Jv – A fast CLI tool to switch Java versions on Windows

Hacker News

I've built jv ( https://github.com/CostaBrosky/jv ), a simple and fast command-line tool designed specifically to switch Java versions on Windows with a single command. Unlike manually editing environment variables or relying on complex batch scripts, jv provides a streamlined experience. It permanently modifies JAVA_HOME and PATH system-wide (requiring admin privileges for these commands), ensuring the change is picked up by all applications, including IDEs. Key features include: Beautiful Interactive UI: Navigate and select versions using arrow keys. One-Command Switching: jv use 17 or jv switch for interactive mode. Auto-Detection: Finds existing Java installations (Oracle, Adoptium, Zulu, etc.). Integrated Installer: Easily install new Java versions (currently Adoptium) via jv install. Diagnostics & Repair: jv doctor and jv repair help manage your environment. Shell Autocomplete: Tab completion for PowerShell. Zero Dependencies: Standalone Go executable. While tools like sdkman exist for Unix-like systems, there wasn't a similarly focused and user-friendly solution for Windows. jv aims to fill that gap. Feedback and contributions are welcome!

Visit product View on Hacker NewsOct 30, 2025

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: friendly · Missing: plus, platform, intuitive

62%62% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

53%53% 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, personal

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr, active · Missing: mrr, revenue, profit

8%8% 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, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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