Uploaded November 2025 | Updated September 2026, 1 week ago
Checkout coiled here
fandf.co/4nEySVl
It's a lightweight cloud compute platform built specifically for Python data engineers and data scientists.
Here's what makes it special:
1. No Infrastructure Management
You don't touch Docker. You don't touch Kubernetes. You don't even think about them.
2. One-Line Scaling
Your code looks almost identical to local code. You literally add one decorator or one line, and suddenly you're running on hundreds of cloud machines.
3. Works with Your Existing Tools
Keep using pandas, numpy, scikit-learn, PyTorch - whatever you're already using. Keep using Jupyter, VSCode, or PyCharm. Nothing changes.
4. Pay Only for What You Use
The machines spin up when your job starts and shut down immediately when it's done. No idle costs. A 5-minute job on 100 machines might cost you just a couple of dollars.
5. Automatic Environment Sync
Your local packages, your credentials, even your local files - all automatically synced to the cloud. No Docker builds, no environment.yml nightmares.
Checkout coiled here
fandf.co/4nEySVl
It's a lightweight cloud compute platform built specifically for Python data engineers and data scientists.
Here's what makes it special:
1. No Infrastructure Management
You don't touch Docker. You don't touch Kubernetes. You don't even think about them.
2. One-Line Scaling
Your code looks almost identical to local code. You literally add one decorator or one line, and suddenly you're running on hundreds of cloud machines.
3. Works with Your Existing Tools
Keep using pandas, numpy, scikit-learn, PyTorch - whatever you're already using. Keep using Jupyter, VSCode, or PyCharm. Nothing changes.
4. Pay Only for What You Use
The machines spin up when your job starts and shut down immediately when it's done. No idle costs. A 5-minute job on 100 machines might cost you just a couple of dollars.
5. Automatic Environment Sync
Your local packages, your credentials, even your local files - all automatically synced to the cloud. No Docker builds, no environment.yml nightmares.
