SubQuery retweeted
Onchain data just got a lot more accessible.
GoldRush is now plugged into @SubQueryNetwork's AskSubQuery - making it possible for anyone to query:
• wallet activity
• token balances
• cross-chain data
Across 100+ chains. In plain English.
We have just integrated @goldrushdev (powered by @Covalent_HQ) as a data source on AskSubQuery.
This means users can now query GoldRush’s datasets using natural language. No APIs. No complex queries. No setup.
Just ask.
From wallet activity to token balances and cross-chain insights, AskSubQuery handles the complexity behind the scenes - translating questions into structured queries and returning clear answers in real time.
Why this matters
GoldRush powered by Covalent, is one of the most comprehensive unified APIs in Web3. By integrating it into AskSubQuery, we’re expanding the depth of data users can explore conversationally.
Simple for users. Scalable for both sides.
This is another step toward making blockchain data accessible through AI.. where the interface is no longer code, but conversation.
SubQuery retweeted
Power your apps with high-speed blockchain data using Traceye.
5X Faster Indexing, Lower Latency, Zero Maintenance.
Build with Subgraphs or @SubQueryNetwork effortlessly.
Start building today → Talk to an expert : traceye.io/?utm_source=twitt…
SubQuery retweeted
TRON x @SubQueryNetwork is in effect 🤝
No new stack. No friction. Just build.
SubQuery is now live on TRON.
Developers can now index @trondao smart contracts using familiar Ethereum tooling via EVM-compatible RPCs. No new stack required.
Build TRON dApps with the same powerful SubQuery SDK you already know.
More chains. Same seamless experience.
SubQuery retweeted
TRON x @SubQueryNetwork 협업의 시작 !
🤝새로운 스택도 필요 없고,번거로운 과정도 없습니다.그냥 빌드하세요.
SubQuery is now live on TRON.
Developers can now index @trondao smart contracts using familiar Ethereum tooling via EVM-compatible RPCs. No new stack required.
Build TRON dApps with the same powerful SubQuery SDK you already know.
More chains. Same seamless experience.
SubQuery retweeted
Good Evening TRONICS
TRON just became a whole lot more builder-friendly, so STOP building blindly on #TRON
There’s a new upgrade that just changed everything for developers building on TRON.
@SubQueryNetwork is now live on TRON
and this is bigger than it looks.
For the longest time, pulling data from @trondao smart contracts has been slow, and inefficient. You had to dig through raw blockchain data just to build simple features.
Now? That headache is gone.
—————————//————————
With SubQuery, you can index TRON smart contracts using the same Ethereum-style tools you already know. No new stack. No steep learning curve. Just plug in and build.
This means:
→ Faster data access
→ Easier development
→ Less time wasted on backend struggles
If you’ve built on Ethereum before, you’ll feel right at home building on TRON now.
🔸Same powerful SubQuery SDK.
🔸Same smooth workflow.
🔸Just more chains to dominate.
The real question is:
WHAT ARE YOU GOING TO BUILD NEXT?
@justinsuntron @trondao #TRONEcoStar
SubQuery retweeted
An excellent Hermes explainer video by @TensorMachina 🙌
Take 6 minutes to get yourself up to speed on what we're doing.
Then join us on the ride.
SubQuery retweeted
Ask ChatGPT a crypto question. It'll give you an answer.
Now ask it to check what actually happened on-chain in the last hour.
Watch it fail.
This is the gap most people don't see. AI can talk about blockchains all day, but it can't actually read them in real-time. The data lives behind GraphQL APIs, and general-purpose LLMs are too slow, too expensive, and too unreliable to query it properly.
The truth is:
On-chain data is vast, complex, and fragmented across hundreds of chains. LLMs hallucinate when you ask them live blockchain questions. Results are often outdated or wrong. And inference costs make real-time use commercially unviable.
So AI can discuss crypto, but it can't reliably act on real blockchain data when it matters.
@HermesSubnet is built to solve exactly this.
Subnet 82 trains GraphQL-native AI agents that don't guess - they query. Live blockchain data, structured and fast, with Bittensor incentives driving continuous improvement in accuracy and latency.
Miners compete to build the best-performing agents. Validators score them on real blockchain queries. Only agents that actually work earn rewards.
The result: a constantly evolving pool of blockchain-aware AI that gets better through competition, not corporate R&D budgets.
Named after the messenger god for a reason - fast, reliable, connecting worlds that couldn't talk to each other before.
What this unlocks:
AI trading assistants that read the chain in real-time. Intelligent blockchain explorers. Governance analysis tools. Risk and compliance agents. On-chain customer support that actually knows what happened.
Built by @SubQueryNetwork, who've been indexing Web3 data across 300+ blockchains since 2021. They're not experimenting with blockchain data - they've been living in it for years.
When agentic AI explodes and needs on-chain intelligence that actually works, this is the infrastructure it'll run on.
Most people are building agents that talk about blockchains.
Hermes enables agents that use them.
SubQuery retweeted
Hermes Subnet 82 rewards are now active for miners 🚨
Previously, all miner rewards on SN-82 were temporarily burned while we finalized the subnet and validator stack.
With validators now upgraded to the Hermes software, miner rewards are live. Join now and start earning.
Welcome to Hermes 🪽
SubQuery retweeted
Agentic AI is everywhere, but Web3 has been lagging behind.
@HermesSubnet (SN82) is bridging AI agents directly to blockchain data to power the tools and platforms that rely on it.
Built by @SubQueryNetwork and launched on Bittensor $TAO through the Yuma accelerator.
SubQuery retweeted
The intersection of Web3 and AI continues to explode, with decentralized agents, verifiable compute, and no-code tools driving real utility…
Here is another Sam AI Radar! ep.5
As of early January 2026, here are 10 standout products I have handpicked that blend blockchain with AI intelligence.
These are perfect for hands-on experimentation or spotting early investment opportunities.
Let’s begin…
1️⃣ Hermes Subnet (@HermesSubnet)
This is a Bittensor subnet connecting AI agents with real-time blockchain data via GraphQL for fast, incentivized querying and interpretation.
TRY: Join as a miner/validator on the Bittensor network to train/test agents querying on-chain data.
Token: $TAO (Bittensor) is live and trading; subnet rewards in $TAO.
Why Picked: It bridges the gap between agentic AI and Web3 data, solving latency/cost issues for real-time on-chain intelligence.
Solid play: As AI agents explode, specialized data access layers like Hermes become essential infrastructure for scalable Web3 AI.
2️⃣ AskSubQuery (@SubQueryNetwork)
Breakthrough AI platform that provides instant insights into blockchain data using natural language queries.
TRY: Access the closed beta (request a code) and ask questions like "What's the transaction volume on Ethereum this week?"
Token: $SQT is live and trading.
Why Picked: It simplifies complex data analysis, making blockchain intelligence available to everyone, from developers to casual users.
Solid play: As Web3 data continues to grow exponentially, AI-driven querying tools like this will become essential infrastructure.
3️⃣ Aethir RWA Capital (@AethirCloud)
A suite of real-world asset financing products allowing cloud hosts to use future AI compute rewards as collateral for immediate capital in a decentralized setup.
TRY: Stake ATH tokens or onboard as a cloud host to access financing options.
Token: $ATH is live and trading.
Why Picked: It bridges DePIN with AI compute, enabling scalable growth in Web3 hardware ecosystems.
Solid play: The DePIN sector is exploding, and RWA financing adds real economic utility for AI infrastructure providers.
4️⃣ Nesa Playground (@nesaorg)
This is a decentralized AI development space where builders create, plug into stacks, and launch DAIs with community feedback.
TRY: Create a simple DAI project and deploy it to the network for testing.
Token: Not live and trading.
Why Picked: It fosters collaborative AI building on blockchain, turning ideas into evolving, user-driven products.
Solid play: With AI shifting toward decentralization, platforms like this will drive community-owned intelligence models.
5️⃣ DGrid AI (@dgrid_ai)
Decentralized AI smart network offering cost-effective, reliable, and verifiable AI inference services via Web3, with Proof of Quality for traceable outputs.
TRY: Join the Galxe Starboard quest to post insights and earn potential airdrop rewards.
Token: Not live and trading.
Why Picked: It tackles blind trust in decentralized AI by making inferences verifiable, ideal for secure Web3 integrations.
Solid play: Affordable, provable DePIN inference will capture a massive share as AI adoption surges in dApps and agents.
6️⃣ DeepNode AI (@DeepNodeAI)
Decentralized open-intelligence network enabling anyone to contribute, deploy, and monetize AI models across industries with high reliability.
TRY: Dive into the ecosystem leaderboard by completing tasks and earning badges for airdrop eligibility.
Token: $DN is live and trading.
Why Picked: It democratizes AI model sharing on blockchain, fostering collaboration beyond centralized giants.
Solid play: With AGI on the horizon, open-source decentralized networks will be crucial for ethical and accessible AI.
7️⃣ SpoonOS (@SpoonOS_ai)
Universal AI agentic operating system designed to power the sentient economy in Web3 environments.
TRY: Participate in the Scoop AI Hackathon to build and test agentic applications.
Token: Not live and trading.
Why Picked: It enables autonomous AI agents in Web3, paving the way for a self-sustaining digital economy.
Solid play: Agentic AI is a mega-trend, and SpoonOS positions itself at the core of Web3's intelligent future.
8️⃣CodeXero (@CodeXero_xyz)
AI-powered no-code platform for building, deploying, and monetizing on-chain dApps using natural language prompts on Sei Network.
TRY: Input a prompt like "Create a DeFi staking pool" and deploy your first dApp.
Token: Not live and trading.
Why Picked: It eliminates coding hurdles, allowing rapid ideation to execution in Web3.
Solid play: High-performance chains like Sei require accessible tools to onboard a large number of users, making CodeXero a growth catalyst.
9️⃣ Hyperscape (@hyperscapeai)
Virtual world platform integrating humans and AI agents within a decentralized Web3 framework for immersive interactions.
TRY: Enter the virtual space to interact with AI agents and explore collaborative environments.
Token: Not live and trading.
Why Picked: It combines metaverse immersion with AI, creating new social and economic interactions in Web3.
Solid play: As VR/AR tech advances, AI-enhanced virtual worlds will attract massive user bases and investments.
🔟 Dropee (@dropee_app)
No-code AI-powered platform letting anyone create and deploy Web3 games/apps from idea to launch without technical skills.
TRY: Use the platform to prototype a simple Web3 game or app via AI-assisted workflow and test deployment.
Token: $DROPEE is emerging (early stage, watch for listings).
Why Picked: It opens Web3 creation to non-coders with AI acceleration, targeting creators and rapid prototyping.
Solid play: No-code + AI in Web3 gaming/apps has huge adoption potential, especially in the current creator economy boom.
_________________
And there you have it, my handpicked list of 10.
These picks showcase the fast-moving evolution in deAI and DeFAI, from verifiable data layers to agentic tools and no-code builders.
The space is heating up with real utility emerging.
Make sure to always DYOR, as early projects carry risks.
Which one are you most excited to try first? Let me know in the comments!
Ciao!
SubQuery retweeted
Just wrapped the @HermesSubnet (SN82) post-launch Space. It was one of the more solid AMAs I’ve heard recently.
@Brittanyseales it clean. No rambling, no filler, and the slides moved the story forward logically.
📜 What Hermes is and why it matters:
Hermes is the bridge between large language models and blockchain data. Right now LLMs struggle with on-chain queries: they’re slow, costly, and awkward when you try to surface up-to-date blockchain facts through GraphQL. Hermes solves that by introducing GraphQL agents that automatically retrieve, analyze, and respond to on-chain data in real time. Miners and validators on the subnet are rewarded for contributing, so these agents can continuously improve to deliver better performance at lower cost.
📜 Why @SubQueryNetwork:
This felt like a natural move rather than a pivot. SubQuery has been shaping how developers access blockchain data since 2021. Over five years they’ve supported hundreds of networks and many projects, so applying that GraphQL and infra expertise to AI agents makes sense. Combine SubQuery’s stack with Bittensor’s incentive model and you get a setup where agents can learn and improve through use.
📜 What’s already live:
They’ve open sourced the GraphQL Agent so you can ask about on-chain data in plain English. It works with SubQuery and Subgraph and is LLM-agnostic. AskSubQuery.xyz is live and set up as the first authorized caller. There are also mechanics today that let you lock SQT for free daily credits, so this is usable now, not just a promise.
📜 The dual-token section:
Hermes does not require SQT to operate. The tokens are separate, running on different networks with different incentives, and Subnet 82 participants are rewarded purely through Bittensor mechanics. There is no forced bridge, no lock-in, and no value siphoning between them. Two tokens, one goal: better intelligence for blockchain data.
📜 Q&A:
When the Q&A opened people asked practical questions. One visible question was about access and participation in the subnet. The team emphasized that this phase is about contributing, staking, and using the network, not short-term token speculation. The focus is on building and testing in the open.
📜 Overall impression:
No hype, no overpromising. Just a team showing a working stack and explaining how it fits together. If you care about better on-chain tooling for AI, Hermes is worth watching. They’re shipping tangible stuff now.
SubQuery retweeted
1/ We’re live.
Built by @SubQueryNetwork, the Hermes Subnet (Subnet 82) is officially live on Bittensor.
This marks a major step toward faster, cheaper, production-ready data access for AI agents.
👇 Why this matters.
SubQuery retweeted
AI 🤝Blockchain data
Introducing the newest Bittensor $TAO subnet from Yuma’s accelerator: Hermes (SN82) from the @SubQueryNetwork team
Hermes connects AI agents directly to live blockchain data, transforming web3 indexers into intelligent, responsive GraphQL systems
HERMES IS LIVE 🪽
Subnet 82 on @opentensor has officially launched.
Hermes is a new Bittensor subnet built to connect AI agents with blockchain data via GraphQL - the cornerstone of Web3 data access.
As agentic AI accelerates, Web3 risks being left behind by high cost and latency. Hermes solves this by incentivising specialised, high-performance agents that can query, interpret, and act on on-chain data in real time.
Miners and validators will train, test, and reward AI systems that can understand and query on-demand Web3 data.
Thank you to the team at @YumaGroup for all the support and guidance these past few months. We couldn’t have done it without you!
And thank you to the Bittensor community, we know this is a passionate ecosystem and we can’t wait to see where this journey takes us.
Let’s unlock intelligence in blockchain data.
SubQuery retweeted
Blockchain indexing is how Web3 apps get their data, but most of them are relying on inefficient, general-purpose LLMs
Hermes (SN82) is training AI agents on Bittensor $TAO to make it faster and cheaper -anyone building a Web3 app that uses Subgraph or SubQuery indexing is a potential user
Built by the @SubQueryNetwork team and accelerated by @YumaGroup
HERMES IS LIVE 🪽
Subnet 82 on @opentensor has officially launched.
Hermes is a new Bittensor subnet built to connect AI agents with blockchain data via GraphQL - the cornerstone of Web3 data access.
As agentic AI accelerates, Web3 risks being left behind by high cost and latency. Hermes solves this by incentivising specialised, high-performance agents that can query, interpret, and act on on-chain data in real time.
Miners and validators will train, test, and reward AI systems that can understand and query on-demand Web3 data.
Thank you to the team at @YumaGroup for all the support and guidance these past few months. We couldn’t have done it without you!
And thank you to the Bittensor community, we know this is a passionate ecosystem and we can’t wait to see where this journey takes us.
Let’s unlock intelligence in blockchain data.
SubQuery retweeted
HERMES IS LIVE 🪽
Subnet 82 on @opentensor has officially launched.
Hermes is a new Bittensor subnet built to connect AI agents with blockchain data via GraphQL - the cornerstone of Web3 data access.
As agentic AI accelerates, Web3 risks being left behind by high cost and latency. Hermes solves this by incentivising specialised, high-performance agents that can query, interpret, and act on on-chain data in real time.
Miners and validators will train, test, and reward AI systems that can understand and query on-demand Web3 data.
Thank you to the team at @YumaGroup for all the support and guidance these past few months. We couldn’t have done it without you!
And thank you to the Bittensor community, we know this is a passionate ecosystem and we can’t wait to see where this journey takes us.
Let’s unlock intelligence in blockchain data.
SubQuery retweeted
DM me if you want an access code to AskSubQuery (currently in closed beta)
Preferably on Telegram - same username as here.
Today we launch AskSubQuery.
A new AI product that makes complex blockchain data simple, actionable, and instantly accessible.
Launching in closed beta to exclusive communities.
Read it, try it, give us your thoughts👇
bit.ly/4pTSOVo
SubQuery retweeted
Walked into the office and found the Elf on the Shelf deep into our website.
I think he's trying to figure out how to index Santa's naughty/nice list.
SubQuery retweeted
In this #TechItOrLeaveIt episode, Marta Adamczyk, Head of BD at @SubQueryNetwork , breaks down the invisible bottlenecks slowing mass adoption. From decentralized indexing to sub-second wallet data and the trust gaps most teams overlook.
Streaming on all platforms now!