TL;DW: Too Long; Didn't Watch Distill YouTube Videos to the Relevant Information

Original Article ↗ Hacker News Discussion ↗

Use cases & motivations

  • Many commenters want to strip long YouTube videos down to their core 1–2 minutes of actual information, especially for creators who repeat themselves, pad runtime, or produce “rage bait.”
  • Some hope tools like this let them access content they’re interested in (e.g. creators with annoying speaking styles) without sitting through the full video.
  • Others mainly want a quick “should I watch this at all?” gist, similar to skimming a book’s table of contents.

Limitations & quality of summaries

  • The “Too long video” limit (around 1+ hours) is widely criticized as ironic and undermining the tool’s purpose.
  • Results are mixed: straightforward, focused videos are summarized well; complex essays with multiple arguments or nuanced blame often get oversimplified or distorted.
  • Some users note repetition and generic phrasing in summaries, and that text summarization in general can miss key points or invert meanings.
  • Reliance on YouTube transcripts means quality degrades when auto-captions are poor.

Comparisons to other tools & DIY workflows

  • Several compare it unfavorably to Kagi’s summarizer, YouTube’s own AI summaries, Gemini, and direct ChatGPT/GPT‑4o prompts (often with custom instructions and formats).
  • Other services mentioned: Scribe, Eightify, Video Gist, videosummarizerai.com, mobile apps, and custom shortcuts that pull transcripts and send them to an LLM.
  • A recurring view: it’s often simpler to paste a transcript or URL into a general-purpose LLM than to remember specialized sites.

YouTube incentives, fluff & viewer coping strategies

  • Many blame YouTube’s monetization and watch‑time incentives for bloated 20–30 minute videos and mid‑roll ad–friendly runtimes.
  • Others argue the algorithm is personalized and evolving, with shorts and very long podcasts coexisting, and a “missing middle” of concise 90s–7min answers.
  • Common coping stack: SponsorBlock (including “filler” and “highlight” segments), DeArrow (de‑clickbaiting titles/thumbnails), speed changers, uBlock, and transcript reading.

Feature requests & enhancements

  • Requested features:
    • Bullet‑point and sectioned outputs, with timestamps linking back to specific segments.
    • Better video titles/thumbnails (or integration with tools like DeArrow).
    • Actual video editing: cut talking heads/stock footage, keep novel visuals, speed up narration.
    • Support for arbitrary-length videos and “bring your own API key” (OpenRouter/Ollama).

Meta: summarization culture & media preferences

  • Some worry about an “infinite summarization” culture (summaries of summaries) and argue that presentation, narrative, and visuals matter as much as raw information density.
  • Others say video is intrusive; text lets them skim at their own pace, making a textual summary strictly better when they just want information.
  • Philosophical side threads debate books vs YouTube, clickbait versus quality, and whether optimizing away all “wasted time” is even desirable.

Author’s implementation notes (from thread)

  • The service is open source, uses YouTube’s provided transcripts only (no own speech recognition), calls an OpenAI-compatible API, and currently proxies requests from the US using residential bandwidth.
  • Operational costs are claimed to be low; the author intends to keep it free and invites contributions and alternative LLM backends via configurable base URLs.