Show HN: Workaround – Unstar GitHub Repos in Bulk

A cleanup tool for your GitHub likes sparks instant "who asked for this?" energy

TLDR: A new tool wants to help people bulk-remove old GitHub stars and use AI to judge which saved projects are still worth keeping. Commenters instantly turned it into a debate over whether this is useful digital cleanup or a bizarre solution to a problem nobody has.

A tiny Show HN project about cleaning up old GitHub stars somehow turned into a mini identity crisis for the internet. The tool, called Workaround, promises to help people mass-unstar old saved coding projects and even uses AI to suggest what’s still worth keeping. In plain English: it’s like finally cleaning out a closet full of internet bookmarks you forgot you had. The page shows old favorites, archived projects, and a big invitation to connect your GitHub account and start deleting.

But the real fireworks came from the peanut gallery. One commenter immediately went for the trust issue, asking, how exactly are “bad” repos being classified? That’s the kind of question that turns a simple decluttering app into a full-blown debate about whether a robot should judge your digital taste. Another commenter delivered the blunt, ice-cold dagger: “Such a weird project. Does the world really need this?” Ouch. That set the mood fast: half side-eye, half fascinated disbelief.

The comedy here writes itself. This is basically a Marie Kondo app for code bookmarks, except the crowd can’t decide whether it’s genius, pointless, or slightly insulting. Does an old starred project no longer “spark joy”? Should AI tell you your past self had bad taste? That’s the vibe. The app may be about deleting stars, but the comments are about something bigger: who gets to decide what’s worth keeping online — you, or the machine?

Key Points

  • Workaround is presented as a tool for reviewing and bulk-unstarring GitHub repositories.
  • The interface shows a user with 374 starred repositories, including 4 flagged items.
  • Users can filter repositories instantly or use an AI prompt to describe a repo and get assistance.
  • The preview displays repository metadata such as archive/deprecation status, language, star count, push recency, and starred date.
  • The page asks users to connect GitHub and highlights AI review, saved verdicts, and bulk cleanup as core features.

Hottest takes

"bad" repos — gus_massa
"Such a weird project" — electroglyph
"Does the world really need this?" — electroglyph
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