Show HN: QuiverKit – 62 developer tools that run offline(quiverkit.dev)
4 pointsby ensardev8 hours ago4 comments
  • dualfacean hour ago
    Great!

    But SmartScreen blocked the download, and I had to explicitly tell Edge to keep the file. Task Manager showed less than 10 MB of memory usage, which surprised me. Is the memory used by WebView not included in that figure?

  • heyliotan hour ago
    That's a really cool project tbh.. A mac version planned soon??
  • ruairidhwm4 hours ago
    Nice! Reminds me a little of https://github.com/gchq/CyberChef
    • ensardev4 hours ago
      From what I can tell, CyberChef is a more comprehensive and well-established project. Of course, there are many projects like this. I wanted to work on a project like this because I thought it would be a good fit for Vibecoding. It would also be a good opportunity to try out Tauri and other tools.
      • ruairidhwm2 hours ago
        Absolutely - not a criticism. I think it's great to try out projects :)
  • canary-digital8 hours ago
    Really cool project! Tauri is fantastic for keeping the memory footprint small compared to Electron. You mentioned 'Vibecoding' and building this to get used to AI coding tools. I'm curious: which parts of the Tauri/Rust boundary were the hardest for the AI to get right? In my experience, LLMs are great at the frontend JS/React, but sometimes hallucinate bad IPC (Inter-Process Communication) calls when talking to the Rust backend. Did you run into that issue?
    • ensardev8 hours ago
      I definitely agree with what you said about Tauri. Tauri’s performance surprised me.

      As for what you said, to be honest, this project was just a starting point for me in terms of getting to know Tauri. So, in the context of this project, I’d say Tauri was more of a shell designed to deliver the application natively, rather than a tool where I fully utilized all its capabilities. In that regard, I didn’t encounter the kind of issue you mentioned. I mostly noticed that the AI initially struggled with window control and couldn’t grasp the situation. In short, when it came to ACL, I had to identify the problem and guide it. The AI had written reasonable window control code but had overlooked what to do regarding permissions.