
PlatformPilot is Live
AI agents that detect, diagnose, and fix outages 24/7
23 followers
AI agents that detect, diagnose, and fix outages 24/7
23 followers
Platform teams are drowning, more services, more alerts, same headcount. Engineers spend 40% of their time firefighting instead of building. MTTR climbs. Burnout spreads.
PlatformPilot is the AI Platform Engineer that works alongside your team. Our agents detect anomalies, diagnose root cause, and resolve incidents automatically 24/7.
Connects to your existing stack: Datadog, PagerDuty, Kubernetes, Slack.
Built by ex-VMware, Workday, and Microsoft infra engineers who lived the pain.
This is the 2nd launch from PlatformPilot is Live. View more

PlatformPilot
Launching today
PlatformPilot is your Autonomous Platform Engineer for on-call and incident remediation.
React and ingest your on-call alerts, diagnoses, and resolves issues automatically, learning from incidents to master your infrastructure. Full autonomy with human oversight for ultimate control.
Seamless integrations: Kubernetes, GCP, Datadog, PagerDuty, New Relic, GitHub, Slack, and more.
Ready to cut downtime by 80%? Get started: https://platformpilot.ai/
Peace of mind, engineered.




Payment Required
Launch Team


Hey Product Hunt!
I'm Laura, founder of DynG AI. I built PlatformPilot because I lived the problem, on-call every 2 to 3 weeks, getting woken up at 3 AM for yet another CrashLoopBackOff that followed the same runbook every time.
Life of our PlatformPilot users:
There are incidents happening, you don't wake up rushing because you know PlatformPilot is already working on it.
You wake up relaxed and the only thing you need to do is approve the plan.
Once everything is back and running, you can follow up and ask the agent what happened, to generate a post-mortem and even more.
PlatformPilot doesn't only act as on-call engineer, but can work with you to plan and optimize work ahead.
The key design choice: You stay in control. Over time PlatformPilot understands your infrastructure well enough to fix incidents on its own. Full autonomy when you say so.
Are you ready to reduce downtime?
We'd love to hear:
What incidents eat up the most of your team's time?
How do you loop learnings back to your teams post-incident?
Happy to answer any questions, let's get started.