Show HN: Take a Break with the 'Oh My Zsh' Haiku Chat-GPT Plugin

Hacker News

We all know how it goes - long hours at the computer, deadlines, stress... - it's easy to neglect taking care of ourselves. We all know how it goes - long hours spent in front of the computer, tight deadlines, and high levels of stress. It's easy to neglect taking care of ourselves. This simple and humble Oh My Zsh Haiku plugin is here to remind us to take a break and prioritize self-care. Using chat-gpt, it generates a little haiku promoting work-life balance and displays it on stdout once a day if the terminal has been open for more than three hours.

Visit product View on Hacker NewsMar 28, 2023

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: computer, using, open · Missing: mac, agents, macos

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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