Why we built SubTrackHub
The "billing fog" in modern cloud infrastructure is real. We analyzed 500+ AWS accounts and found that roughly 30-40% of spend is wasted on resources no one is using.
As a developer, there's nothing more frustrating than realizing you've been paying $100/mo for a t3.medium instance you forgot to delete three months ago.
The Technical Challenge
Building a "read-only" auditor that works across multi-cloud environments (AWS, GCP, Azure) and SaaS (GitHub, Vercel, Clerk) requires a robust integration strategy.
1. The Multi-Cloud "Deep Scan"
We didn't just want to pull high-level billing data. We built deep scans that look at:
- CPU Utilization: Flagging instances with <5% average use over 7 days.
- Orphaned EBS Volumes: Identifying storage billed for non-existent VMs.
- Network Waste: Finding idle NAT Gateways and unattached Elastic IPs.
2. The Identity Gap
We built a GitHub Seat Optimizer that checks for "Ghost Users"—people who are being paid for in your organization but haven't made a commit or logged in for 30+ days.
The "Savage" Advantage: AI-Driven Remediation
Unlike other tools that just show you a graph of your waste, we built Savage AI Roadmaps.
It’s one thing to see a leak; it's another to fix it. Our AI engine generates an exact sequence of CLI commands and terraform adjustments for every leak we find. You don't have to go digging through the AWS Console—you just copy, paste, and save.
Check it out!
If you're a dev or founder tired of paying the "Shadow IT Tax," check out our internal guides or see the tool in action:
👉 View SubTrackHub
👉 Read our Guide: How to find Idle AWS Instances
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