To create successful graph applications, it's essential to use the right tool for the job, leverage connections and speed, and start with obvious use cases like social networks or knowledge graphs. Good graph-based systems begin with modeling, starting small and scaling later, and focusing on value rather than just technical aspects. Graphs are valuable when used to find patterns and make predictions about future dynamics of the network, and exploring hidden insights can reveal new information. Finally, connecting with the graph community is crucial for learning from others and realizing the value of graph technology more quickly.