Pynb is a streamlined alternative to traditional Jupyter notebooks, designed for simplicity and efficiency, particularly for users with a ChatGPT subscription through Codex. One key feature is its ability to mix SQL results with DataFrames, making data manipulation more versatile. Fast data transfer is facilitated via ADBC, which improves the overall performance. Users benefit from a Git-friendly design that allows easy diffing and merging of notebooks, with dependencies that work out of the box, eliminating the need for complex kernel configurations. The application is lightweight, requiring less RAM than Jupyter and leveraging Apache Arrow for performance. Pynb ensures data privacy by keeping all data local on the user's machine and only gathering anonymized usage statistics. The installation process is straightforward; users simply download and run the app. Currently, it supports macOS 15 and above, including Apple Silicon, with plans to expand compatibility in the future. Pynb also introduces a unique percent format for cells, marked by # %% comments, which enhances Git compatibility. The app can manage and execute notebooks automatically, taking advantage of AI agent features, with support for Claude expected soon. While the platform currently lacks team collaboration tools, its focus on local workflows and ease of use makes it an appealing choice for data professionals looking for a more efficient notebook experience.