This product was either taken down by Product Hunt or deleted. It will be kept for historical purposes.
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Cloud World Model
Simulate AWS, GCP & DigitalOcean without paying the bill
Simulate AWS, GCP, Azure, OCI & DigitalOcean architectures to predict cost, performance, and resilience without provisioning real resources or paying a cloud bill. Built for learners practicing cloud skills and AI agents training on cloud optimization.
Hi everyone! I'm Kevin Brown, one of the makers of Cloud World Model.
Cloud World Model lets you model AWS, GCP, Azure, OCI, and DigitalOcean architectures and instantly see how they behave CPU, error rates, throughput, autoscaling, failure recovery, and cost without provisioning a single real resource.
A few things we're proud of:
A capacity-aware engine that models real per-provider performance profiles
Chaos engineering: inject zone outages, DB crashes, and network partitions, then get a resilience score
A multi-cloud explorer that compares provider combos on cost, latency, and vendor lock-in
A full RL training API so AI agents can learn cloud optimization in a safe, cost-free environment
Beginner mode with plain-English AI explanations and an interactive tutorial
Whether you're learning cloud skills or training agents to optimize infrastructure, I'd like to hear any of the following in the comments?
How do you typically test cloud architecture changes before putting them in production or any environment?
Do you think a mechanism to be able simulate a cloud architecture change would be useful?
Any experiences with cloud cost comparisons?
About Cloud World Model on Product Hunt
“Simulate AWS, GCP & DigitalOcean without paying the bill”
Cloud World Model launched on Product Hunt on June 27th, 2026 and earned 0 upvotes and 8 comments, placing #49 on the daily leaderboard. Simulate AWS, GCP, Azure, OCI & DigitalOcean architectures to predict cost, performance, and resilience without provisioning real resources or paying a cloud bill. Built for learners practicing cloud skills and AI agents training on cloud optimization.
On the analytics side, Cloud World Model competes within Software Engineering, Developer Tools and Development — topics that collectively have 563.3k followers on Product Hunt. The dashboard above tracks how Cloud World Model performed against the three products that launched closest to it on the same day.
Who hunted Cloud World Model?
Cloud World Model was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Cloud World Model including community comment highlights and product details, visit the product overview.
fmerian
Hi everyone! I'm Kevin Brown, one of the makers of Cloud World Model.
Cloud World Model lets you model AWS, GCP, Azure, OCI, and DigitalOcean architectures and instantly see how they behave CPU, error rates, throughput, autoscaling, failure recovery, and cost without provisioning a single real resource.
A few things we're proud of:
A capacity-aware engine that models real per-provider performance profiles
Chaos engineering: inject zone outages, DB crashes, and network partitions, then get a resilience score
A multi-cloud explorer that compares provider combos on cost, latency, and vendor lock-in
A full RL training API so AI agents can learn cloud optimization in a safe, cost-free environment
Beginner mode with plain-English AI explanations and an interactive tutorial
Whether you're learning cloud skills or training agents to optimize infrastructure, I'd like to hear any of the following in the comments?
How do you typically test cloud architecture changes before putting them in production or any environment?
Do you think a mechanism to be able simulate a cloud architecture change would be useful?
Any experiences with cloud cost comparisons?