Purl – A Simple Tool for Text Processing

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Hello HN community, I'm excited to share a new command-line tool I developed called purl, inspired by the simplicity of Perl one-liners for efficient text processing. Purl features include Perl-like regex that simplifies text manipulation, it's cross-platform so works equally well on macOS, Linux, etc., and it's quick and easy to install. The tool also supports simple commands such as -replace, -filter, and -exclude, and offers optional color output to enhance readability. Purl is a practical alternative to traditional tools like sed and grep, designed to address some of their common limitations. For more information and to try purl yourself, visit: https://github.com/catatsuy/purl I appreciate any feedback!

Visit product View on Hacker NewsApr 13, 2024

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

84%84% 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.

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

68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: platform, efficient · Missing: plus, intuitive, reviews

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

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

52%52% 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

24%24% 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

10%10% 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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