Hi HN,I’ve been experimenting with ways to protect digital assets from automated AI web scrapers. I built Sigil, a local-first desktop application that embeds cryptographically signed ownership IDs into the LSB (Least Significant Bit) layer of images.The desktop vault itself (Svelte/Tauri/SQLite) is closed-source to protect the HMAC-SHA256 signing architecture, but I have open-sourced the Rust...
Hi HN,I built SpedFind because I wanted a highly accurate network diagnostic tool without the ads and clutter of mainstream options, wrapped in a developer-friendly interface.It comes in two parts:A Web Dashboard built with React, Vite, and Tailwind v4, featuring a Neo-Brutalist UI, live SVG telemetry charting, and a custom FastAPI stream engine backend for payload testing.A standalone Terminal...
https://nishal21.github.io/CarbonLint/
Hi HN,I'm excited to share CarbonLint, an open-source tool I've been building to help developers measure the actual energy consumption and carbon emissions of their software in real-time.While there are great tools for tracking CPU/RAM, there aren't many accessible ways to translate those hardware metrics into actual environmental impact natively on your local machine.How it works: • It's built...
I built CarbonLint because while we have plenty of tools to profile CPU and memory usage for performance, we rarely see the environmental cost of our local development workflows in real-time.
The app monitors system resources (CPU, Memory, Network) via systeminformation and node-powershell, then applies regional grid intensity data to estimate the CO2 emissions of your builds, tests, and background tasks.
The stack: Electron, React, Vite, and TailwindCSS.
A note on the stack: I realize the irony of using Electron (which isn’t known for being lightweight) to build a tool for energy efficiency! I chose it for rapid cross-platform UI development, but I’ve tried to keep the background monitoring processes as lean as possible. I am very open to feedback on how to further optimize the footprint of the observer itself.
I’d love to hear your thoughts on:
The calculation methodology (specifically regarding regional grid intensity).
Any other metrics you’d find useful in a "Green Ops" dashboard.
Thanks for checking it out!
https://github.com/nishal21/CarbonLintHi HN,I built CarbonLint because while we have plenty of tools to profile CPU and memory usage, we rarely see the environmental cost of our development workflows in real-time.CarbonLint is an open-source Electron desktop app that monitors your system resources (CPU, Memory, Network) and applies regional carbon intensity data to estimate the CO2 emissions of...