Most Cloudflare tutorials stop at Hello World. Cloudflare Experiments is an open-source collection of 60+ production-style Workers - AI summarization, screenshots, D1, R2, Queues, Cron, Browser Rendering, and more. Each one is focused, tested, documented, and deployable in minutes with a click.
Hey Product Hunt 👋
I built Cloudflare Experiments because I kept hitting the same wall: Cloudflare docs explain what each product does, but it's hard to find a complete, deployable example for your use case.
So I started collecting patterns - one Worker per capability - until it became a monorepo with 60+ experiments, full docs, and tests.
How to get started in 2 minutes:
1. Browse https://cloudflare-experiments.com
2. Pick something like AI Website Summary or Screenshot API
3. Hit Deploy - or clone and run: npm run dev -- --filter=ai-website-summary
Everything is MIT licensed. I'd love to hear which experiment you'd use first - or what's missing from the catalog.
Happy to answer questions about Workers AI, D1, Browser Rendering, or how the repo is structured. 🚀
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finally a Cloudflare repo that goes past hello world. The D1 and R2 examples were easy to spin up and actually feel close to something I'd ship, not just toy snippets.
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The fact that each experiment ships tested and documented right out of the gate is such a nice touch - most "starter repos" force you to dig through half-finished code and stale READMEs. This one actually feels like a learning track someone cared about.
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The one-click deploy for each experiment is a really thoughtful touch, removes all that friction of wiring up wrangler and secrets just to poke at a sample. Nice that they include the less flashy stuff like Queues and Cron too, not just the headline AI demos.
npmpackage.info
finally a Cloudflare repo that goes past hello world. The D1 and R2 examples were easy to spin up and actually feel close to something I'd ship, not just toy snippets.
The fact that each experiment ships tested and documented right out of the gate is such a nice touch - most "starter repos" force you to dig through half-finished code and stale READMEs. This one actually feels like a learning track someone cared about.
The one-click deploy for each experiment is a really thoughtful touch, removes all that friction of wiring up wrangler and secrets just to poke at a sample. Nice that they include the less flashy stuff like Queues and Cron too, not just the headline AI demos.