Helm Dashboard for Kubernetes

Hacker News

Github Link: https://github.com/devtron-labs/helm-ui Helm is one of the most adopted package managers for deploying applications to Kubernetes. The intuitive Helm Dashboard offers a UI-driven approach for managing the lifecycle of Helm Applications, abstracting out all the complexities and challenges. Through the dashboard, one can: 1. Manage community and custom helm charts 2. See manifest diff of past revisions 3. Easily rollback or upgrade between different versions 4. Seamlessly integrate and deploy various charts using Chart Groups

Visit product View on Hacker NewsDec 13, 2022

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

54%54% 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

50%50% 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 · Strong signals: intuitive · Missing: plus, platform, reviews

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

35%35% 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, podcasting

30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

22%22% predicted probability of success on BetaList, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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