GreenKube – Open-source K8s cost and CO2 optimization engine
Per-pod carbon tracking with recommendations beats Cloud Carbon Footprint's complexity.
Real-time PC power consumption monitor - see watts per app & per component, track your carbon footprint & electricity cost.
Per-app wattage attribution using RAPL and GPU counters when other monitors only show component totals.
Developers and system administrators monitoring energy usage
HWiNFO · Open Hardware Monitor · PowerTOP
Most monitoring tools expose CPU or GPU usage per process, but not energy usage in watts. We wanted to see where the actual power goes.
WattSeal measures total system power and combines it with system telemetry to estimate how much energy each process is responsible for. It gathers metrics from CPU, GPU, RAM, disk, network and distributes total power across running processes.
The backend is written in Rust and runs as a lightweight background process that records measurements in a SQLite database. The UI is built using the iced Rust GUI library. One of the trickiest parts is attributing total system power to processes when most hardware only exposes component-level telemetry (e.g. CPU package power via RAPL or GPU power counters).
The project is open source and currently supports Windows, Linux and macOS, with hardware from Intel, AMD and NVIDIA.
Download it here: https://wattseal.com
This is our first Rust project, feedback from people familiar with system telemetry or energy monitoring would be very welcome.
Per-pod carbon tracking with recommendations beats Cloud Carbon Footprint's complexity.
Real-time power-per-token metering across GPU/CPU/ANE—no other macOS LLM tool correlates hardware telemetry.
htop for Ollama with access-log telemetry, no server modifications needed.
Brier score calibration quiz is solid but prediction tracking tools already exist.
The site sells the idea through strong typography, a dramatic hero and a clear equation (ηY = I_exploited / I_Bekenstein), which gives the essay an immediate intellectual hook. Clever framing — flipping Kardashev from 'how much energy' to 'how deeply you manipulate reality' — but most of the argumentative work is literature review (Barrow, Sagan, Smart). It's thoughtful writing dressed in a beautiful one-pager, not a new research tool; interactive calculators or empirical examples would push this past being just a persuasive blog post.
LLM cost calculator with current pricing, but spreadsheets and existing tools already do this.