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KVMPods – Run Docker Compose Apps in Your Own KVM Virtual Machine

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KVMPods – Run Docker Compose Apps in Your Own KVM Virtual Machine

KVMPods ( https://kvmpods.com ) gives you a KVM virtual machine where you can run multiple Docker Compose apps with full feature support and no resource sharing with other users. Key features: - Your own KVM virtual machine - Run multiple Docker Compose apps - Full Docker Compose feature support - NVMe storage - x86 and ARM support - Starts at €10/month Just paste your compose file and deploy: ```yaml services: app: image: wordpress:latest ports: - "8080:80" volumes: - wp_data:/var/www/html db: image: mariadb:latest volumes: - db_data:/var/lib/mysql volumes: wp_data: db_data: ``` No CLI tools, no restrictions - just Docker Compose as it should be.

Visit productView on Hacker NewsNov 22, 2024
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Strong signals: apps, month, users · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: mac, apps, user · Missing: agents, macos, agent
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, 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
24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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