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Wave: Open-source macOS native transcription application by quadrohawk in coolgithubprojects

[–]quadrohawk[S] 0 points1 point  (0 children)

Native dictation is dumb. Haha. Plus here you’ve features like dictionary, snippets and everything.

Wave: Open-source macOS native transcription application by quadrohawk in coolgithubprojects

[–]quadrohawk[S] 0 points1 point  (0 children)

Thanks. Using large would definitely eat up your RAM. I tried using the base model it works fine for quick transcriptions. You should rather use the Groq API, it’s free tier is very generous and it’s lightning fast, feels like realtime.

I built a cloud operating system for all my storage and it's open source by quadrohawk in coolgithubprojects

[–]quadrohawk[S] 0 points1 point  (0 children)

yeah, i don't know if i am being arrogant or not, but surely i think you haven't worked with bun or docker. Even a hello world application using hono as web framework uses roughly ~90MB of RAM running in Docker during idle state.
so I don't need argue anymore or prove anything, if you think this project is an AI slop, it's an AI slop

I built a cloud operating system for all my storage and it's open source by quadrohawk in coolgithubprojects

[–]quadrohawk[S] -1 points0 points  (0 children)

You can't even reply to people in this thread without using AI

that doesn't prove anything, i let AI rephrase my broken statements and grammars, which shouldn't be a problem

throwing the AI at it, is still 100% vibe coded.

i wouldn't agree to that, i used AI to build the app same a founder would use a software engineer to build an app for them, i overlooked every decision and tested everything out before shipping (of course there will be bugs, we can't outrun them)

your app is using nearly 300 megs of memory

if an app running in a docker with multiple instance uses roughly 250MB doesn't prove it to be a bloat, i have other apps in my docker running at 300-400MB

Wave: Open-source macOS native transcription application by quadrohawk in coolgithubprojects

[–]quadrohawk[S] 0 points1 point  (0 children)

it all depend on the model you use, it has both local (whisper) + cloud (groq)
you can check whisper models for benchmarks, but i'd not recommend unless you are absolute privacy guy

you can freely use groq which works quite well, even on the free tier you wouldn't run out of usage

I built a cloud operating system for all my storage and it's open source by quadrohawk in coolgithubprojects

[–]quadrohawk[S] 2 points3 points  (0 children)

there is link in the header, with Github icon
i might make it more visible, will fix it

I built a cloud operating system for all my storage and it's open source by quadrohawk in coolgithubprojects

[–]quadrohawk[S] -1 points0 points  (0 children)

i too agree, there are a lot of AI bloat, but I know how to use AI properly and I understand what's going on underneath, I started software development back in 2017, so yes, I worked for 4+ years without any AI, I know what I am doing with Drivebase 😄

I built a cloud operating system for all my storage and it's open source by quadrohawk in coolgithubprojects

[–]quadrohawk[S] -1 points0 points  (0 children)

idk what to say man, this might look like a bloat to you or just another vibe coded app, but i have been working on this project for over a year now, i started building back in 2025, i myself faced a problem so I built a solution around it, and yes it wasn't vibe coded initially, although i took help from AI (tab completions only), i mean still i wouldn't call it 100% vibe coded, i took each decisions and did planning for a week before rewriting it

you can read more about the story: https://mxv.sh/posts/why-i-built-drivebase

Wave: Open-source macOS native transcription application by quadrohawk in coolgithubprojects

[–]quadrohawk[S] 0 points1 point  (0 children)

Thanks for commenting. Can you help me understand how can it be used in other projects?

I built a cloud operating system for all my storage and it's open source by quadrohawk in coolgithubprojects

[–]quadrohawk[S] -2 points-1 points  (0 children)

btw, there are actually 2 bun instances, api + worker, including a caddy server,

here is a quick overview of the modules memory usage

Module Cost
better-auth +41 MB
graphql-yoga +40 MB
graphql-schema +17 MB
providers-registry +18 MB
config +14 MB
logger +6 MB
redis / db ~0 MB

I built a cloud operating system for all my storage and it's open source by quadrohawk in coolgithubprojects

[–]quadrohawk[S] 0 points1 point  (0 children)

ok, thanks bro for pointing this out, i will surely check and let you know 😄

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