The community has been actively contributing to the Neo4j platform, with various books, blog posts, GraphGists, and presentations shared throughout August. Several contributors have showcased their expertise in using Neo4j for different purposes such as learning the basics, building architectures, analyzing data, and modeling graphs. The contributions cover a range of topics including deep learning text classification, GitHub events analysis, and graph data modeling. These resources provide valuable insights and information for individuals looking to learn more about Neo4j and its applications in various fields.