Zetken CI/CD Studio

Hacker News

Zetken CI/CD Studio

Hello everyone, Please let me introduce the system, it's called Zetken CI/CD Studio. This is local CI/CD system to create and run pipelines on your computer. The system works on Windows, Linux and macOS. This is a standalone binary file with no CI server to configure, just download, run and open in browser. You can also migrate your existing pipelines from GitHub Actions, Azure DevOps and Jenkins. It would be awesome if you could check it and give me some feedback. Zetken currently provides these features: Local pipeline execution Native Zetken YAML Pipeline validation Run history and detailed logs Artifacts Build-linked source snapshots and comparison Runtime parameters Environment variables and environment files Secret masking Job dependencies with needs Parallel jobs Matrix jobs Cache restore/save hashFiles() Artifact downloads between dependent jobs Docker image build steps Migration Assistant for supported GitHub Actions, Azure DevOps, and Jenkins Declarative pipelines Zetken currently executes pipeline commands on the same machine where zci is running. There are no remote Zetken runner pools yet.

Visit product View on Hacker NewsAug 27, 2026

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Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

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

84%84% 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 HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting

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

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

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

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

34%34% 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

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

21%21% 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

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

Correct prediction on native model

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