[slap_shot]

Congrats on the launch. This is a really interesting space that I think has a ton of potential - I'm watching pretty closely to see what comes out of it.

Have you heard of Outlier (https://outlier.ai)? Do you have any thoughts? How does Orbiter compare to Outlier?

(I haven't used Outlier but see it come up in anomaly detection discussion a lot recently).

[zhangwins]

Thank you! There's definitely a lot of growth and potential in this space and we're really excited too. We're focused on intelligent monitoring and alerting for metrics that the user cares about & defines. We also automate the diagnostic playbooks that teams use today after detecting an issue (eg check data, check user segments, check geographies, etc.) Outlier seems to focus on insights and less on monitoring/alerting. They comb through data to surface 4-5 "unexpected insights" about your customers or business every day in a FB feed-type product.

[ares2012]

Hi! (Founder of Outlier.ai here) You are right, our platform is designed to produce the most important insights from massive amounts of data, without requiring human supervision/configuration. It is most useful in applications when there is too much data to set up guardrails, or the teams don't know what guardrails to create. Our typical customers are very large consumer businesses who have data spread across dozens of systems and need to ensure they never miss important emerging trends or problems.

We are not an alerting or monitoring system, so I don't think you'd use us for the same applications as Orbital. The typical users of Outlier are the business users ranging from executives to business operations who want to make sure they are asking the right questions about the business.

Orbital looks like a great product, good luck in building your business!