Loripsum – Homebrew command for generating Lorem Ipsum HTML

Hacker News

Hey HackerNews community, I came across this a couple of times when bootstrapping new projects where I needed some Lorem Ipsum text, and always had to rely on going to one of the known websites that do this. After reading Paweł Dąbrowski's "Create command line application with Ruby available via Homebrew" article (https://longliveruby.com/articles/ruby-command-line-application-homebrew), I had the idea of creating a simple Ruby command that can be installed via Homebrew so I can use it in my IDE whenever I need Lorem Ipsum text. I decided to make it open-source as I always wanted to contribute to the community and I feel this is a good start. It's my first open-source project. The code can be found here: https://github.com/raulpopadineti/homebrew-loripsum Let me know your thoughts. Kindly, Raul

Visit product View on Hacker NewsNov 9, 2020

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

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

42%42% 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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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