CLI Tool for GitHub Actions Artifacts in GitHub Actions CI Workflows

Hacker News

GitHub Artifacts are the recommended way to share files between jobs in a single workflow, as explained in the GitHub Actions documentation. If you are looking for an alternative to YAML for sharing build artifacts in GitHub Actions, this is for you. It can upload from stdin and download to stdout, enabling the use of "docker save" and "docker load" for Docker image sharing in a CI pipeline. Docker image uploads reach up to 199 MiB/s, and Docker image restoration reaches up to 100 MiB/s (including restoration to the local Docker repository).

Visit product View on Hacker NewsOct 22, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: dock, single, plain · Missing: mac, agents, macos

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

best fitHighest predicted score across all platforms for this description.

Indie HackersIH features products with proven revenue · Strong signals: including · Missing: supports, reddit linkedin, podcasting

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

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

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

33%33% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

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