  We present a unique method that allows the LSST to scan the sky for stellar
variability on short timescales. The operational component of the strategy
requires LSST to take star trail images. The image processing component uses
deep learning to sift for transient events on timescales down to 10 ms. We
advocate for enabling this observing mode with LSST, as coupling this
capability with the LSST's tremendous 319.5 m$^2$deg$^2$ etendue will produce
the first wide area optical survey of the universe on these timescales. We
explain how these data will advance both planned lines of investigation and
enable new research in the areas of stellar flares, cataclysmic variables,
active galactic nuclei, Kuiper Belt objects, gamma-ray bursts, and fast radio
bursts.
