AI-clean – strip unwanted formatting from text copied out of AI CLIs

Hacker News

I kept manually reformatting wrapped paragraphs and trailing whitespace every time I pasted Claude Code or Copilot CLI output into a Slack message or a GitHub issue. So I built a terminal command to run after copying that does the reformatting for me. Running in a terminal instead of using one of the browser-based formatting tools means less context switching. It handles both regular text, bulleted lists and code formatting all at the same time. Source: https://github.com/TheAndruu/ai-clean The page above runs the same Go pipeline compiled to WebAssembly — paste your own messy clipboard contents, no install needed. If you want to install it, there is homebrew and one-line install commands.

Visit product View on Hacker NewsApr 28, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, slack, context · Missing: mac, agents, macos

90%90% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting

38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: pipe · Missing: https docs, excited, just released

29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal

28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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