Show HN: Echo – Local-first kindle-like reader with annotations and LLM chat (github.com)

Echo, a new AI-powered reading companion, allows users to engage with PDF documents through features like annotation and seamless integration with a large language model (LLM) for discussion without the need for context switching. The application offers essential PDF functionalities such as search, bookmarks, page navigation, and zoom, while empowering users to highlight, comment, and take freeform notes. The standout feature is its ability to chat about the document's content in real-time using OpenAI's LLM integration, eliminating the hassle of manual copying and pasting. This project is particularly significant for the AI/ML community as it emphasizes local-first design, ensuring that all data, including annotations and settings, are securely stored on the user’s device, thus addressing privacy concerns often associated with cloud-based tools. Users can easily export their notes in multiple formats like Markdown, PDF, or TXT, enhancing compatibility with other applications. Developed as a personal learning project by Tibi Iorga in collaboration with Cursor, Echo exemplifies a shift towards user-centric, privacy-focused applications in the AI marketplace, inviting developers to contribute and expand its capabilities under the MIT license.