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Use asynchronous programming techniques: Instead of waiting for the insert to complete, use asynchronous programming techniques such as promises or callbacks to execute other tasks in the meantime.

Implement connection pooling: To avoid the overhead of opening and closing database connections, implement a connection pool that maintains a pool of already created connections to the PostgreSQL database.

Batch inserts: Instead of inserting one row at a time, implement a batch insert method that inserts multiple rows in a single query. This can significantly reduce the time spent waiting for the insert to complete.

Use the COPY command: The PostgreSQL COPY command is a fast and efficient way to insert large amounts of data into a table. It reads data directly from a file and inserts it into the database, bypassing the overhead of individual inserts.

Use AWS RDS Provisioned IOPS: Provisioned IOPS provide a guaranteed level of performance for AWS RDS databases. This can help reduce the time spent waiting for inserts to complete.

Use AWS DynamoDB: AWS DynamoDB is a NoSQL database that is designed to be fast and scalable. It may be a better fit for certain use cases, particularly those that require high throughput and low latency.