Orbiter AI

@mskpw Hey Steven - the accuracy of alerting is really important to us and is something we work closely with our customers on. for each metric, we build a custom ML model that is adjusted to meet your needs (e.g. time to detection, sensitivity, etc.). happy to chat about it more! feel free to DM me at winston[at]getorbiter.com :)

@zhangwins yea I feel like accuracy is a huge pain point for me. If you can do it, then I'm all in haha! Super interested to hear more, I just sent you an email!

@markstevenwai @zhangwins @liveink Origin stories eh, where do I begin 😂Mark and I worked at Tesla's on the growth team from pre-Model 3 days till the Cybertruck unveiling. The pain of not knowing what was broken at any given time was a huge pain. Tesla moved incredibly fast - there were dozens of features being shipped each week, new sales updates being launched and tweaked, and changes to plans across all parts of the org. That meant your features might be accidentally impacted when another team ships code, launches a new email campaign, tweaks the website, ... the list goes on. Elon is also just really good at finding out what's broken via Twitter. Add the two together, and you can imagine the kinds of fires that break out when you see that Elon email rolling through before anyone had caught a graph trend dipping. Winston also has similar stories from Doordash too - it's what happens when you have growing companies that are trying to push the bounds on responsiveness and attention to customers.

@markstevenwai @zhangwins @victor_zhang1 Thank you! This line is amazing "Elon is also just really good at finding out what's broken via Twitter."

@keegan_huang That's right! part our long term vision is to enable teams to be more efficient so they can go more on offense.