Shift AI training & CI/CD to the lowest carbon regions!
Shifting compute like AI training, CI/CD pipelines to data centers in the lowest-carbon regions for a 90% reduction in CO2. Running across multiple clouds (AWS, Azure and GCP), we use live grid data to shift workloads where emissions are lowest and cheapest
We built CarbonRunner because the internet already accounts for nearly 4% of global greenhouse gas emissions. Compute and power demand is booming, and in the US alone, it’s set to quadruple by 2030. Most data centres are still in regions fuelled by fossil fuels, so the problem is growing fast. CarbonRunner automatically finds the cheapest and lowest-carbon regions to run your jobs, in real-time. It works across multi-cloud providers like AWS, Azure, and GCP, and lets you control region preferenc
I love this idea—it makes so much sense! Thinking about Spain, for instance, solar energy production peaks around noon, often when demand for heating and lighting is low. By using this surplus energy, your solution could help reduce the need for batteries and all the production and recycling that goes with them, making the most of this green energy! I'm curious about the next steps. How does your business model work, and what does it take for other platforms to integrate with you?
After the brief overview you gave me on our call - I was super impressed. I especially like the way you have used clear data visualisations as part of the UX to help see the impact of recent jobs as well as cumulative progress being made. By demonstrating the change and providing feedback, CarbonRunner rewards positive steps, making it easier, most cost-efficient, and value-driven to sustain new greener ways of working.
Really smart approach — using live grid data to shift compute for both cost savings and massive carbon reduction makes sustainability practical. Love that it works across AWS, Azure, and GCP. How seamless is the integration with existing pipelines for teams already running heavy AI training?
Love how CarbonRunner auto-picks the greenest cloud regions for GitHub Actions—fr, that’s next-level smart for both the planet AND budgets. Super clever idea, team!
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A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.