Orbiter AI

Detect business issues without staring at a dashboard

5 followers

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.
Orbiter AI gallery image
Orbiter AI gallery image
Orbiter AI gallery image
Orbiter AI gallery image
Orbiter AI gallery image
Launch tags:Web AppAnalyticsSaaS
Launch Team
Anima Playground
AI with an Eye for Design
Promoted

What do you think? …

Steven Kwok Ping
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 :(
Winston Zhang
@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 :)
Steven Kwok Ping
@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!
Keegan Huang
This solves a real pain for us running an enterprise SaaS - empowers us to "go on offense".
Victor Zhang
@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.
Sumanyu Sharma
Man this thing will save me / the team so much time. As a data scientist, I spend so much time manually monitoring what's good, what's bad and what's ok and sometimes it's not even obvious to me if something is noise or actually a real trend. We tried using static 'threshold' filters in persicope or other tools but they have too many false positives. Seems like you guys have thought about how to trade off between false positives and false negatives, which is v clever. Gonna give this a spin today!
Mark Wai
@sumanyu_sharma thanks! Excited to hear this your thoughts and feedback on this as it sounds like you’ve thought about this place problem space! Our signal to noise ratio is one of our highest priorities, so I’m happy to chat more on that if you’d like! Please send us an email and we’ll get you set up :)
Sumanyu Sharma
@markstevenwai Sentttttt
Kenna Dizon
I can think of several instances when Orbiter would’ve proactively helped my team in the past and can see it becoming a necessity for any team looking to stay ahead of the game moving forward. Looking forward to following the progress and success of this tool!
Winston Zhang
@kennahasson Thanks Kenna!
Matthew Liem
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.
Mark Wai
@matthew_liem 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.
Mark Wai
@matthew_liem 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!
Gregory Gevorkyan
Really good product - it's sometimes just too much effort constantly monitoring significant changes to your metric, this is a life-saver!
Victor Zhang
@grisha_gevorkyan 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.
Jake Mor
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 :)
Winston Zhang
@jakemor 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)
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