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Grass users contribute bandwidth, not their personal data “Anyone joining the Grass network isn't actually sharing, like, personal information or anything like that” “Ultimately, what they're contributing is just internet bandwidth” “When AI labs need to build huge training data sets to train their AI models, the most important... source for them is actually the internet” Andrej clears up a common misconception around Grass. The network uses participants’ internet bandwidth to help access and collect public web data. Users provide the connection layer, while the web itself supplies the information used to build datasets. As more of the internet becomes difficult to access programmatically, distributed bandwidth becomes part of the infrastructure connecting public web data with AI.show more

Kaiz 🐂🀄️

14,550 subscribers

13,127 views • 23 days ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

4 Comments

Kaiz 🐂🀄️23 days ago

ft: @0xdrej, @blknoiz06, @grass, @MarketBubble

rasheed23 days ago

Do they still have users?

Crypto Pickup23 days ago

The passive plays are getting serious ngl

vøv △23 days ago

@blknoiz06 Bandwidth is the new oil for AI...

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the part that stands out to me with Grass is how valuable access to the open web becomes as AI scales more websites are putting anti-bot infrastructure in front of public data, while cloud and VPN traffic gets filtered more aggressively Grass uses distributed residential internet connections to help AI labs access publicly available web data through a different route as models need more fresh data, that access layer becomes increasingly important

the part that stands out to me with Grass is how valuable access to the open web becomes as AI scales more websites are putting anti-bot infrastructure in front of public data, while cloud and VPN traffic gets filtered more aggressively Grass uses distributed residential internet connections to help AI labs access publicly available web data through a different route as models need more fresh data, that access layer becomes increasingly important

Ansem 🐂🀄️

86,786 views • 23 days ago

one thing i find interesting about Grass is the growing importance of data infrastructure as AI scales AI labs need massive amounts of data, but accessing public web data is becoming increasingly difficult Grass uses a distributed network of internet connections to help collect that data and make it available to AI companies i believe access to high-quality data will become an increasingly important competitive advantage in AI, which makes this an interesting area to follow

one thing i find interesting about Grass is the growing importance of data infrastructure as AI scales AI labs need massive amounts of data, but accessing public web data is becoming increasingly difficult Grass uses a distributed network of internet connections to help collect that data and make it available to AI companies i believe access to high-quality data will become an increasingly important competitive advantage in AI, which makes this an interesting area to follow

Ansem 🐂🀄️

114,744 views • 17 days ago

🌱 Get rewarded for the internet you don’t use. Grass is a #DePIN network on #Solana that turns unused bandwidth into rewards. Install the app (desktop, Android, or extension), leave it running in the background, and help collect public web data for #AI, while you earn Grass Points and #GRASS. 8.5M+ users worldwide. Privacy-first: only unused bandwidth, no personal data. 🌐 ❎ 🗣️ 🔗 CA ( $Solana ): Grass7B4RdKfBCjTKgSqnXkqjwiGvQyFbuSCUJr3XXjs 📊 Explorer: Download, stay online, refer friends. Touch grass. 🌿 #SOL #Bullish #bullrun $GRASS

🌱 Get rewarded for the internet you don’t use. Grass is a #DePIN network on #Solana that turns unused bandwidth into rewards. Install the app (desktop, Android, or extension), leave it running in the background, and help collect public web data for #AI, while you earn Grass Points and #GRASS. 8.5M+ users worldwide. Privacy-first: only unused bandwidth, no personal data. 🌐 ❎ 🗣️ 🔗 CA ( $Solana ): Grass7B4RdKfBCjTKgSqnXkqjwiGvQyFbuSCUJr3XXjs 📊 Explorer: Download, stay online, refer friends. Touch grass. 🌿 #SOL #Bullish #bullrun $GRASS

Crypto Holding™ 💎

156,623 views • 1 month ago

Grass is a decentralized web scraping protocol that rewards users for sharing internet bandwidth — data collected is used to train AI models. On Feb. 14 touch grass hit an ATH in daily data collected – with 1M+ GB scraped 🤯 more on Grass from with Kevin Follonier - MR SHIFT 🦁

Grass is a decentralized web scraping protocol that rewards users for sharing internet bandwidth — data collected is used to train AI models. On Feb. 14 touch grass hit an ATH in daily data collected – with 1M+ GB scraped 🤯 more on Grass from with Kevin Follonier - MR SHIFT 🦁

Solana

26,652 views • 1 year ago

In the second episode of Scenius Studio's mini-series "The Use-Case", I sit down with Andrej Co-Founder of touch grass. Grass gives users the ability to earn ownership in the Grass network by supplying the protocol with their unused internet bandwidth for data scraping purposes (something that is already happening to most of us and we don’t get paid!). The grass protocol packages this scraped web data and sells it to AI companies who have insufficient data to further develop their models. With over 3 millions users and millions of annualized revenue, Grass is a real commercial business with a roadmap that makes it one of the most exciting projects at the intersection of crypto x AI and data. In this episode we discuss: ➔ Andrej’s background in physics, finance, and sports betting ➔ Big companies using your IP address without your knowledge or permission ➔ How the Grass protocol puts a toll booth on your internet bandwidth highway ➔ Packaging web scraped data and selling it to AI companies building Multi-Modal models ➔ Dynamics between the Grass Protocol and the labs entity developing Grass’ IP ➔ Protocol design decisions to ensure that all tokenholders (VCs, team, and community) are aligned ➔ Why Grass needed to be built on crypto rails to maximize its potential ➔ The future of LLMs and how they will search for context and information Hope you enjoy this episode of Scenius Studio's "The Use-Case". Links to listen in bio or below👇

In the second episode of Scenius Studio's mini-series "The Use-Case", I sit down with Andrej Co-Founder of touch grass. Grass gives users the ability to earn ownership in the Grass network by supplying the protocol with their unused internet bandwidth for data scraping purposes (something that is already happening to most of us and we don’t get paid!). The grass protocol packages this scraped web data and sells it to AI companies who have insufficient data to further develop their models. With over 3 millions users and millions of annualized revenue, Grass is a real commercial business with a roadmap that makes it one of the most exciting projects at the intersection of crypto x AI and data. In this episode we discuss: ➔ Andrej’s background in physics, finance, and sports betting ➔ Big companies using your IP address without your knowledge or permission ➔ How the Grass protocol puts a toll booth on your internet bandwidth highway ➔ Packaging web scraped data and selling it to AI companies building Multi-Modal models ➔ Dynamics between the Grass Protocol and the labs entity developing Grass’ IP ➔ Protocol design decisions to ensure that all tokenholders (VCs, team, and community) are aligned ➔ Why Grass needed to be built on crypto rails to maximize its potential ➔ The future of LLMs and how they will search for context and information Hope you enjoy this episode of Scenius Studio's "The Use-Case". Links to listen in bio or below👇

Ben Jacobs

22,468 views • 1 year ago

Yan Liberman (Yan Liberman) explains why Grass is the most underappreciated AI infrastructure play in the market: "GRASS made it. $12M in quarterly revenue as of November 2025. Sparse updates, that's why it's been overlooked." "Residential opt-in bandwidth network. Users contribute unused bandwidth through a browser extension. GRASS scrapes the internet with it."

Yan Liberman (Yan Liberman) explains why Grass is the most underappreciated AI infrastructure play in the market: "GRASS made it. $12M in quarterly revenue as of November 2025. Sparse updates, that's why it's been overlooked." "Residential opt-in bandwidth network. Users contribute unused bandwidth through a browser extension. GRASS scrapes the internet with it."

The Rollup

72,770 views • 5 months ago

Grass is betting that better AI still starts with better pre-training data “Whatever you put into your model ultimately determines what your model's capabilities are” “Several of the top frontier AI labs in the world are working directly with Grass to acquire large amounts of pre-training data” “If that information is not present in your model, your model doesn't know how to do that thing in the first place” Andrej puts Grass close to one of the most fundamental inputs in AI: the training corpus itself. As frontier models scale, they need enormous amounts of diverse, high-quality web data. They are building the infrastructure to collect and supply that data at internet scale. Model capability starts with what the model gets to learn from.

Grass is betting that better AI still starts with better pre-training data “Whatever you put into your model ultimately determines what your model's capabilities are” “Several of the top frontier AI labs in the world are working directly with Grass to acquire large amounts of pre-training data” “If that information is not present in your model, your model doesn't know how to do that thing in the first place” Andrej puts Grass close to one of the most fundamental inputs in AI: the training corpus itself. As frontier models scale, they need enormous amounts of diverse, high-quality web data. They are building the infrastructure to collect and supply that data at internet scale. Model capability starts with what the model gets to learn from.

Kaiz 🐂🀄️

13,989 views • 23 days ago

When AI gives bad advice, it can have real consequences. Grass is improving the way AI interacts with information by providing tools that enable access to accurate, verifiable web data. Join millions of users and download Grass today.

When AI gives bad advice, it can have real consequences. Grass is improving the way AI interacts with information by providing tools that enable access to accurate, verifiable web data. Join millions of users and download Grass today.

Grass

667,753 views • 2 years ago

New Delphi Podcast with Andrej Radonjic Andrej, founder of Grass To a website, Grass looks like normal users browsing. Behind it is millions of opted in residential nodes and a data platform that has delivered exabytes of web data to the frontier labs We get into how AI flipped the hard part of search upside down. The index used to be the moat, and crawling was free. Now AI tooling makes the index cheap, while AI crawlers have pushed the web into blocking everything. The hard part is getting the page at all Training data is already a profitable business for Grass with most of the top labs and multiple Mag 7 companies as customers. Crawling for that data also means mapping the entire internet, which is what puts Grass in a position to build search on top of it. Contents API is live, Search is next, and multimodal grounding follows 00:00 Intro 00:43 From Nuclear Physics to Web Scraping 03:38 The Pandemic Signal Everyone Missed 07:31 The Smart TV Proxy Scandal 09:10 Why the Internet Is Blocking AI 11:56 Training Data vs Live Data 16:05 Mapping the Entire Internet 18:03 Delivering Exabytes to AI Labs 21:48 What AI Labs Really Pay For 24:43 How Robots Learn From Web Video 33:02 When Labs Change Direction 35:57 One API Call for Any Website 41:58 AI Flipped Search Upside Down 47:03 Can the Network Keep Up? 49:52 The Defense Tech of AI Data 52:58 Why Data Is the Alpha 57:08 Why AI Labs Won’t Buy Slop 59:17 The Metric That Matters Most 01:02:35 The $100 Billion Data Market 01:05:07 Who Actually Owns Grass 01:08:18 What a Real Moat Looks Like 01:13:16 What Happens Next Disclosure. Delphi Ventures holds $GRASS Full episode

New Delphi Podcast with Andrej Radonjic Andrej, founder of Grass To a website, Grass looks like normal users browsing. Behind it is millions of opted in residential nodes and a data platform that has delivered exabytes of web data to the frontier labs We get into how AI flipped the hard part of search upside down. The index used to be the moat, and crawling was free. Now AI tooling makes the index cheap, while AI crawlers have pushed the web into blocking everything. The hard part is getting the page at all Training data is already a profitable business for Grass with most of the top labs and multiple Mag 7 companies as customers. Crawling for that data also means mapping the entire internet, which is what puts Grass in a position to build search on top of it. Contents API is live, Search is next, and multimodal grounding follows 00:00 Intro 00:43 From Nuclear Physics to Web Scraping 03:38 The Pandemic Signal Everyone Missed 07:31 The Smart TV Proxy Scandal 09:10 Why the Internet Is Blocking AI 11:56 Training Data vs Live Data 16:05 Mapping the Entire Internet 18:03 Delivering Exabytes to AI Labs 21:48 What AI Labs Really Pay For 24:43 How Robots Learn From Web Video 33:02 When Labs Change Direction 35:57 One API Call for Any Website 41:58 AI Flipped Search Upside Down 47:03 Can the Network Keep Up? 49:52 The Defense Tech of AI Data 52:58 Why Data Is the Alpha 57:08 Why AI Labs Won’t Buy Slop 59:17 The Metric That Matters Most 01:02:35 The $100 Billion Data Market 01:05:07 Who Actually Owns Grass 01:08:18 What a Real Moat Looks Like 01:13:16 What Happens Next Disclosure. Delphi Ventures holds $GRASS Full episode

Yan Liberman

92,699 views • 6 days ago

Programmable Bandwidth is crypto’s next meta. Gm rent your spare Wi-Fi to AI. AI needs more data. AGI is coming. Are you ready? Bandwidth = how much data your connection moves per second. Residential IP = your home’s street address on the internet, trusted as human traffic that doesn’t get blocked. Together, Bandwidth + Residential IP = clean, high-trust traffic that data buyers and AI teams actually want. The community becomes the network. LLMs eat data. The more and the higher quality, the smarter they get. Owning the data pipeline = owning the power. Proof it’s valuable: big platforms license conversational & user-generated data for serious money. Many 8-figure+ deals are public, many more done under the table. Proprietary datasets are the real edge in this AI world. Why residential IPs matter: datacenter IPs get blocked by anti-scraping shields. Residential IP networks are resilient. Grass showed the playbook: idle bandwidth can pay twice 1️⃣ Web data collection via your node 2️⃣ Renting those nodes to GPU grids for training Data + compute = compounding revenue. Hub ( takes it further: aggregate community bandwidth → build a Residential IP Supernetwork → sell real-time data APIs to enterprises (from Meta to Web2 startups). The value loop: Community miners → Bandwidth pool → Enterprise feeds → Revenue → Rewards. If revenue outpaces incentives, everyone wins. Balancing it won’t be easy, time will tell. For miners: run on the network, earn points (likely $HUB at mainnet). Early participation can matter. Why DePIN? Community-run networks scale faster, are harder to censor, and more resilient than centralized systems. We are long programmable bandwidth thesis. In an agent-driven world, whoever controls the live data feed mints the money. DYOR. Register NOW

Programmable Bandwidth is crypto’s next meta. Gm rent your spare Wi-Fi to AI. AI needs more data. AGI is coming. Are you ready? Bandwidth = how much data your connection moves per second. Residential IP = your home’s street address on the internet, trusted as human traffic that doesn’t get blocked. Together, Bandwidth + Residential IP = clean, high-trust traffic that data buyers and AI teams actually want. The community becomes the network. LLMs eat data. The more and the higher quality, the smarter they get. Owning the data pipeline = owning the power. Proof it’s valuable: big platforms license conversational & user-generated data for serious money. Many 8-figure+ deals are public, many more done under the table. Proprietary datasets are the real edge in this AI world. Why residential IPs matter: datacenter IPs get blocked by anti-scraping shields. Residential IP networks are resilient. Grass showed the playbook: idle bandwidth can pay twice 1️⃣ Web data collection via your node 2️⃣ Renting those nodes to GPU grids for training Data + compute = compounding revenue. Hub ( takes it further: aggregate community bandwidth → build a Residential IP Supernetwork → sell real-time data APIs to enterprises (from Meta to Web2 startups). The value loop: Community miners → Bandwidth pool → Enterprise feeds → Revenue → Rewards. If revenue outpaces incentives, everyone wins. Balancing it won’t be easy, time will tell. For miners: run on the network, earn points (likely $HUB at mainnet). Early participation can matter. Why DePIN? Community-run networks scale faster, are harder to censor, and more resilient than centralized systems. We are long programmable bandwidth thesis. In an agent-driven world, whoever controls the live data feed mints the money. DYOR. Register NOW

Q42

39,768 views • 1 year ago

Data is the foundation of any AI training. All of the GPUs in the world can't train an AI model if they don't have data to train it on. Don't forget: Grass is the data layer of AI.

Data is the foundation of any AI training. All of the GPUs in the world can't train an AI model if they don't have data to train it on. Don't forget: Grass is the data layer of AI.

Grass

211,994 views • 2 years ago

one thing i find interesting about Grass is its potential expansion beyond AI training data they've already built infrastructure to collect and process web data at scale, and now they're looking to make those tools available directly to AI agents and LLMs i expect real-time access to web data to become increasingly important as AI agents grow more capable that could open up an entirely different market for infrastructure providers like Grass

one thing i find interesting about Grass is its potential expansion beyond AI training data they've already built infrastructure to collect and process web data at scale, and now they're looking to make those tools available directly to AI agents and LLMs i expect real-time access to web data to become increasingly important as AI agents grow more capable that could open up an entirely different market for infrastructure providers like Grass

Ansem 🐂🀄️

98,556 views • 15 days ago

The Nvidia NVlink Spine can locally process the entire bandwidth of data equivalent of the Internet for GPU use on AI processing.

The Nvidia NVlink Spine can locally process the entire bandwidth of data equivalent of the Internet for GPU use on AI processing.

Brian Roemmele

377,663 views • 10 months ago

Will touch grass become the data layer for AI? In this weeks podcast I sit down with the founder Andrej as we speak to the AI boom and necessary ingredients needed to power it: compute and data AI x Crypto x Data (Grass) We speak to: - 600,000 users in only seven months - Expanding into data cleaning and preparation - What are the current issues in the AI space right now, and how is Grass addressing these issues Youtube: Spotify:

Will touch grass become the data layer for AI? In this weeks podcast I sit down with the founder Andrej as we speak to the AI boom and necessary ingredients needed to power it: compute and data AI x Crypto x Data (Grass) We speak to: - 600,000 users in only seven months - Expanding into data cleaning and preparation - What are the current issues in the AI space right now, and how is Grass addressing these issues Youtube: Spotify:

Logan Jastremski

136,484 views • 2 years ago

Today, Story becomes The DATA Foundation. $IP is now $DATA. The Story Network is now DATA Network, tracking 1B+ data records with a singular mission: to become the trust layer for all AI training data. Welcome to The DATA Foundation.

Today, Story becomes The DATA Foundation. $IP is now $DATA. The Story Network is now DATA Network, tracking 1B+ data records with a singular mission: to become the trust layer for all AI training data. Welcome to The DATA Foundation.

The DATA Foundation

392,175 views • 4 months ago

We need to support the responsible growth of AI. With the Grass L2, AI developers will be able to verify the origin of all training data, preventing data poisoning and fighting AI misinformation. This technology has never been more important.

We need to support the responsible growth of AI. With the Grass L2, AI developers will be able to verify the origin of all training data, preventing data poisoning and fighting AI misinformation. This technology has never been more important.

Grass

343,785 views • 2 years ago

We've hit the data wall- all public internet data has been used to train AI. explains why the future of AI training lies in unlocking user-owned data from walled gardens 🔓

We've hit the data wall- all public internet data has been used to train AI. explains why the future of AI training lies in unlocking user-owned data from walled gardens 🔓

vana

16,502 views • 1 year ago

💡Why Vana? “Ultimately, AI models are only as good as their training data. So if you want to build the best AI, you need the best data.” shares the vision behind Vana’s mission, centered on DataDAOs that aggregate specific datasets, reward data owners for their contributions and level up AI models with high-quality data🏆

💡Why Vana? “Ultimately, AI models are only as good as their training data. So if you want to build the best AI, you need the best data.” shares the vision behind Vana’s mission, centered on DataDAOs that aggregate specific datasets, reward data owners for their contributions and level up AI models with high-quality data🏆

vana

108,377 views • 1 year ago

The Internet Computer is building the future of AI ownership. 🔒 Your AI assistants know your habits, preferences & data – but who controls THEM? Soon, you'll run personal AI agents directly on the Internet Computer: ⚡ Secure access to open-source LLMs ⚡ Optimized for custom models ⚡ Your data stays YOURS Digital sovereignty matters.

The Internet Computer is building the future of AI ownership. 🔒 Your AI assistants know your habits, preferences & data – but who controls THEM? Soon, you'll run personal AI agents directly on the Internet Computer: ⚡ Secure access to open-source LLMs ⚡ Optimized for custom models ⚡ Your data stays YOURS Digital sovereignty matters.

DFINITY Foundation

10,141 views • 1 year ago