That’s really interesting, especially your point about preprocessing and indexing being required to make search outputs good.
What was the first sign that made you realize querying live APIs wasn’t enough?
Was it latency, missing data, or just that results weren’t relevant?
And when you say preprocessing, what kind of transformations or normalization ended up being most important?
Thank you that is really helpful. Will check Nango out.
When teams integrate Gmail or other tools with Nango, what usually triggers them to start syncing data instead of just using the query endpoints?
Is there a specific type of query or user behavior that makes them realize they need to index and sync data? Just curious