Vi
Visual studio for cloud
Hacker NewsVisual studio for cloud
Hi HN, I'm Julia. ICE (beta) is an open-source integrated cloud environment for multi-cloud infrastructure. I also call it Visual IDE but for cloud or Figma for cloud. Main features: - Multi-cloud project management - Cloud blocks and templates - AI assistant - Cost estimation - GitHub integration Providers: - Google Cloud — stable(ish) - AWS — in progress - Azure, IBM a others... — planned Feedback is welcome!
Share cardActual performance
5points
3comments
Did not reach leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: google, visual, project management · Missing: mac, agents, macos85%85% 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, podcasting56%56% predicted probability of success on Indie Hackers, 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 released44%44% 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: google · Missing: mobile apps, ios, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive40%40% 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, revenue18%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, crypto17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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