
DeepSeek Innovation and Endogenous Dilemmas: Navigating Crypto in the Fog
DeepSeek's success has proven to us that innovation remains the most effective path to break through seemingly insurmountable challenges.

Why AI is DeFi’s Next Milestone?
As DeFi expands in scale and complexity, AI-driven "Agentic Finance" is becoming a key direction to lower the barrier of entry for users. This article systematically analyzes the current development and core challenges of two types of intelligent agents: Co-pilot Agents Platforms like &milo, The Hive, and Meridian assist users with investment decisions, asset rebalancing, and more through natural language processing. However, they still face issues such as execution errors, data latency, and ...

New Game on the Field: Can Prediction Markets Shake the Deep Water of U.S. Sports Business?
1. Booming Market: Kalshi & Polymarket October 2025 trading volume on the two largest U.S. prediction-market venues jumped more than 90 % month-over-month, with sports contracts driving the spike. Polymarket is raising a new round that would value the firm at USD 12-15 B, while Kalshi was last priced at roughly USD 2 B. Both platforms now treat sports as their core growth engine. --- 2. First Mover: NHL Signs Official Data Deal The National Hockey League became the first “Big-Four” league to ...

DeepSeek Innovation and Endogenous Dilemmas: Navigating Crypto in the Fog
DeepSeek's success has proven to us that innovation remains the most effective path to break through seemingly insurmountable challenges.

Why AI is DeFi’s Next Milestone?
As DeFi expands in scale and complexity, AI-driven "Agentic Finance" is becoming a key direction to lower the barrier of entry for users. This article systematically analyzes the current development and core challenges of two types of intelligent agents: Co-pilot Agents Platforms like &milo, The Hive, and Meridian assist users with investment decisions, asset rebalancing, and more through natural language processing. However, they still face issues such as execution errors, data latency, and ...

New Game on the Field: Can Prediction Markets Shake the Deep Water of U.S. Sports Business?
1. Booming Market: Kalshi & Polymarket October 2025 trading volume on the two largest U.S. prediction-market venues jumped more than 90 % month-over-month, with sports contracts driving the spike. Polymarket is raising a new round that would value the firm at USD 12-15 B, while Kalshi was last priced at roughly USD 2 B. Both platforms now treat sports as their core growth engine. --- 2. First Mover: NHL Signs Official Data Deal The National Hockey League became the first “Big-Four” league to ...
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Recent Updates from Grass
On April 4th, BN announced the second batch of nominees, which included Grass!
On April 2nd, Grass revealed its Q1 data: it captured over 57,000,000 GB of public web data. Since the Sion upgrade, the volume of data captured has increased by 320 times. In March alone, the network averaged 1,100,000 GB of data captured per day. This scale was once exclusive to the largest companies on the internet.
Introduction to Grass
Grass is a decentralized Layer 2 data aggregation network built on Solana. It allows users to earn incentives through their internet connections by selling unused network resources, serving as a source of AI training data. By leveraging AI, DePIN, and Solana technologies, Grass establishes a foundational data layer for AI. Its unique incentive structure and security mechanisms provide users with a fair and open AI data layer, while ensuring data transparency and security.
Launched in 2023 by Wynd Network, Grass initially used a Chrome extension, and later developed a node that could access users' unused bandwidth. It now has over 2 million active nodes, capturing over 100TB of data daily. To date, Grass nodes are spread across 190 countries, with more than 2.5 million nodes in total.
Grass Technical Architecture
Grass's underlying infrastructure is supported by a dedicated data Rollup on Solana, utilizing a distributed node system to capture and process data through active nodes worldwide:
Validators: A crucial part of the network, responsible for confirming interactions and maintaining network stability. They generate zero-knowledge (ZK) proofs to verify session data, which is stored on-chain for reference.
Routers: Relay incentives to node operators based on verified bandwidth, facilitating connections between nodes and validators.
Grass Nodes: The backbone of the network, primarily tasked with transmitting traffic from client devices according to validators' instructions.
Fully Encrypted Traffic (FET): Ensures that all parts of the data are confidential and protected.
Partially Encrypted Traffic (PET): Suitable for situations where full encryption is not possible or necessary, balancing security with processing efficiency.
Grass Technical Team
The team has earned users' respect by valuing the community and adopting a fair and transparent approach. Most members remain anonymous, with extensive backgrounds in data processing and AI model training. Only Wynd Network co-founder Andrej Radonjic has publicly disclosed his identity:
Andrej Radonjic is the co-founder of Grass, which is also Wynd Network's flagship product. He holds a Master's degree in Mathematics and Statistics from York University and a Bachelor's degree in Engineering Physics from McMaster University. His goal is to provide individuals with the opportunity to be incentivized in the development of AI.
Grass Financing
Founded in 2023, Grass has undergone two major fundraising rounds and one private placement:
In July 2023, Grass completed a $1 million pre-seed round, led by No Limit Holdings, with participation from Big Brain Holdings, Builder Capital, Cogitent Ventures, and others.
In December 2023, it secured a $3.5 million seed round, led by Polychain and Tribe Capital, with participation from Bitscale Capital, Big Brain Holdings, Typhon Ventures, and others.
In September 2024, Grass completed an undisclosed fundraising round, led by Hack VC, with participation from Delphi Digital, Polychain, Brevan Howard Digital, Lattice Capital, and others.
Summary of Grass
Grass aims to establish a fair, open, and decentralized data layer, simplifying data transformation through its globally distributed Grass node network to make structured network data universally accessible for AI. As the first project on Solana to integrate AI, DePIN, and Solana technologies, Grass is poised to play an increasingly important role in AI training, data storage, and decentralized content management as its ecosystem continues to expand.
Recent Updates from Grass
On April 4th, BN announced the second batch of nominees, which included Grass!
On April 2nd, Grass revealed its Q1 data: it captured over 57,000,000 GB of public web data. Since the Sion upgrade, the volume of data captured has increased by 320 times. In March alone, the network averaged 1,100,000 GB of data captured per day. This scale was once exclusive to the largest companies on the internet.
Introduction to Grass
Grass is a decentralized Layer 2 data aggregation network built on Solana. It allows users to earn incentives through their internet connections by selling unused network resources, serving as a source of AI training data. By leveraging AI, DePIN, and Solana technologies, Grass establishes a foundational data layer for AI. Its unique incentive structure and security mechanisms provide users with a fair and open AI data layer, while ensuring data transparency and security.
Launched in 2023 by Wynd Network, Grass initially used a Chrome extension, and later developed a node that could access users' unused bandwidth. It now has over 2 million active nodes, capturing over 100TB of data daily. To date, Grass nodes are spread across 190 countries, with more than 2.5 million nodes in total.
Grass Technical Architecture
Grass's underlying infrastructure is supported by a dedicated data Rollup on Solana, utilizing a distributed node system to capture and process data through active nodes worldwide:
Validators: A crucial part of the network, responsible for confirming interactions and maintaining network stability. They generate zero-knowledge (ZK) proofs to verify session data, which is stored on-chain for reference.
Routers: Relay incentives to node operators based on verified bandwidth, facilitating connections between nodes and validators.
Grass Nodes: The backbone of the network, primarily tasked with transmitting traffic from client devices according to validators' instructions.
Fully Encrypted Traffic (FET): Ensures that all parts of the data are confidential and protected.
Partially Encrypted Traffic (PET): Suitable for situations where full encryption is not possible or necessary, balancing security with processing efficiency.
Grass Technical Team
The team has earned users' respect by valuing the community and adopting a fair and transparent approach. Most members remain anonymous, with extensive backgrounds in data processing and AI model training. Only Wynd Network co-founder Andrej Radonjic has publicly disclosed his identity:
Andrej Radonjic is the co-founder of Grass, which is also Wynd Network's flagship product. He holds a Master's degree in Mathematics and Statistics from York University and a Bachelor's degree in Engineering Physics from McMaster University. His goal is to provide individuals with the opportunity to be incentivized in the development of AI.
Grass Financing
Founded in 2023, Grass has undergone two major fundraising rounds and one private placement:
In July 2023, Grass completed a $1 million pre-seed round, led by No Limit Holdings, with participation from Big Brain Holdings, Builder Capital, Cogitent Ventures, and others.
In December 2023, it secured a $3.5 million seed round, led by Polychain and Tribe Capital, with participation from Bitscale Capital, Big Brain Holdings, Typhon Ventures, and others.
In September 2024, Grass completed an undisclosed fundraising round, led by Hack VC, with participation from Delphi Digital, Polychain, Brevan Howard Digital, Lattice Capital, and others.
Summary of Grass
Grass aims to establish a fair, open, and decentralized data layer, simplifying data transformation through its globally distributed Grass node network to make structured network data universally accessible for AI. As the first project on Solana to integrate AI, DePIN, and Solana technologies, Grass is poised to play an increasingly important role in AI training, data storage, and decentralized content management as its ecosystem continues to expand.
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