Gamekeeper – Discord bot for on-demand Hetzner dedicated game servers

Hacker News

I wanted me and my friends to have an Enshrouded dedicated game server, but I didn't want to pay $35+ per month for it. We only tend to play a few days a week for a few hours, so I built a Discord bot that allows us to spin up the server on-demand. It runs until everyone leaves it and then auto-stops after 15 minutes. It's built on top of Hetzner - it snapshots the full server state and deletes it on stop, then recreates it from the snapshot when needed. The setup is a bit slow, but pretty simple and cost-effective. Disclaimer: I mostly vibe coded it with Claude, but it's simple enough for it not to be a big concern IMO.

Visit product View on Hacker NewsMar 28, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, code · Missing: mac, agents, macos

50%50% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

44%44% 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 · Missing: https docs, excited, just released

40%40% 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 · Missing: plus, platform, intuitive

31%31% 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

18%18% 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.

Correct prediction on native model

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