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I built a platform to deploy open-source Docker containers without code

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I built a platform to deploy open-source Docker containers without code

I thought it'd be nice if my friends and elders can run Docker containers as easy as using Facebook. The idea is for them to fill in some details, click Deploy Now, and the app should be live in a few secs. https://www.casadila.com Video introduction: https://youtu.be/RYLZsBI3Wus Video example of how a Hello World app is deployed: https://youtu.be/6TEAFajMxus Step by step guide to running a WordPress instance: https://www.casadila.com/docs/how-to-set-up-wordpress I've just opened this up for beta testing. What's your thoughts? Is this something you might use? What features would you like to see?

Visit productView on Hacker NewsMay 27, 2021
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: dock, using, code · Missing: mac, agents, macos
84%84% 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
74%74% 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
72%72% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
39%39% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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