Cross-Platform GitHub Action

Hacker News

I've created a GitHub Action for running commands on multiple platforms. This includes platforms that GitHub Actions don't natively support. It currently supports FreeBSD, OpenBSD and NetBSD. OpenBSD can run on x86-64 and ARM64, the other operating systems run on x86-64. Some of the features that are supported include: * Multiple operating system with one single action * Multiple versions of each operating system * Allows to use default shell or Bash shell * Low boot overhead * Fast execution * Runs on both macOS and Linux runners Compared to similar solutions like https://github.com/vmactions/freebsd-vm , the boot time is around a fifth and the full execution time for the same job is around half of freebsd-vm (last time I tried). The readme contains more information about how it all works under the hood.

Visit product View on Hacker NewsJan 16, 2023

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

85%85% 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: mac, macos, single · Missing: agents, agent, cursor

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

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

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

nativeThis product was originally launched on this platform.

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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

13%13% 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.

Correct prediction on native model

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