Spreadsheets are increasingly important for data teams, though often overlooked in terms of innovation and optimization.
David Kircos, an entrepreneur with experience in technology startups, recognized the limitations of traditional spreadsheets and the need for a more efficient data modeling solution. This realization prompted him to co-found Quadratic, a startup that combines the familiarity of spreadsheets with the power of programming languages like Python.
Quadratic enables data analysts and developers to leverage popular tools like Python, Pandas, SQL, JavaScript, and Excel formulas within a familiar spreadsheet interface. Users can import large datasets, perform analyses, and share results seamlessly.
Unlike traditional spreadsheets, Quadratic offers enhanced performance through its engine built on Rust and WebGL. Additionally, the platform is free for individual and educational use, with businesses and teams requiring a paid subscription.
Quadratic distinguishes itself from competitors through its performance, open-access approach, and integration capabilities. The startup recently secured a $5.6 million seed round led by GV and plans to expand its team and customer base.