Cloud emissions measurement and cost optimization platform
Greenpixie measures cloud emissions and cost across AWS, Azure, and GCP for mid-market enterprises. The stack is modern—React, Python, FastAPI, Terraform—with heavy use of Flexera for cloud data ingestion and pandas/Polars for emissions modeling. Notably, the org is adopting Claude and Cursor while actively hiring 7 engineers and 4 sales roles, suggesting a shift from product-first toward sales motion; the pain list flags 'building outbound pipeline' and 'scaling sales function' repeatedly, indicating early-stage go-to-market friction.
Greenpixie is a London-based cloud sustainability platform founded in 2021. The company helps engineering and finance teams measure emissions and costs across multi-cloud infrastructure (AWS, Azure, GCP) and model optimization paths. The product is data-intensive—built on Python/Polars/Terraform—and serves compliance-driven and cost-conscious buyers. Current work spans emissions quantification accuracy, a front-end redesign for metrics visualization, and partner/direct sales channel buildout. The 11–50-person team is UK-based and engineering-heavy relative to sales, with active hiring in both functions.
AWS, Azure, and GCP. The platform integrates with Flexera to ingest cloud data and uses Python/Polars to model emissions and costs across all three.
Frontend: React, Next.js, Tailwind CSS, shadcn/ui, TanStack Query, Redux. Backend: Python, FastAPI, Flask, pandas, Polars. Infrastructure: Terraform, AWS, Azure, GCP. Recent adoptions: Claude and Cursor for development.
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