Muxforge Tmux Plugin Manager

Hacker News

Muxforge is a single Go binary that manages tmux plugins the way you'd expect in 2026. No need to fiddle with adding the plugin the tmux.conf and then installing. You can manage plugins directly with muxforge. Lock file for reproducibility, one-command migration from TPM, and a managed block in your tmux.conf that keeps plugin declarations clean without touching the rest of your config. Works with stow and dotfile managers, the lock file is designed to live in version control. MIT licensed. Would love the feedback. https://muxforge.dev

Visit product View on Hacker NewsApr 21, 2026

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4points

Did not reach leaderboard

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

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

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: single · Missing: mac, agents, macos

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

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

30%30% 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

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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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