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Glasskube – The new Kubernetes Package Manager is now in Beta

Hacker News

Glasskube – The new Kubernetes Package Manager is now in Beta

Hey there! We are excited to introduce the Beta version of Glasskube, the Open Source next generation Package Manager for Kubernetes. If you're familiar with working in a Kubernetes environment, you understand the challenges of managing third-party packages crucial for running your clusters and the applications within them. Current installation methods often lack simple package configuration, are difficult to upgrade, and don't support multi-namespace dependencies. We're eager to get Glasskube into your hands and hear your thoughts. The best way to get started is by visiting our GitHub repository where you'll find all the information you need to dive in quickly. We're also super thankful for any feedback you can provide in the comments below.

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, open · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, open source, ide · Missing: https docs, just released, exist
72%72% 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: way · Missing: mobile apps, ios, personal
45%45% 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
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: started · Missing: supports, reddit linkedin, podcasting
37%37% 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, 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 · Strong signals: introduce · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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