Raindrop has been super helpful for identifying patterns in how people are using AI in Clay. We've been leveraging this data to inform product improvements.

Raindrop has been an invaluable partner in discovering hidden bugs and understanding which features are resonating with users. We have a high commitment to user privacy, so we wanted to do this type of analysis in bulk only, which they support. Did our fix actually work after deploying it? Are we still seeing the same problems pop up over time? Anyone who works with AI knows that this type of monitoring is super hard to pull off in production.

Raindrop has been critical to understand how people are using Atlas and in making decisions on what product features to build. Love their attention to detail, the translation feature has been a life saver with all of our international users. The platform + the ship speed of the team has accelerated our own product development and growth massively!

Raindrop has been invaluable as we've been growing quickly. It's critical for us to keep issue incidence below an acceptable threshold and become aware of any spikes. It's like if we see an iOS crash report in Sentry, but for our AI capabilities.

Raindrop is Sentry for AI agents. It's helped us find hidden issues and discover use cases that are directly shaping our engineering roadmap. Every day on my way to the office, I check the notification to see issues and that impacts what I prioritize.

Raindrop became irreplaceable the day we started using it. It's helped us diagnose issues quicker and deepen our understanding of what our users need most.

Without Raindrop, we wouldn't really understand how people use Can of Soup.