In this work, we developed Open-ComBind, an open-source alternative to ComBind, to increase pose prediction performance over gnina. Open-ComBind reduces the average RMSD to ground truth from gnina's 3.24 Åto 3.03 Åfor all ligands. We utilize ligands lacking structural information as well as a distribution of ligand feature similarity of both native poses and all poses. Open-ComBind utilizes pairwise similarities between sets of ligand poses to determine the poses which maximize inter-ligand similarity of binding. We see pose selection improvement equal to the full pipeline when using only hydrophobic contact similarity and the RMSD between the MCSS of ligand pairs. Additionally, we observe that Open-ComBind only requires ten helper ligands to reach the pose prediction performance of using 20 helper ligands. We provide the Open-ComBind in an easy-to-use API as well as source code and data to use the Open-ComBind pipeline at our GitHub repo: www.github.com/drewnutt/open-combind/ Figures S1-S7 are provided in the supplementary file.