The text provides strategies for optimizing storage costs in Postgres databases by addressing issues such as unused indexes, storage duplicities, inefficient data types, column order, history retention, and autovacuum tuning. It highlights the importance of removing obsolete indexes to free up space and reduce write overhead, and suggests using efficient data types and rearranging column orders to minimize padding and wasted space. The text also discusses the benefits of using database branching, as provided by Neon, to reduce storage duplicities by sharing underlying data across environments, and adjusting the history retention period for cost savings while considering the trade-offs in recovery capabilities. Additionally, it emphasizes the significance of fine-tuning the autovacuum process to manage storage efficiently, particularly in highly transactional environments. Neon is presented as a tool that can enhance Postgres efficiency through its innovative storage management features, offering a free trial for potential users.