Show HN: Pebble Falcon–autonomous right-sizer and carbon-aware K8s scheduler

Hi HN — I’m Keval, part of the AI team behind Pebble Falcon.

What it Pebble Falcon:

Two long-running agents you deploy inside your k8s cluster.

> PerfectFit:

- Streams pod / VM / GPU utilization

- Calculates head-room

- Generates JSON patches to right-size CPU, memory and storage

- Optional human-approval step

> EcoAgent

- Polls real-time grid-carbon feed and re-configures GPU nodes and pods to maximize clean energy use.

- Re-queues batch jobs to the region with the lowest gCO₂/kWh that still meets your latency SLA

A lightweight web UI shows cost saved, watts avoided and a 30-day projection.

No data leaves the cluster; the only inbound feed is public carbon intensity.

Why we built it:

We kept seeing GPU nodes idling below 20 % while ETL jobs ran in high-carbon regions. Manual “rightsizing sprints” never caught up.

Pilot result (40-node GPU cluster, 30 days) 70% idle compute removed

4160 kg CO₂ avoided (≈ six NYC→London flights)

Pebble Falcon needs access to clusters so no public sandbox yet. Instead we recorded a 3-min overview of the agents.

Video Demo: https://youtu.be/DTpHxAmVrAo

However if you’re interested in trying it out, comment and we’ll get in contact and can add you to our pilot test: https://www.gopebble.com/sign-up

AMA about energy, cost and compute aware scheduling for AI workloads.