Rapid automatized naming (RAN) powerfully predicts word-level reading fluency in the first 2 years of school as well as further reading development. Here, we analyze various RAN stimuli (objects and digits) and oral/silent word reading (OWR/SWR) modalities to find feasible measures for predicting early reading development. The RAN performances of 127 children starting first grade were assessed. The children's oral and silent word reading skills were then reassessed in the second grade. Linear regression models and relative weight analysis were used to compare reading and screening modalities and further precursors of reading such as phonological awareness and nonverbal IQ were controlled. Scores from the first grade RAN assessment did not differentially predict second grade OWR versus SWR levels. RAN digits predicted word reading development more strongly than RAN objects, which contributed uniquely when predictions used only RAN variables. However, when different precursors of reading were controlled, only RAN digits helped to predict early reading performance.