Subspace Network Mining Guide

Explore the innovative Subspace Network, an NVME/SSD minable network in its Testnet phase. This guide will help you set up a farmer node to earn testnet rewards by utilizing your spare disk space. The setup process is simple, requires no costly equipment or significant upfront investment, and is designed to run smoothly in the background of your computer.

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Learn About Subspace Network: Get acquainted with the project’s goals and specifics by visiting their FAQ section. or reading my project review.

Minimum Hardware Requirements:

• Suitable for any consumer-level computer.
• If your system can handle gaming or streaming Netflix, it’s likely equipped to run a farmer node.
• Supports Linux, Windows, and macOS.

You’ll need:

• 4 dedicated CPU cores.
• 8GB of RAM.
• 100GB of hard drive space.

Getting Started:

1. Set Up Your Wallet: Subspace is compatible with the default Substrate wallet in Polkadot-JS apps and the Polkadot-JS extension. Use these for transactions on the test network. Wallet setup details are available here.
2. Install Microsoft Visual C++ Redistributable: Download it from Microsoft’s official page.
3. Download the Farming App: Access the easiest farming app for Windows users at Space Acres on GitHub.
4. After installation, decide your disk capacity allocation and set the folders for both node and farm ensuring you have an additional 100GB of space available, then start mining to your NVME or SSD.

Note: For detailed Windows PowerShell methods, check the project’s documentation.

Tips and Recommendations:

• NVME drives are recommended for faster processing.
• Be prepared for heavy load on your hard drive, as the farmer will rewrite data frequently.
• Currently in Phase 3 of the Incentivized Testnet (Gemini 3), which may yield coins for the Mainnet.

Safety Warning:

• Exercise caution: Download project files to a test PC or older hardware without personal information. As this is a testnet, it may contain bugs and potential security vulnerabilities. Stay safe and protect your personal data.

This guide is for Windows users. For Mac and Linux, please refer to the official project documentation.