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?
this is going to be a massive hit if you could support the official sdk for each cloud. I'm currently using the go-sdk for AWS and GCP to interact with the underlying api, but if we can have a drop in replacement (similar to localstack) and then it's gonna be disruptive. hope to see this implement soon.
This is highly relevant for developers trying to architecture and test multi-cloud environments without burning budget early on. How accurate is the simulation when replicating complex networking constraints or IAM policies between AWS and GCP? Great launch!
the cost simulation is the part i need most. i blew $400 on an RDS instance i spun up for "testing" and forgot about for 11 days. nobody warned me.
how granular does the cost projection go? if i model a 3-tier app does it tell me i'm about to pay for an over-provisioned NAT gateway, or just give me a total bill estimate?
the value of cost tools breaks for me at the line item level. that's where i actually make decisions.
The chaos engineering part caught my eye, injecting a DB crash and getting a resilience score back seems really useful for catching weak spots before prod. Curious how close the cost estimates land to a real AWS bill in practice. Congrats on shipping!
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 12 comments, placing #101 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.
Cloud World Model was featured in Software Engineering (42.6k followers), Developer Tools (514.7k followers) and Development (6k followers) on Product Hunt. Together, these topics include over 83.9k products, making this a competitive space to launch in.
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.
Want to see how Cloud World Model stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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?