nable started as a personal frustration. It's turning into the FinOps layer for every team that runs infrastructure in the cloud and works in the AI era.
I built this because I spent most of my day bouncing between dashboards that barely showed what I actually needed, the AWS console, and Claude. I'd ask Claude a question, manually paste in numbers, get an answer, then go back and repeat the whole thing.
A lot of FinOps tools are shipping MCP integrations now. But they're all built for enterprise, priced for enterprise, and none of them fit the way I actually work. They give you visibility. They don't help you think.
nable solves the problems I actually had. The recommendations go deeper than anything I've seen out of the box, and for the first time I can actually reason through my own optimization opportunities instead of just staring at a graph.
I'm building solo, early, and moving fast. If you have cloud spend and you use Claude or Cursor, I'd love for you to try it.
$700B+ annual cloud and SaaS spend, growing 18% YoY. Every dollar is unaccountable until someone reconciles 8 dashboards and a CSV. That reconciliation work is the wedge.
AI editors made plain-English access to live data the default interface. Asking "what spiked" is now cheaper than building a dashboard. The dashboard era is becoming the legacy era.
Credentials in the OS keyring. No data lake. No SOC-2 surface area. Each new connector is a feature shipment, not a security review. Enterprise sells itself.
Organic install numbers from PyPI. Pre-revenue, working product.
Organic, bottom-up. No paid acquisition.
Install to your first cost query. The wizard auto-configures the MCP client.
AWS, Azure, GCP, and 14 more. Every one a real API integration, not a CSV export.
If you invest in developer tools, infrastructure, or AI-native SaaS, I'd like to talk. Looking for a lead who understands bottom-up GTM and has conviction on the MCP ecosystem.
The ask: building the FinOps runtime for the AI era. The wedge is the people who want cost visibility in the tool they already have open, founders, operators, and the teams who own the bill. The expansion is teams, orgs, and the automation layer that closes the loop from detection to merged PR.
Early traction, working product, thesis grounded in a real shift in how teams work with cloud and AI spend. Not another FinOps dashboard. The default way every team manages cloud and AI costs in the AI era.