Launching today
Cloud World Model
Simulate AWS, GCP & DigitalOcean without paying the bill
69 followers
Simulate AWS, GCP & DigitalOcean without paying the bill
69 followers
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.
Products used by Cloud World Model
Explore the tech stack and tools that power Cloud World Model. See what products Cloud World Model uses for development, design, marketing, analytics, and more.
Data analysis tools 1
Data analysis tools 1
PostHogLiterally every piece of SaaS that a product engineer needs
5.0 (230 reviews)
PostHog does everything in one place - analytics, session recordings,
feature flags, and funnels - without stitching together separate tools.
For Cloud World Model, that meant tracking the full conversion journey
from landing page click to first simulation run to paid upgrade, all
in a single saved funnel. We also use it for weekly automated checks
that fire PostHog events when pricing or accuracy data drifts - so
the dashboard doubles as an operational health monitor, not just a
growth tool. Being open-source and self-hostable made it an easy
default for a developer-focused product.
LLMs 1
LLMs 1
OpenAIAPIs and tools for building AI products
5.0 (775 reviews)
GPT-5 is the engine behind every AI feature in Cloud World Model -
bottleneck analysis, autoscaling explanations, architecture
optimization suggestions, and beginner mode (which rewrites
technical output into plain English). The quality of reasoning
matters here: users trust these explanations to make real
infrastructure decisions. GPT-5 consistently gives specific,
actionable answers rather than generic advice, and the structured
output reliability made it straightforward to integrate into a
simulation pipeline where the AI response has to parse cleanly
every time.
General 1
General 1
ReplitIdea to app, fast.
4.5 (49 reviews)
Replit is the only platform where an AI agent can build, run, test,
and deploy a full-stack app end-to-end without ever leaving the
environment. Cloud World Model went from idea to production entirely
inside Replit: the backend, the React frontend, the database, the
TypeScript SDK, the Chrome extension, the MCP server, the OpenAPI
spec, the CI checks, all of it. No local setup, no context-switching
between tools, no deployment pipeline to wire up separately. The
agent just builds, the checks run, and it ships. That tight loop is
what made this possible.