Orbiter AI - Detect business issues without staring at a dashboard

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Orbiter analyzes data in real-time to detect abnormal drops in business and product metrics. When a problem is detected, we alert teams in Slack so they never miss an issue that is impacting revenue or users.

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This solves a real pain for us running an enterprise SaaS - empowers us to "go on offense".
That's right! part our long term vision is to enable teams to be more efficient so they can go more on offense.
Really good product - it's sometimes just too much effort constantly monitoring significant changes to your metric, this is a life-saver!
Thanks Grisha! That was exactly our motivation for building Orbiter. Having to track pages and pages and pages of dashboards is so time-consuming in today's fast moving world.
Using Orbiter right now and it's a great feeling to get the Slack message from Orbiter and know that all the product metrics are being monitored 🙏. what's the origin story (any personal stories you can tell from Tesla / FB / or DoorDash?
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.
Thank you! This line is amazing "Elon is also just really good at finding out what's broken via Twitter."
Really neat! Will this hook up to any database?
hey! We support the following databases so far: Postgres, Mysql, MSSql, MariaDB, and Redshift. We're currently working on Bigquery, and Snowflake! What dbs do you use?
What's the ETA on BQ?
awesome to hear! BQ support is currently in testing, so sign up for access through our site and I’d love to get your feedback!
Wow what a cool product, excited to try it out!
Thanks ! You can always shoot us an email at and we can get you started!
Cool product! Can't wait to try it out. I'm curious about real time metrics, is there plan to support those? Like data coming from kafka or non relational db's like nosql? Some of our real time metrics are fed/ingested through these. Also, what if i wanted to make or compute my own metric coming from different sources. Thanks.
awesome questions, appreciate it! Currently we support streaming data into analytics databases in Postgres, where some of customers actually get data posted every minute! We currently do not have connections to Kafka or NoSQL implementations but we're always interested to get more users onboard! Please send us an email and I'd love to chat more about your specific implementation.
in terms of computing metrics from different sources, we support this! That's our main benefit of staying platform/database agnostic to enable really interesting joins across multiple databases. For example, if you had revenue in one db, and geographic order data in another, you could get automated monitoring and alerting for your revenue by region!
Great to see it launch!! Known the the maker team for a long time and was an early beta user. It has really given us the time back to focus on other parts of the business.
Thanks Harry - awesome to hear! One of our product values is speed -- speed of detection, speed of diagnosis, speed of resolution -- and so we want to automate time-consuming analytics work so that companies have the ability to focus on higher leverage tasks
Hmm looks super dope, but seriously, does it work? I've built manual alerting on my product eng team and we get a lot of noise :(
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 :)
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!
Yessss 🙏 Been using orbiter for quite some time now — so happy to see you launch! Amazing team. I signed up for peace of mind, frantically checking my dashboards every 10 minutes was just unhealthy. What's cool is it also notifies you in the opposite direction too, when things start to grow :)
Thanks Jake! We're actually so pumped to solve this problem since we experienced it first-hand. Hard to imagine a world 5 years from now where metrics and dashboards aren't fully autonomous, monitoring themselves, and letting the user know when there's an insight (good, or bad)
Such a cool concept - can’t wait to see more about this!
thanks Walter, we're really excited to show more! Sign up on our website to get updates if you'd like :D
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