Disclaimer: Author does not own any tokens mentioned in this report.
1. Introduction:
In our AI-driven world, data dictates model accuracy.
Yet, access is increasingly restricted, with top data sources auctioning to the highest bidders.
Grass offers a game-changing solution: harnessing user bandwidth to collect AI training data, using crypto incentives.
Since its token launch a few weeks ago, GRASS has taken the crypto world by storm.
Source: Grass
(i) Key Report Insights:
Grass Network Growth: Grass has over 2.8M nodes, extracting over 100 TB of data from the web daily.
Revenue Potential: Grass could generate $3 billion in revenue with its current data repositories.
LCR In AI: Grass’ LCR enables AI models to access real-time data, enhancing their performance.
AI + DePIN + Solana: GRASS provides unique exposure to the AI and data sectors in the Solana ecosystem.
Bandwidth Opportunity: Most users use only 10% of their bandwidth, presenting huge monetization opportunities.
Below, we outline the core arguments for and against GRASS, weighing its strengths and potential challenges ahead:
(ii) Price History: Is A Cooldown Coming?
The GRASS token launched on October 28, so historical price data is limited.
Since its debut, the token has surged roughly 400%.
However, the RSI momentum indicator shows it is entering overbought territory, hinting at a potential cooldown soon.
Key support levels to watch are at $2 and $1.3 on the 4hr timeframe. We posted a report on GRASS pre-launch in July—congrats to those who capitalized at TGE.
2. Project Overview:
A. The AI Data Race: Monopoly In The Making?
As AI models rapidly evolve, so too does their insatiable need for data.
Public data is dwindling, pushing companies toward exclusive content licensing deals—like Google’s $60 million agreement with Reddit.
This trend points to a looming monopoly over high-quality data, accessible only to capital-rich companies.
Source: (Inspired by) Decentralised.co
B. Grass: Powering AI With Decentralized Data
Grass is a Web3 data aggregator bridging AI developers to high-quality, real-time data.
Situated in the data layer of the AI stack, Grass delivers essential training data by scraping the web in real-time.
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