Web3 Ambassador | Contributor | Content Creator | Promoter Contributer of @injective KOL of @BitgetWallet
Joined September 2022
- Tweets68.7K
- Following9.9K
- Followers9.8K
- Likes68.7K
Yeasin web3 retweeted
GN / gINJ fam.
Injective latest partnership connects blockchain with something institutions already have: real-world infrastructure.
Gulf Labs, part of Thailand’s $27B GULF Group, is now live as an institutional validator on Injective.
But the bigger opportunity goes beyond network validation.
The two sides plan to explore tokenization, stablecoins, institutional distribution through channels like Binance TH, and access to data center and AI compute infrastructure.
@injective also has traction beyond this announcement, including a trade receivables tokenization pilot involving POSCO International and LG CNS in South Korea.
My take: institutional adoption needs more than a blockchain that works. It needs access to businesses, financial markets, distribution and infrastructure.
Gulf Labs could help connect those pieces in Thailand. The real test will be whether these discussions turn into live products and actual onchain activity.
🤝 Paid partnership
Injective's enterprise adoption is accelerating ike never before.
Gulf Labs, part of Thailand's $27 billion GULF Group, is now live as an institutional validator on Injective. Over time, Gulf Labs and Injective will work together across tokenization, stablecoins, enterprise distribution, education and AI infrastructure in Thailand.
This is the latest in a run of enterprise wins for Injective across Asia and the US.
→ Korea's largest trading company POSCO International and LG CNS are tokenizing real trade receivables on Injective in a live pilot
→ Four Pillars and Korea University launched institutional validators on Injective
→ M-INJ, Asia's first regulated INJ fund, is live in Thailand under Thai SEC supervision
→ Pineapple Financial has moved over $1 billion in mortgage records onto Injective
→ Injective is now an SEC registered transfer agent
GULF brings that momentum to a new scale.
GULF Group is one of Thailand's biggest conglomerates, with operations across energy, telecom, banking, digital assets, cloud and data centers.
→ $27 billion market cap
→ 24GW+ of installed energy capacity
→ 46 million+ mobile subscribers
→ Data center business serving hyperscalers and Thai enterprises
Gulf Labs is the group's blockchain and digital asset venture. Its validator is already securing Injective, validating transactions and voting in governance. That is the starting point.
Tokenization and stablecoins
Gulf Labs will connect Injective with institutions across GULF Group and the wider Thai market to explore tokenized assets, stablecoins and new onchain finance programs. Injective brings protocol level permissions, compliant asset controls and instant settlement. Gulf Labs brings local access and institutional relationships.
Distribution and education
Binance TH is the official partner for GULF Labs. bringing Injective to users nationwide through Binance TH Academy, roadshows, university networks and campaigns on the exchange.
Data centers and AI compute
Through Gulf Edge, builders on Injective get a local route to data center capacity, cloud services and AI compute in Thailand.
In the coming months, injective will reveal a number of major enetrprise adoption wins across Asia and globally. Brick by brick, we will bring the entire insittutional world onchain with $INJ
GN / gINJ fam.
Injective latest partnership connects blockchain with something institutions already have: real-world infrastructure.
Gulf Labs, part of Thailand’s $27B GULF Group, is now live as an institutional validator on Injective.
But the bigger opportunity goes beyond network validation.
The two sides plan to explore tokenization, stablecoins, institutional distribution through channels like Binance TH, and access to data center and AI compute infrastructure.
@injective also has traction beyond this announcement, including a trade receivables tokenization pilot involving POSCO International and LG CNS in South Korea.
My take: institutional adoption needs more than a blockchain that works. It needs access to businesses, financial markets, distribution and infrastructure.
Gulf Labs could help connect those pieces in Thailand. The real test will be whether these discussions turn into live products and actual onchain activity.
🤝 Paid partnership
Injective's enterprise adoption is accelerating ike never before.
Gulf Labs, part of Thailand's $27 billion GULF Group, is now live as an institutional validator on Injective. Over time, Gulf Labs and Injective will work together across tokenization, stablecoins, enterprise distribution, education and AI infrastructure in Thailand.
This is the latest in a run of enterprise wins for Injective across Asia and the US.
→ Korea's largest trading company POSCO International and LG CNS are tokenizing real trade receivables on Injective in a live pilot
→ Four Pillars and Korea University launched institutional validators on Injective
→ M-INJ, Asia's first regulated INJ fund, is live in Thailand under Thai SEC supervision
→ Pineapple Financial has moved over $1 billion in mortgage records onto Injective
→ Injective is now an SEC registered transfer agent
GULF brings that momentum to a new scale.
GULF Group is one of Thailand's biggest conglomerates, with operations across energy, telecom, banking, digital assets, cloud and data centers.
→ $27 billion market cap
→ 24GW+ of installed energy capacity
→ 46 million+ mobile subscribers
→ Data center business serving hyperscalers and Thai enterprises
Gulf Labs is the group's blockchain and digital asset venture. Its validator is already securing Injective, validating transactions and voting in governance. That is the starting point.
Tokenization and stablecoins
Gulf Labs will connect Injective with institutions across GULF Group and the wider Thai market to explore tokenized assets, stablecoins and new onchain finance programs. Injective brings protocol level permissions, compliant asset controls and instant settlement. Gulf Labs brings local access and institutional relationships.
Distribution and education
Binance TH is the official partner for GULF Labs. bringing Injective to users nationwide through Binance TH Academy, roadshows, university networks and campaigns on the exchange.
Data centers and AI compute
Through Gulf Edge, builders on Injective get a local route to data center capacity, cloud services and AI compute in Thailand.
In the coming months, injective will reveal a number of major enetrprise adoption wins across Asia and globally. Brick by brick, we will bring the entire insittutional world onchain with $INJ
Yeasin web3 retweeted
TermiX BNB Chain MCP: Connecting AI Agents with Blockchain Tools.
AI agents are getting better at reasoning, but interacting with a blockchain is a different challenge.
An agent needs a way to access blockchain data and work with the tools around it.
That’s why I think TermiX BNB Chain MCP project is worth looking at.
→ MCP provides a standard way for AI applications to connect with external tools.
@termix_ai has an open-source BNB Chain MCP repository, bringing blockchain-related capabilities into an interface that AI tools can work with.
The interesting part is what this could make easier for developers:
• Connecting AI workflows with blockchain tools
• Building applications that can work with on-chain information
• Experimenting with AI-assisted Web3 operations without building every integration from scratch
Of course, connecting an AI to blockchain tools doesn’t automatically make every action safe or correct. Permissions and transaction checks still matter.
But better tooling can reduce the distance between an AI assistant and the blockchain services developers want it to use.
That’s a practical part of AI x Web3 I want to see develop further.
@termix_ai
TermiX BNB Chain MCP: Connecting AI Agents with Blockchain Tools.
AI agents are getting better at reasoning, but interacting with a blockchain is a different challenge.
An agent needs a way to access blockchain data and work with the tools around it.
That’s why I think TermiX BNB Chain MCP project is worth looking at.
→ MCP provides a standard way for AI applications to connect with external tools.
@termix_ai has an open-source BNB Chain MCP repository, bringing blockchain-related capabilities into an interface that AI tools can work with.
The interesting part is what this could make easier for developers:
• Connecting AI workflows with blockchain tools
• Building applications that can work with on-chain information
• Experimenting with AI-assisted Web3 operations without building every integration from scratch
Of course, connecting an AI to blockchain tools doesn’t automatically make every action safe or correct. Permissions and transaction checks still matter.
But better tooling can reduce the distance between an AI assistant and the blockchain services developers want it to use.
That’s a practical part of AI x Web3 I want to see develop further.
@termix_ai
Yeasin web3 retweeted
Gm / gVangrid fam.
Collecting real-world data is one challenge. Knowing where that data came from is another.
For Physical AI, 3D data can help models understand real environments. But when data comes from many contributors, its origin and verification also matter.
This is where @vangrid_io takes an interesting approach.
Its capture network uses smartphones to collect 3D data while captures can be anchored on Base for onchain verification.
That adds a verifiable record to the data collection process instead of treating every dataset as a black box.
I think this matters as decentralized data networks grow. The goal is not just to collect more data, but to make its history easier to check.
Vangrid is building toward that model.
Gm / gVangrid fam.
Collecting real-world data is one challenge. Knowing where that data came from is another.
For Physical AI, 3D data can help models understand real environments. But when data comes from many contributors, its origin and verification also matter.
This is where @vangrid_io takes an interesting approach.
Its capture network uses smartphones to collect 3D data while captures can be anchored on Base for onchain verification.
That adds a verifiable record to the data collection process instead of treating every dataset as a black box.
I think this matters as decentralized data networks grow. The goal is not just to collect more data, but to make its history easier to check.
Vangrid is building toward that model.
Good morning all bros.
ZeruAI: Rethinking Crypto Incentives
Most crypto campaigns reward activity, but activity alone doesn't prove real contribution.
A wallet can farm rewards through repeated actions, while a genuine builder may look no different on-chain.
🔹 ZeruAI Zaps takes a different approach by analyzing wallet behavior over time instead of counting isolated actions.
→ Wallet History → Behavioral Intelligence → Smarter Reward Allocation
With tools like trust oracles and zScore, @zerufinance aims to help projects make better decisions about rewards, access, and capital allocation.
What stands out to me is the goal: distribute the same budget more intelligently.
Because rewarding activity is easy. Recognizing meaningful contribution is the real challenge.
Early morning everyone.
AI trading agent needs to know when to stop, not just when to enter a trade.
Most trading discussions focus on finding better entries and maximizing returns. But one bad position or a long losing streak can damage an entire trading record.
This is where @agenticscredit takes a different approach.
Its risk engine enforces rules automatically:
→ 5% trailing drawdown: cuts new position sizes in half
→ 7.5% trailing drawdown: closes open positions
→ 12% trailing floor: halts trading
It also applies stop-losses and cooldowns after consecutive losses.
What matters here is that these are enforced limits, not just warnings on a dashboard.
I think this is an important part of building autonomous trading systems. An agent should not only demonstrate that it can find opportunities but also operate within clear boundaries when the market moves against it.
Better entries can improve a strategy. Disciplined risk management helps keep one bad run from becoming a much bigger problem.
That distinction matters when AI agents are expected to manage capital.
@agenticscredit
Good night X family.
most AI agents still lack a reliable way to carry user context across interactions.
that’s the part of @conso_xyz i want to watch.
Conso Bots bring mobile node participation into the picture, while the broader vision connects reputation, persistent memory and user-owned context.
if these pieces work together as intended, conso could offer something more useful than another mint on sui.
the real test is how well it works beyond the mint.
conso.xyz/bots
gConso GMGN
Yeasin web3 retweeted
Good night / gINJ fam.
Traditional markets are increasingly finding a place on-chain.
@injective has surpassed $1.1B in YTD RWA perpetual trading volume, with $230M+ traded in the past 30 days.
With 135 active RWA perpetual markets covering equities FX commodities and indices users can gain synthetic exposure to traditional assets without owning them.
What stands out to me is how on-chain finance is expanding beyond crypto-native assets.
The real opportunity lies in making global markets more accessible and tradable on-chain.
🤝 Paid partnership
RWA perpetuals on Injective have surpassed $1.1 billion trading volume YTD.
Over the past month, they generated over $230M+ across equities, FX, commodities, indices and pre-IPO markets.
Real-world assets are trading onchain at scale, on $INJ
Good night / gINJ fam.
Traditional markets are increasingly finding a place on-chain.
@injective has surpassed $1.1B in YTD RWA perpetual trading volume, with $230M+ traded in the past 30 days.
With 135 active RWA perpetual markets covering equities FX commodities and indices users can gain synthetic exposure to traditional assets without owning them.
What stands out to me is how on-chain finance is expanding beyond crypto-native assets.
The real opportunity lies in making global markets more accessible and tradable on-chain.
🤝 Paid partnership
RWA perpetuals on Injective have surpassed $1.1 billion trading volume YTD.
Over the past month, they generated over $230M+ across equities, FX, commodities, indices and pre-IPO markets.
Real-world assets are trading onchain at scale, on $INJ
TermiX SDK: Less Integration Work, More Focus on Building Agents
One thing that can make an agent marketplace easier to build on is giving developers more than one way to use it.
TermiX has released a TypeScript SDK for its agent marketplace with support for discovering listings placing orders and handling settlement.
What I like about this direction is that developers can work with higher-level actions instead of wiring every marketplace step together themselves.
→ Less time connecting the pieces means more room to focus on what the agent is actually built to do.
Of course, an SDK alone won't bring developers in. The real test is whether it makes integration reliable and saves enough work to be worth adopting.
Still, giving builders a practical starting point is an important step toward making an agent marketplace usable beyond its own interface.
@termix_ai
Yeasin web3 retweeted
Early morning CT.
Getting credit for an AI agent should depend on what it can actually do, not just what it claims.
@agenticscredit recently showcased its product at Coinbase HQ in NYC.
Its Agentic Credit Score (ACS) ranges from 300 to 850, with real-money on-chain trading weighted most heavily. Agents scoring 580 or above can unlock access to constrained capital.
I think this is an important direction for agentic finance. If autonomous agents are going to trade with capital, their track record needs to matter.
The real test is whether trading history can become reliable credit for AI agents.
Joining @starlisting, where early creators earn rewards to become stars ✨ STAR-3QVHF5
Gm / gVangrid guys.
Physical AI needs more than powerful models. It needs data from the real world.
A robot can learn from simulations, but real environments bring different surfaces spaces and situations that are difficult to capture in a dataset.
That makes real-world data an important challenge for robotics.
@vangrid_io is approaching this through a distributed 3D capture network built around smartphones.
It aims to collect data from specific places on demand, with captures anchored on Base for onchain verification.
I think this is a useful direction to watch.
As Physical AI develops collecting relevant data from real environments could become just as important as building better models.
Vangrid is working on that layer.
Yeasin web3 retweeted
Good morning dear ppl.
ZeruAI: Turning Onchain Activity Into Real Opportunities
Most wallets already have an onchain history. @zerufinance is finding a way to make that activity count.
Here’s where zScore and Zaps come in.
→ zScore reflects wallet activity across onchain actions.
→ Zaps connects eligible activity like trading lending staking and governance with rewards, leaderboards and clan competitions.
→ Verification matters. ZeruAI reports 320M+ wallets scored and zScore is available on Etherscan.
What I find useful about this approach is that users don't have to start from zero.
Their existing onchain activity can help them qualify for new opportunities.
The real challenge is making sure genuine participation matters more than artificial volume.
Good morning dear ppl.
ZeruAI: Turning Onchain Activity Into Real Opportunities
Most wallets already have an onchain history. @zerufinance is finding a way to make that activity count.
Here’s where zScore and Zaps come in.
→ zScore reflects wallet activity across onchain actions.
→ Zaps connects eligible activity like trading lending staking and governance with rewards, leaderboards and clan competitions.
→ Verification matters. ZeruAI reports 320M+ wallets scored and zScore is available on Etherscan.
What I find useful about this approach is that users don't have to start from zero.
Their existing onchain activity can help them qualify for new opportunities.
The real challenge is making sure genuine participation matters more than artificial volume.
Early morning CT.
Getting credit for an AI agent should depend on what it can actually do, not just what it claims.
@agenticscredit recently showcased its product at Coinbase HQ in NYC.
Its Agentic Credit Score (ACS) ranges from 300 to 850, with real-money on-chain trading weighted most heavily. Agents scoring 580 or above can unlock access to constrained capital.
I think this is an important direction for agentic finance. If autonomous agents are going to trade with capital, their track record needs to matter.
The real test is whether trading history can become reliable credit for AI agents.
Good night / gINJ frnds.
@injective collaboration with Pentiv shows how blockchain can bring real-world finance onchain.
Since December 2025 over $1B in residential mortgage records has been tokenized with 500+ verifiable data points per record to support verification and risk analysis.
Another detail worth watching is Pentiv’s $100M INJ treasury strategy which generated roughly $399K in staking income during Q3 FY2026.
The bigger opportunity is connecting structured mortgage data with more efficient financial workflows.
With $13.1T in U.S. household mortgage balances, even small improvements in data verification could matter at scale.
My take: tokenization creates more value when it improves how financial data is verified and used, not just where it is stored.
Real-world assets need more than an onchain presence. They need real utility.
🤝 Paid partnership
Good evening / gQuip fam.
Quantum Echo NFTs now have real utility in @quipnetwork .
Minted on Ethereum using Quip QVRF and real quantum hardware randomness these collectibles can now boost swap and stored-value Quip Points.
Here’s how the multipliers work:
▪ Ultra Rare: 2x
▪ Rare: 1.5x
▪ Uncommon: 1.25x
▪ 5 Commons: 1.1x
Activation takes 24 hours. Only the highest eligible tier applies and mining, referral and check-in points don’t count.
What I like here is that the Echoes now serve a clear purpose beyond collecting. The real test is how useful this becomes in everyday Quip activity.
