The ZeroFolio framework replaces hand-crafted instance features with pretrained text embeddings to select algorithms. It processes raw instance files as plain text and uses weighted k-nearest neighbors for selection. Tests across 11 ASlib scenarios show the method works without domain-specific training. This simplifies algorithm selection pipelines for diverse problem domains.