Jack – a simple cross-platform CLI Multi-Tool for dev productivity

Hacker News

Hi HN, I'm Gjorgji, and I built a tool called Jack. It's a small CLI that brings together a handful of terminal helpers (JSON formatting, UUID/QR generation, JWT inspection, etc.) into one cross-platform binary so you don't have to open random web tools for tiny tasks anymore. I kept finding myself jumping between browser tools or different CLI utilities for trivial jobs and it felt slow and fragmented. Jack is my attempt to centralize those tiny helpers into one intuitive place. I wrote more about my motivations here: https://www.dimeski.net/blog/why-i-made-jack You can find the source, contribute and file issues on GitHub: https://github.com/dimeskigj/jack-cli I'd love to hear feedback! Especially on use cases I haven't covered yet or ideas on how to make it more useful. Thanks!

Visit product View on Hacker NewsJan 29, 2026

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

68%68% predicted probability of success on AppSumo, 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 · Missing: supports, reddit linkedin, podcasting

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: tiny, tasks, open · Missing: mac, agents, macos

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

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

41%41% predicted probability of success on TrustMRR, 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 · 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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