilitates collaborative workflows through shared workspaces, and maintains data privacy since it can be self-hosted without telemetry. Technical details include support for various platforms such as Windows, Mac, iPad, and Android, with a Docker image available for easy setup on servers. Users can import data from popular tools like Zotero and Notion, and the reader allows for real-time collaboration with live cursors and comments. Notably, Gamma PDF keeps all user data in one Docker volume, ensuring easy management while allowing users to export their data anytime. With the integration of AI tools for enhanced document interaction, Gamma PDF represents a significant step forward in combining traditional research practices with modern technology.