Show HN: TensorPad – The Engineering Notebook You've Been Waiting For (www.tensorpad.dev)

TensorPad has launched an all-in-one engineering notebook that allows users to execute Python and MATLAB code, render LaTeX, create interactive graphs, and share their work with the community—all within a single platform. This tool is designed to streamline workflows by merging various functionalities typically spread across multiple applications into a seamless experience. Users can sign in with Google, Microsoft, or GitHub and start using pre-installed libraries like NumPy, SciPy, and Matplotlib without the need for installation, making it highly accessible for both students and professionals. The significance of TensorPad lies in its potential to enhance productivity for AI/ML developers and engineers by simplifying technical documentation, data analysis, and collaborative projects. The integration of Claude AI offers real-time assistance for code generation, debugging, and conceptual explanations, which can substantially accelerate learning and project completion. With features like automatic saving, Excel-like formula support, and user-friendly interactive graphing, TensorPad addresses common challenges faced in engineering tasks and promotes reproducibility in research. This innovative tool is poised to facilitate rapid prototyping and experimentation, empowering users to focus more on innovation rather than juggling multiple tabs and applications.