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Jenkins-fire-CLI A Jenkins command line tool built with Python-fire
Hacker NewsJenkins-fire-CLI A Jenkins command line tool built with Python-fire
Jenkins community has provided the offical jenkins-cli.jar but it is not very intuitive to use. So I just create a tiny wrapper for it to make it less noisy by dowlonading the jar packages and injecting user credential automatically. Thanks to the google fire library creating a command line tools nowadays is incredibly simple.
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Product HuntOn track for Day 1 leaderboard · Strong signals: google, user, tiny · Missing: mac, agents, macos79%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.
AppSumoStrong fit for a featured deal · Strong signals: intuitive · Missing: plus, platform, reviews78%78% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released49%49% 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 · Strong signals: google · Missing: mobile apps, ios, personal47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue15%15% 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, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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