DiversityHD | 0xChain

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[DiversityHD | 0xChain @hd_diversity]

#TouchGrassChallenge
@getgrass_io
GetGrass Song, Touch Grass! 🌿🌱

[Grass @grass]

Treasury Update

As part of our ongoing treasury management strategy, Grass has completed $250,000 in open-market purchases of GRASS. This follows the earlier $100,000 allocation completed in November.

Reserves are maintained to support participation incentives, operational stability, and the continued development of token utility across network operations.

Treasury Wallet (Proof of Reserves): HtS8FPdfq9WiAFLqhdF49bZJNHTXuMQxPmwsTKBMR2Up

[Grass @grass]

We’re announcing our first Token Holder Call on November 24th, 2025 at 1PM EST.

We’ll review business progress, revenue and growth highlights, updates related to the token’s role in our ecosystem, and major initiatives ahead.

Questions may be submitted in advance through the registration form on Luma.

Register here: https://t.co/lDq3SUZ20C

[Sergeant Lazo | 0xChain @Sgt_Lazo]

Spot on, @TuTuScani. Post-unlock we’re seeing conviction, not panic.

At 0xChain,
500k+ $GRASS were newly staked in the last 24h.
Thank you to all stakers.
The signal is clear: investors are bullish.

Stake. Grow. Repeat.

[Seminto @Semintoo]

𝗧𝗼𝗸𝗲𝗻, 𝗔𝗶𝗿𝗱𝗿𝗼𝗽, 𝗜𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝗩𝗶𝘀𝗶𝗼𝗻

In recent weeks, there’s been a lot of talk about the token price, upcoming unlocks, and the airdrop. That’s natural, people focus on what they can see. But today, let’s look a little deeper.

@grass is not about trends or artificial hype. It’s an infrastructure that changes the way artificial intelligence gathers and processes data. This is not a short-term game.

If you’ve read previous articles about 𝗟𝗖𝗥, 𝗦𝗘𝗥𝗣 𝗔𝗣𝗜 & 𝗚𝗿𝗮𝘀𝘀𝗵𝗼𝗽𝗽𝗲𝗿, you already know where the entire concept is heading.

𝟭. 𝗚𝗥𝗔𝗦𝗦 𝘁𝗼𝗸𝗲𝗻 𝗮𝘀 𝘁𝗵𝗲 𝗲𝗻𝗴𝗶𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗻𝗲𝘁𝘄𝗼𝗿𝗸

$GRASS is not a speculative token.
It’s a utility layer that powers the entire network, from data nodes to user rewards.

It serves as the fuel of the infrastructure, a tool for staking, and a mechanism for distributing rewards to those who share their unused internet bandwidth.

Its value over time won’t come merely from trading, but from real-world utility and network growth, as the network transitions into full-scale operation, processing live data for AI in real time.

𝗙𝘂𝗻 𝗳𝗮𝗰𝘁: Airdrop 1 was one of the largest community distribution programs,
and Airdrop 2 is coming soon.

𝟮. 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗽𝗿𝗼𝗺𝗶𝘀𝗲𝘀

𝗚𝗿𝗮𝘀𝘀 currently processes several petabytes of data daily. Its 𝗦𝗘𝗥𝗣 𝗔𝗣𝗜 shows excellent performance in testing. In August, Grass reached a monthly revenue of $1.6 million - more than all DePIN projects on Solana combined.

@Wyndlabs_ai also extended their team lock-up until February 2026, a clear signal of long-term vision towards both the community and investors who have previously increased their holdings.

𝟯. 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗻𝗲𝗲𝗱 𝗺𝗼𝗻𝗲𝘆

The growth of the Grass network doesn’t come from advertising, but from trust, community, and natural adoption.

Applications are growing, the community gains thousands of users daily, and the network continues to expand rapidly.

That’s why 𝗚𝗿𝗮𝘀𝘀 feels different from most hype projects, it grows through silent performance, not noise.

𝟰. 𝗟𝗼𝗻𝗴-𝘁𝗲𝗿𝗺 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗮𝗻𝗱 𝗿𝗲𝗶𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁

While other projects pour millions into listings on CEX exchanges (Binance, etc.), 𝗚𝗿𝗮𝘀𝘀 follows the philosophy that the token belongs to the community, not the exchanges. If the infrastructure is valuable enough, the market will adapt on its own, not the other way around.

Every dollar the project earns goes straight back into development. This year, the team built its own data center and is moving infrastructure from rented to self-owned capacity.

With this approach, Grass is saving tens of millions annually compared to what most AI firms spend on rented cloud infrastructure.

It’s the same mindset Amazon had in the 1990s, reinvest everything into the foundations. Short-term pain, long-term dominance.

𝟱. 𝗪𝗵𝗲𝗿𝗲 𝘄𝗲’𝗿𝗲 𝗵𝗲𝗮𝗱𝗶𝗻𝗴

The coming months will bring several key milestones:

• Global presentation – conference @_odsc , where @0xdrej will present alongside leaders from companies like Microsoft, SAP, and other top tech firms including Google DeepMind

• Investor unlock – October 28, 2025
(expected support from most investors)

• Grasshopper – sales launch in Q4 2025

• Airdrop 2 – likely by the end of 2025
(everything depends on progress)

• The first GRASS Token Holder and Network Participant Call - december 2025

𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻

The $GRASS token is not currently a reflection of the team’s progress.
It’s the economic layer of a new data infrastructure that connects users, computing power, and AI into one ecosystem. Its real moment is still ahead.

The price may fluctuate with market sentiment. But the infrastructure already processing billions of requests every month, that’s a fact.

𝗚𝗿𝗮𝘀𝘀 isn’t building for a cycle.
𝗚𝗿𝗮𝘀𝘀 is building for a decade. 🌱

[DiversityHD | 0xChain @hd_diversity]

@iineessi Awesome Ines! Looks super nice

[Grass @grass]

https://t.co/JDQMeCbnTb

[Grass @grass]

We are excited to announce that we have raised $10m from @polychain and @tribecap. This investment will be used to support growth, expand infrastructure, and accelerate the path to our goal of an internet scale web crawl.

[Sergeant Lazo | 0xChain @Sgt_Lazo]

Only ~11% of $GRASS is staked. 🚀

Compare that to SOL, ADA, DOT with 50–70% locked.

What does this mean?
🔥 Huge room for staking adoption
🔥 Every new staker removes liquidity from the market
🔥 Less supply + growing demand = explosive upside pressure

We’re still early. When staking ramps up, $GRASS won’t just grow.... it will squeeze. 🌱💎

@grass @grassfdn

[Sergeant Lazo | 0xChain @Sgt_Lazo]

We’re sitting at 915K staked ..
the final stretch to 1 Million! 🟩
Time to pull the caps low, bring out the meme game,
and shout it loud:
Make 0xChain Great Again! 🚀
If you haven’t staked yet,
now’s the moment to be part of history.
$GRASS

@grass @grassfdn

[Grass @grass]

The value of the network shows up in how it’s being used. Here’s how customers are already working with Grass:

The customers below remain unnamed, since their work with Grass gives them a unique edge in AI where every advantage matters.

• Customer A needed an internet-scale corpus of video/audio data. Grass delivered 100M+ hours via automated pipelines, enabling training for some of the most powerful models in the market.

• Customer B required text-to-speech data where the same speakers switch languages, a current gap in the industry. Grass built pipelines to detect multilingual audio tailored to their needs, delivering curated datasets that power dubbing and translation.

• Customer C required curated video data to fine-tune smaller models. Grass provided access to billions of indexed videos with metadata filtering, allowing the client to fine-tune smaller models that achieve large-model performance for specific use cases at a fraction of the cost.

2025 has been about pushing the limits of what the network can accomplish. None of it would exist without the users of Grass, and we look forward to continuing to build a more open internet together.

[Grass @grass]

2025 has been about shipping. Here’s where Grass stands today:

Network
• 8.3M users have run an active node in the last 30 days.
• 1M+ concurrent user connections.
• Currently retrieving 3PB per day, driven by customer demand.

Infrastructure
• Storage system now running at 10% of hyperscaler cost with 2x the throughput capacity.
• Tape-based archival solution, built for 30-year durability, is 50-60% cheaper than hyperscalers’ cold storage tiers. Compute stack operating at up to 95% lower cost than cloud providers. These solutions provide full retrieval control, avoid vendor lock-in and also eliminate egress fees.
• Grasshopper hardware launching soon, designed to offer consistent uptime and throughput, strengthening reliability across the network.

Products
• Dataset catalog has grown to 4B+ multimodal files, 300M+ hours of audio, and trillions of tokens of text, with custom enrichments available across all datasets.
• Pre-configured industry datasets (finance, retail, staffing, AI) are being listed in data marketplaces for direct access.
• ClipTagger live on @inference_net and HuggingFace, outperforming larger models like Claude 4 and GPT-4.1 on standard annotation metrics like ROUGE and BLEU.
• Video search beta enables transcript, semantic, and keyframe-level discovery across billions of videos, currently in testing with enterprise and research partners.
• High-volume APIs (including SERP and web video retrieval) in development.

With these structures in place and continuously growing, Grass delivers the retrieval and processing of web-scale data with an efficiency, cost-effectiveness and speed that surpasses what centralized providers can deliver.

[DiversityHD | 0xChain @hd_diversity]

@kondis1987 @GigaBuds_ @grass Konda richest guy i know 😶‍🌫️

[Grass @grass]

ICYMI ClipTagger is live for demo testing.

Upload or paste any image and see the model generate annotations.

Reply with your outputs and we’ll retweet the best ones: https://t.co/AZRghYXgpV

[Sergeant Lazo | 0xChain @Sgt_Lazo]

🔥 Now this is what it’s all about!

A real glimpse into what the project actually does ..
and a clear use case in action. 🚀👀

@grass @grassfdn $GRASS

[Andrej @0xdrej]

you can try cliptagger for yourself! upload any image or video frame and run.

generation takes a few minutes right now but this'll be blazing fast once we swap in @inference_net on the backend.

fun fact, this powers our video search.

https://t.co/R5jDKyo26Y

[Inference @inference_net]

Introducing ClipTagger-12b.

A state-of-the-art video annotation model trained in collaboration with @grass.

ClipTagger-12b delivers video annotation capabilities on par with Claude 4 and GPT-4.1 at 17x lower cost.

Learn more: https://t.co/nzU58qw9Dk

[DiversityHD | 0xChain @hd_diversity]

@iineessi Gm! ☀️

[Grass @grass]

GRASS is live on @RevolutApp.

Trade directly in-app with ultra-low fees and seamless on/off ramps. Available in the UK and EEA.

[Grass @grass]

We’re showcasing select projects built at Grass in a new mini‑series. The first post explores how we’re using ML to improve data labeling and filtering so customers get exactly what they need without complex one‑off pipelines.

Read more: https://t.co/IcTookqKAM

[DiversityHD | 0xChain @hd_diversity]

@ElnSolana E5VPVinKVEN8dhboNmeQp5WeBJLtywXURbfarL1yu1be lfg