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Hetzner-k3s v1.0.1 is out with autoscaling support
Hacker NewsHetzner-k3s v1.0.1 is out with autoscaling support
This is the newest update to my CLI tool to quickly create cheap Kubernetes clusters in Hetzner Cloud. This update adds autoscaling support, so clusters created with this tool now can behave similar to managed Kubernetes clusters, which I think is awesome. I received a lot of feedback since the last update so I hope anyone interested could try the new version as well. Thanks a lot for the feedback so far! The repo: https://github.com/vitobotta/hetzner-k3s
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AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released46%46% 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, personal42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting28%28% 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, revenue14%14% 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.
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