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Misterio the Docker-compose stateless alternative to Ansible

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Misterio the Docker-compose stateless alternative to Ansible

Hi HN! I have rewritten a tiny tool I used to manage my home lab of docker servers. Misterio is a very thin python script on top on docker compose. It leverage docker client-server architecture to provide you a set of "stacks" of roles you can apply to one or more hosts. It use a small folder structure which loosly resembles Ansilbe/Saltstack. It works great for stateless services. It do not aim to be as powerful as k8s, but on my home lab it was a very good balance between resource usage and advantages. Give it a spin and let me know what do you think! Originally written in bash, I was able to rewrite it in python using jus the click library and keep it very simple: https://pypi.org/project/misterio/0.1.1/

Visit productView on Hacker NewsAug 24, 2025
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
63%63% 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.
Product HuntUnlikely to reach the leaderboard · Strong signals: dock, tiny, using · Missing: mac, agents, macos
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
25%25% 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
10%10% 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.

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