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Can I vibecode AudioFetcher?

price $6/moyou'd save $72/yrbuild time one sittingcategory audio-videoreplaced by 0 people
KINDA
MOATexecution polish

The core loop is genuinely one-shottable: a small local UI, yt-dlp for the fetch, ffmpeg for the encode, files land in a folder. What is not a one sitting is everything that makes a public converter feel reliable week after week · YouTube bot checks, cookies/PO tokens, geo blocks, fair queues, abuse protection, and a hosted path so non-technical people never open a terminal. Build the personal script; do not expect one prompt to replace a maintained public service.

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The Build Prompt

copy it and go build
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Build me a personal YouTube-to-MP3 tool to replace AudioFetcher for one user on my laptop. Requirements:

- Python 3.11 + a tiny localhost Flask or Starlette app; one page with a URL field,
  quality select (128 / 192 / 256 / 320 kbps), and a Convert button.
- On submit, shell out to yt-dlp to pull best audio only, then ffmpeg to CBR MP3 at the
  chosen bitrate. Write files into ./downloads with a safe title filename.
- Support a single video URL and a playlist URL. For playlists, show a checkbox list of
  titles first (yt-dlp --flat-playlist --print), then convert only checked items one by one
  with a simple progress log on the page (SSE or polling).
- Put YT_COOKIES_FILE and optional HTTP_PROXY in .env; pass them to yt-dlp when set.
  If yt-dlp returns LOGIN_REQUIRED or bot-check text, show that error plainly and tell me
  to export cookies from a logged-in browser.
- Cap each job at 3 hours of media; reject live streams. No accounts, no cloud, no queue
  service for other users · this is just me.
- Out of scope: multi-tenant fair queues, Stripe/Pro billing, magic-link auth, public
  abuse protection, mobile apps.
- README: install yt-dlp + ffmpeg, how to export Netscape cookies, and a blunt note that
  YouTube blocks many datacenter IPs so a home machine or cookies may be required.
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What you lose

  • Hosted infrastructure and managed operations from AudioFetcher
  • The original service's mature integrations and ecosystem
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Questions

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