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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 -... show more

Solana

4,224,898 subscribers

26,652 просмотров • 1 год назад •via X (Twitter)

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Фото профиля Solana

Solana1 год назад

Community owned networks are the future. 13 DePIN products you can use on Solana today 🧵

Фото профиля Solana

Solana1 год назад

NATIX (@NatixNetwork) is a global mapping network offering two major products: 1️⃣ VX360 — turning Tesla dashcams into data goldmines for safer autonomous driving 2️⃣ Drive&app — where your phone gathers mapping data from daily drives — live on the Apple and Google app stores

Фото профиля Solana

Solana1 год назад

.@Gradient_HQ utilizes idle compute from edge devices, PCs, and local servers to perform real time processing tasks. Their first product — Sentry Nodes — use p2p connections to confirm liveness and measure latency between nodes. There are 1.3M active nodes as of Feb. 26th.

Фото профиля Solana

Solana1 год назад

Hivemapper is taking on big tech mapping incumbents with a community-built map — everyday drivers contribute to the network and earn with the @Hivemapper Bee dashcam. They recently started serving data to TomTom — #1 real time traffic services provider — to improve their maps.

Фото профиля Solana

Solana1 год назад

Dabba (@DabbaNetwork) is a wireless DePIN focused on expanding internet access in India — the 2nd largest telecom market in the world Set up your own hotspot to contribute to the network and earn — @dawnjohnphilip shows you how in just 2 mins

Фото профиля Solana

Solana1 год назад

Roam (@WeRoamXyz) unifies over 1M WiFi hotspots into a secure global network on Solana by rewarding users for contributing. It uses decentralized identifiers (DIDs) and verifiable credentials to keep users’ data private. Download on the app store!

Фото профиля Solana

Solana1 год назад

DeCharge (@DeCharge__) is a global EV charging network built on Solana ⚡ Their first product, DeCharge Beast, is a 7KW community charger powered by @dephynetwork that generates income for you as electric vehicles utilize it.

Фото профиля Solana

Solana1 год назад

Dawn is a decentralized broadband network built by the @andrena_wifi team. @dawninternet aims to shift internet infra into individual homes and slash consumer internet bills by around 80%. Watch @CipherResearchx explain in 3 mins.

Фото профиля Solana

Solana1 год назад

Kuzco (@Kuzco_xyz) transforms idle local GPU power into affordable cloud computing. Compute is then offered for major LLM models like Meta’s Llama with up to 90% cost savings vs. traditional providers. Start contributing at inference(dot)supply

Фото профиля Solana

Solana1 год назад

.@GEODNET_ is a network of satellite miners delivering RTK correction data for ~100x more accurate GPS positioning. Low-power stations (<2W) support robots & devices within 20-40km, correcting errors from satellite systems and space weather. 2024 recap video:

Фото профиля Solana

Solana1 год назад

.@AmbiosNetwork an environmental monitoring DePIN where individuals deploy sensors to collect real-time air quality data, earn rewards, and help orgs make informed environmental decisions. More from cofounder @luckyluca with @gizmothegizzer:

Фото профиля Solana

Solana1 год назад

Pipe (@pipenetwork) is a decentralized content delivery network (dCDN) that accelerates delivery by leveraging users’ excess storage & bandwidth. More nodes = faster delivery. More from @DavidRhodus at Breakpoint '24

Фото профиля Solana

Solana1 год назад

Get fit and earn while doing it — CUDIS (@CudisWellness) wearables track your health journey with metrics like sleep quality, heart rate and VO2 max. They recently released the CUDIS 002 Ring.

Фото профиля Solana

Solana1 год назад

These are just a few examples of DePINs powered by Solana -- nCMOs, please drop more that we missed below 🫡

Фото профиля CrispyBull

CrispyBull1 год назад

🚀 Ethereum is scaling up! With the gas limit raised beyond 30M and the Pectra update doubling Layer 2 capacity, ETH is gearing up for faster, cheaper transactions. Are we entering a new era for Ethereum? 🔥 #Ethereum #Crypto #Blockchain #ETHUpdate#DeFi

Фото профиля AJ

AJ1 год назад

@getgrass_io @Arthur_0x @KevinWSHPod Grass is the biggest of all DePINs With the largest payout!

Фото профиля Connan

Connan1 год назад

@getgrass_io @Arthur_0x @KevinWSHPod Touch grass

Фото профиля Mhayo

Mhayo1 год назад

@getgrass_io @Arthur_0x @KevinWSHPod AI + blockchain = future. $WAM knows this, now Grass knows it too

Похожие видео

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.

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.

Kaiz 🐂🀄️

13,127 просмотров • 1 месяц назад

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 просмотров • 1 год назад

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 просмотров • 2 лет назад

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 🐂🀄️

86,998 просмотров • 1 месяц назад

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 просмотров • 2 лет назад

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 🐂🀄️

115,015 просмотров • 25 дней назад

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 просмотров • 5 месяцев назад

Grass Founder Andrej explains why more web scraping doesn’t mean better AI data. “Anybody these days can go and deploy a crawler and with enough compute, you can go and advertise that you’re crawling insane numbers of pages. The thing is, there’s a lot of useless stuff on the internet.”

Grass Founder Andrej explains why more web scraping doesn’t mean better AI data. “Anybody these days can go and deploy a crawler and with enough compute, you can go and advertise that you’re crawling insane numbers of pages. The thing is, there’s a lot of useless stuff on the internet.”

Delphi Digital

44,955 просмотров • 9 дней назад

Snoop Dogg says: "I know even more about Grass! Grass is the Data Layer of AI! Join the AI revolution by touching Grass! Join the Grass Army!" Snoop Dogg @GetGrass_IO @GrassFDN #SnoopDogg #Grass #GetGrass #GrassArmy #Crypto #DataLayer #AIrevolution #TouchingGrass #Parody

Snoop Dogg says: "I know even more about Grass! Grass is the Data Layer of AI! Join the AI revolution by touching Grass! Join the Grass Army!" Snoop Dogg @GetGrass_IO @GrassFDN #SnoopDogg #Grass #GetGrass #GrassArmy #Crypto #DataLayer #AIrevolution #TouchingGrass #Parody

GRASSΞR

23,397 просмотров • 1 год назад

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

107,871 просмотров • 15 дней назад

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 просмотров • 1 месяц назад

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 🐂🀄️

99,378 просмотров • 23 дней назад

There have been some questions about what LCR is and how it’s used in AI models. In this clip, Andrej breaks down how LLMs leverage LCR to pull real-time, up-to-date data from the web. To learn more, check out his tweet on how LCR will change AI forever.

There have been some questions about what LCR is and how it’s used in AI models. In this clip, Andrej breaks down how LLMs leverage LCR to pull real-time, up-to-date data from the web. To learn more, check out his tweet on how LCR will change AI forever.

Grass

269,193 просмотров • 2 лет назад

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 просмотров • 2 лет назад

Data ownership & privacy are key to building an internet that benefits & protects its end-users AI is no different — Users’ data must be protected while interacting with AI Oasis' privacy-preserving smart contracts enable users to contribute data to AI models on their own terms

Data ownership & privacy are key to building an internet that benefits & protects its end-users AI is no different — Users’ data must be protected while interacting with AI Oasis' privacy-preserving smart contracts enable users to contribute data to AI models on their own terms

Oasis Labs

32,879 просмотров • 3 лет назад

Introducing: Advanced Data Assets™ By LayerAI 🧬 Data is used to power Big Data and AI. The increasing demand for high quality data to improve AI models will lead to new companies creating value in the global data market. The problem: current data collection methods make data fall short of its true potential. Data is limited. Building a decentralized solution where users choose to productize and earn from their data opens untapped sources of income. 🌐 Creating Advanced Data Assets™ There exists a market opportunity to create a digital blockchain-based global data marketplace. Data collected using our nodes, our native network apps, settled on LayerAI. The Advanced Data. Meet the Ecosystem that empowers users to participate in the Data Economy.

Introducing: Advanced Data Assets™ By LayerAI 🧬 Data is used to power Big Data and AI. The increasing demand for high quality data to improve AI models will lead to new companies creating value in the global data market. The problem: current data collection methods make data fall short of its true potential. Data is limited. Building a decentralized solution where users choose to productize and earn from their data opens untapped sources of income. 🌐 Creating Advanced Data Assets™ There exists a market opportunity to create a digital blockchain-based global data marketplace. Data collected using our nodes, our native network apps, settled on LayerAI. The Advanced Data. Meet the Ecosystem that empowers users to participate in the Data Economy.

LayerAI | AI2Earn

27,140 просмотров • 2 лет назад

The world’s top AI labs are pushing the limits of what today’s models can do, and better data is one of the keys to discovering the theoretical ceiling of machine intelligence. The path forward is increasingly clear: more data, greater diversity, and higher-quality domain-specific data. That’s the problem Grass was built to solve.

The world’s top AI labs are pushing the limits of what today’s models can do, and better data is one of the keys to discovering the theoretical ceiling of machine intelligence. The path forward is increasingly clear: more data, greater diversity, and higher-quality domain-specific data. That’s the problem Grass was built to solve.

Grass

42,315 просмотров • 2 месяцев назад

1/ New episode with Andrej Radonjic (Andrej), Co-Founder and CEO of touch grass! We discuss: - Grass as critical infrastructure to power the AI boom - Scaling to 2M+ contributors within months - How Grass is democratizing AI

1/ New episode with Andrej Radonjic (Andrej), Co-Founder and CEO of touch grass! We discuss: - Grass as critical infrastructure to power the AI boom - Scaling to 2M+ contributors within months - How Grass is democratizing AI

Proof of Coverage | Tech’s Creative Agency

298,672 просмотров • 2 лет назад