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GoManageDocker v1.4 release "Bob the builder "

Hacker News

GoManageDocker v1.4 release "Bob the builder "

Greetings everyone, The docker TUI tool I've been working on for the past 2 months has hit v1.4 . TLDR: goManageDocker is a TUI docker management tool that is focused on speed and efficiency (it has VIM bindings ). I've added the following features: - Build images using Dockerfiles - Inspect live logs from a container by pressing `L` - Bulk Select multiple objects and perform an operation at once (this once saves a lot of time) - Run Image now takes args like image name, port mappings, and env vars Other QOL improvements include: - Tab-specific notification system that gives realtime feedback on the operation performed. - Almost all operations are now performed asynchronously. The TUI can even be run using docker without installing anything if you want to try it out! Instructions in GitHub readme. Feel free to check it and ask any questions!

Visit productView on Hacker NewsAug 18, 2024
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Product HuntOn track for Day 1 leaderboard · Strong signals: dock, using · Missing: mac, agents, macos
82%82% 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 · Missing: supports, reddit linkedin, podcasting
58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
39%39% 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: builder · Missing: plus, platform, intuitive
38%38% 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
12%12% 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.

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