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A tiny utility to rewrite Bash functions as standalone scripts

Hacker News

A tiny utility to rewrite Bash functions as standalone scripts

Over the last few months I've tinkered with some command-line scripts that fix my bad habit of writing one-off Bash functions, not doing anything to keep them around, and then regretting the loss. The README explains the essentials, but for more context (and the full "behind-the-scenes" of why I did this) I also did a blog write-up: https://zahlman.github.io/posts/meta-automation/ . Overall it seems like way more framing effort than a few dozen lines of Bash really deserve; but it was fun and I've found all of it surprisingly useful.

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: context, tiny, plain · Missing: mac, agents, macos
59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, way · Missing: mobile apps, ios, personal
49%49% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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