Ru

Running nested X11 dwm sessions

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Running nested X11 dwm sessions

I have been using Xephyr and dwm for a while in a nested X11 session, and I grew sick and tired of having all the weird aliases in my bashrc and decided to make a little project that handles this for me in a nicer way. It's not really an ideal situation, but I do like having Gnome around with all its niceties it brings. A lot of this stuff could be achieved with tmux for sure. I'm not arguing that. I use tmux extensively as well. But since I've been using dwm for a long time, this kind of marries the best of both world for me. Maybe this would vibe with some of you. https://github.com/mitjafelicijan/clutch Thanks for any feedback or comments. Cheers

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Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
79%79% 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
65%65% 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.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
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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