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date, likeOf, category, aiTextLevel, syndication, updated, mpUrl, permalink
| date | likeOf | category | aiTextLevel | syndication | updated | mpUrl | permalink | |
|---|---|---|---|---|---|---|---|---|
| 2026-04-01T15:36:59.815Z | https://alex000kim.com/posts/2026-03-31-claude-code-source-leak | dev | 0 |
|
2026-04-01T15:38:26.153Z | https://blog.giersig.eu/likes/c0997/ | /likes/c0997/ |
userPromptKeywords.ts contains a regex pattern that detects user frustration:
/\b(wtf|wth|ffs|omfg|shit(ty|tiest)?|dumbass|horrible|awful|
piss(ed|ing)? off|piece of (shit|crap|junk)|what the (fuck|hell)|
fucking? (broken|useless|terrible|awful|horrible)|fuck you|
screw (this|you)|so frustrating|this sucks|damn it)\b/
An LLM company using regexes for sentiment analysis is peak irony, but also: a regex is faster and cheaper than an LLM inference call just to check if someone is swearing at your tool.