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nishalk

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投稿

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1 ポイント·投稿者 nishalk·3 か月前·0 コメント

Show HN: Sigil – A zero-knowledge steganography vault for AI training data

1 ポイント·投稿者 nishalk·4 か月前·0 コメント

Show HN: SpedFind – An open-source internet speed test (React/Python and CLI)

3 ポイント·投稿者 nishalk·4 か月前·3 コメント

Show HN: CarbonLint – Open-source real-time energy&carbon profiler for software

nishal21.github.io
3 ポイント·投稿者 nishalk·4 か月前·0 コメント

Show HN: CarbonLint – Real-time carbon footprint tracker for code

1 ポイント·投稿者 nishalk·5 か月前·2 コメント

コメント

nishalk
·3 か月前·議論
I dont have money to host it so hosted it in render and selected singapore as server but the problem is it is in free plan so it needs time to activate and server is in there the ping other items test will be higher when checked with other services
nishalk
·5 か月前·議論
Hi HN, creator here!

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!