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Unused bandwidth can be exchanged for tokens! Revealing Grass's token incentives and growth potential

Unused bandwidth can be exchanged for tokens! Revealing Grass's token incentives and growth potential

远山洞见2024/10/16 10:12
By:远山洞见
I. Project introduction
 
Grass is a decentralized data layer launched by Wynd Network, designed to support artificial intelligence (AI) models. By allowing users to share their unused internet bandwidth, Grass enables individuals to collect and verify public network data through idle network connections of node operators. This data is then processed and used for AI model training. Users are rewarded with protocol native tokens by providing bandwidth. Grass not only changes the way users use idle resources, but also solves the accuracy and credibility issues of AI training data through transparent data processing solutions.
 
The core architecture of Grass consists of two parts: Grass nodes and sovereign data aggregation system. Grass nodes allow customers to engage with the network and receive token rewards by contributing idle bandwidth; the sovereign data aggregation system includes nodes, routers, validators, ZK processors, and data ledgers, helping to transform unstructured network data into structured datasets.
Unused bandwidth can be exchanged for tokens! Revealing Grass's token incentives and growth potential image 0
II. Project highlights
 
1. Decentralized network: Grass uses idle internet bandwidth to allow users to earn token rewards by sharing resources, creating a decentralized AI-supported infrastructure.
 
2. Data transparency and verification: Grass records the metadata of the data and stores it on the Solana blockchain to ensure that the source and authenticity of each dataset are verified, improving the transparency of AI Model Training data.
 
3. ZK processor technology: Grass introduces the ZK processor to achieve high-throughput web data request processing, and generates zero-knowledge proofs before submitting data on the chain to ensure the efficiency and privacy of data processing.
 
4. Sovereign Data Aggregation System: Through Grass's data ledger and ZK processor, AI companies can obtain trusted training data and verify its source, providing high-quality data for AI Model Training.
 
5. User-friendly: Users only need to download the Grass desktop node program, run it in the background, and receive token airdrops by contributing idle bandwidth. The operation is simple and does not require additional equipment.
 
III. Market value expectations
 
Grass ($GRASS) is a decentralized data layer launched by Wynd Network, designed to support artificial intelligence (AI) models. The goal is to provide high-quality training data for AI models by sharing idle bandwidth. Its core highlight is the decentralized bandwidth sharing and data verification system, which ensures data efficiency and transparency through ZK processor technology. Currently, the unit price of $GRASS token in the pre-market trading market is 1.09 dollars, with an initial circulation supply of 77 million coins and an initial circulation ratio of 7.7%, demonstrating its potential in the field of decentralized data infrastructure.
 
In order to predict the future market value performance of $GRASS, we can estimate the market value and token price by benchmarking other decentralized computing and AI-related projects such as Dojo Protocol ($DOAI), iExec ($RLC), and Render ($RENDER).
 
Benchmark project:
 
Dojo Protocol ($DOAI) : AI blockchain network, with a token unit price of 0.00563 dollars and a circulating market value of $2,497,074.655.
 
iExec ($RLC) : Decentralized Cloud Service network with a token price of 1.53 dollars and a circulating market value of $111,078,392.624.
 
Render ($RENDER) : a provider of decentralized GPU-based rendering solutions, with a token price of 5.47 dollars and a circulating market value of $2,831,611,357.501.
 
Assuming the market value of Grass reaches the levels of these benchmark projects, the expected price and increase of the $GRASS token are as follows:
 
Benchmarking Dojo Protocol ($DOAI) : The circulating market cap is $2,497,074.655, and the $GRASS token price is about $0.0324 , which is a drop of 96.97% relative to the current price.
 
Benchmarking iExec ($RLC) : The circulating market cap is $111,078,392.624, and the $GRASS token price is about $1.44 , which is a 1.32-fold increase relative to the current price.
 
Benchmark Render ($RENDER) : The circulating market cap is $2,831,611,357.501, and the price of $GRASS token is about $36.77 , which is a 33.74-fold increase .
 
IV. Token economy model
 
The total supply of Grass token ($GRASS) is 1 billion, and its distribution method aims to promote the long-term development of the ecosystem and reward early supporters. Currently, the official has only publicly disclosed its airdrop details.
 
The first batch of airdrops will account for 10% of the total supply and will be distributed to users participating in Closed Alpha and the first seven Epoches.
 
Airdrop distribution:
Closed Beta Test: 1.5% (15 million GRASS)
 
Stages 1-7:7% (70 million GRASS)
 
Bonus Stage: 0.5% (5 million GRASS)
 
To be announced: 1% (10 million GRASS)
In addition, the Grass Foundation will be responsible for managing quotas to ensure the decentralization and Sustainability of the Grass ecosystem. In the future, the Foundation will continue to distribute more token rewards to ecosystem builders and supporters based on contributions.
 
Core value: Grass token is not only a tool to reward users for sharing internet bandwidth, but also represents users' control over the future of decentralized internet. Through the token Incentive Mechanism, Grass encourages more nodes to join the network, improves data collection and processing capabilities, and provides higher quality training data for artificial intelligence models.
 
Token usage:
 
Reward mechanism : Users receive GRASS tokens as a reward by contributing idle bandwidth.
 
Ecosystem governance : Users holding GRASS tokens can participate in Grass governance decisions, voting on future quotas and development directions.
 
Trade and use : GRASS tokens can be used to purchase and access data on the network, driving services such as AI Model Training.
 
V. Team and financing
 
Team Part:
 
Andrej Radonjic - Co-founder
Chris Nguyen Chief Technology Officer (CTO)
 
Financing section:
 
Series A financing
Time: September 21, 2023
Main investors: Hack VC, Delphi Digital, Polychain, Brevan Howard Digital, Lattice Capital
 
Seed round financing
Time: December 18, 2023
Amount: 3.50 million USD
Key investors: Polychain, Tribe Capital, Bitscale Capital, Big Brain Holdings, Typhon Ventures, Advisors Anonymous, Mozaik
 
Pre-seed financing
Time: July 4, 2023
Amount: 1 million USD
Key investors: No Limit Holdings, Big Brain Holdings, Builder Capital, Cogitent Ventures, Kyle Samani, Neel Somani, Rahim Noorani
 
VI. Risk Warning
 
1. Although the project encourages users to share bandwidth through the token Incentive Mechanism, if the value of the token cannot grow steadily or the user's income cannot meet expectations, it may lead to User Churn, thereby weakening the utility of the entire network.
 
2. Grass relies on decentralized networks and blockchain technology. If there are vulnerabilities in Technology Implementation, especially in node data collection, bandwidth sharing, and data transparency, it may lead to a decrease in network efficiency or data processing failure. In addition, the implementation of advanced technologies such as ZK processors also has high technical challenges and may face delays or security risks.
 
3. Grass involves the processing of user data and the sharing of cross-border Internet resources. Different countries and regions may have different regulatory policies on data privacy, Internet use and blockchain, which may bring compliance challenges to the operation of Grass, especially in terms of privacy protection and data transparency.
 
VII. Official links
 
 
 
 
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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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