1. Get started
Welcome to Masa Bittensor Subnet 42
Welcome to Subnet 42! 🚀
You’ve completed the initial setup in the Get Started (Pre-requisites) section—great job! Now, you’re ready to dive into Subnet 42, Masa’s specialized Bittensor subnet for real-time data scraping and validation.
What’s Next? Your journey in Subnet 42
Understand Your Role
Set Up a Protocol Node
Deploy your node to start scraping or validating data
Earn Rewards
Compete for TAO rewards by contributing to Subnet 42
What is Subnet 42?
Masa Subnet 42 is a Bittensor subnet that allows you to scrape data from the X (Twitter) network and compete for TAO rewards while driving innovation within the Bittensor network.
- Real-time Data: Provides high-quality, real-time data for AI development and machine learning applications
- Powers Subnet 59: Powers Subnet 59’s Agent Arena, enabling AI agents to evolve and compete in a dynamic environment
- Fair Rewards: Incentivizes miners and validators through a sophisticated kurtosis reward curve for fair compensation
- Quality Assurance: Ensures data quality and reliability through a distributed validation network
- Low Latency: Maintains low latency for real-time data processing and delivery
How it works
- Data Scraping: Miners use the Masa SDK to extract trending tweets from X (Twitter).
- Data Validation: Validators ensure the relevance, quality, and accuracy of the data.
- Rewards: Contributors are rewarded based on performance, incentivizing high-quality work.
Why Subnet 42 Matters
Subnet 42 is more than just a data tool. By contributing to Subnet 42, you’re:
- Supporting the development of sentient AI agents in Subnet 59
- Providing critical, real-time data that powers AI innovation
- Helping build a fair, transparent ecosystem for data contributors
🚀 Join the Data Revolution
Become a part of Masa Subnet 42 and contribute to the future of data scraping. Whether you’re a miner or a validator, your role is crucial in maintaining the integrity and efficiency of the network.
Next Steps
Ready to get started? Choose your path: