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Bright and highly magnified lensed galaxies offer the best possible view of early galaxy formation at high-redshift (1<z<4). However comma such sources are extremely rare. As a result high-quality lens samples are currently limited. A new sample of virgul1000 bright lensed galaxies candidates has now been identified using a convolutional neural network ensemble in the Dark Energy Camera Survey and Dark Energy Legacy Survey. By observing these with HST in SNAP mode we can quickly confirm their lensed nature comma provide the data needed for accurate lensed modeling comma and define a key sample for spectroscopic follow-up to address numerous science cases. This program will dramatically increase the number of known bright lensed galaxies with HST imaging comma overcoming a major limiting factor and leaving a tremendous legacy value for galaxy evolution and cosmology. The sample will enable future study of the ISM and outflows in large samples of high-redshift sources comma kinematic measurements with next-generation AO systems comma and cosmological studies probing the nature of dark matter and fundamental parameters such as the Hubble constant. We waive any proprietry period on this important dataset.