Everybody knows Polars revolutionised the dataframe landscape, yet fewer realise that machine learning is next. Thanks to its extreme speed, we can speed up feature engineering by 1-2 orders of magnitude. The true gains, however, span across the whole ML lifecycle, with significantly faster batch inference and effortless scaling (no PySpark required!). Add a best-of-the-class set of tools for feature extraction, model evaluation and diagnostic visualisations and you'll get functime: a next-generation library for ML forecasting. Though time-series practitioners are the primary audience, there's something for all data scientists. It's not just forecasting: it's about building the next generation of machine learning libraries.