37 pointsby haron18 days ago5 comments
  • augusteo12 days ago
    The framing as "bash pipes" is slightly misleading since jq and an LLM do the heavy lifting. But I don't think that's the point.

    What I like is the philosophy: use an LLM as a personal filter based on a plain-text description of your interests. No training a recommendation algorithm on engagement signals. No black-box "for you" feed. Just "here's what I care about, show me relevant stuff." The pattern of "LLM as personal curator" seems underexplored.

    • dmead12 days ago
      I had a design sketched out that would do sentiment analysis on each post in your social media feeds. It would then take action to hide or outright delete stuff based on your configuration.

      It would probably work as a browser plugin, but I didn't have a real solution for rewriting whats on say the reddit or Twitter phone apps.

      Probably pretty easy to vibe code up such a thing now.

  • haron18 days ago
    To be honest, it's jq and feedparser that are doing the heavy lifting, plus bat and pandoc for formatting.
  • gaigalas13 days ago
    Is this rage bait for shell script people?
  • crtasm13 days ago
    Why have the LLM prompt in a github gist rather than in the script or a file beside it?
  • giuliomagnifico18 days ago
    404 check the url