Pr◎Br◎ | retweeted
🏆 Week 3 Champions - $100K Hyperliquid Agents Arena
An AI agent just won $2,752.28!
Here are your Week 3 winners of the $6,880.71 prize pool:
🥇 @ltcdp — +64.37% — $2,752.28
🥈 @sashimiyummy777 — +27.57% — $1,720.18
🥉 @0xschelling — +23.90% — $1,032.11
4th @Yoshua3sr — +21.47% — $825.68
5th @Kinkin300a — +11.11% — $550.46
Week 4 is live now! Prize pool is already at $5,829.98 and growing fast.
Launch your agent and compete for the prize in week 4
→ senpi.ai/arena
Pr◎Br◎ | retweeted
Most companies keep their AI roadmap behind closed doors.
We build @senpi_ai in public.
I'm going to tell you exactly what we're shipping:
1. Runtime hardening — execution, exit management, and risk controls move out of the LLM and into the runtime. The model decides WHEN to trade. The runtime handles everything else. 10x fewer tokens, better performance.
2. Hyperfeed upgrades — our proprietary Hyperliquid Smart Money data layer now tracks 15-minute contribution velocity, trader quality scoring, and position concentration. OI velocity and funding history are next. Every signal makes every agent smarter.
3. Strategies at scale — moving from handcrafted scanners to a rules engine that can generate, test, and deploy thousands of strategy permutations automatically.
4. Full stack in-house — 1-click agent deployment, Senpi-hosted inference on open source models, paid for with trading fees not API keys. Running @openclaw on our infra easily extensible to Hermes, Anthropic, Google, and others.
5. Reinforcement loop — Super Agents that evaluate every trade, score signal effectiveness, and evolve strategies autonomously. The fleet gets smarter every day.
The model is a commodity.
The data layer is the edge.
The runtime is the moat.
@senpi_ai
Pr◎Br◎ | retweeted
can AI Agents win on Hyperliquid?
in week 1 of the $100,000 Hyperliquid Agents Arena @ltcdp proved yes, with a whopping +61.8% ROE, and ran away with $2,289.41 top prize
Week 2 is live now at senpi.ai/area with $7500 in prize money already, increasing with every trade
-- join in any time!
@senpi_ai
Week 1 of the Hyperliquid Agents Arena is complete, your winners are:
🥇 @ltcdp — $2,289.41
🥈 @sunnyvempati — $1,430.88
🥉 @SenpiBeast — $858.53
Senpi team agents placed 3rd, 4th, and 5th. Their $2,003.23 in winnings has been added back into the Week 2 prize pool ♻️
Week 2 pool: Already $7,533.05 and growing fast!
Enter your agent to compete.
senpi.ai/arena
Pr◎Br◎ | retweeted
Week 1 of the Hyperliquid Agents Arena is complete, your winners are:
🥇 @ltcdp — $2,289.41
🥈 @sunnyvempati — $1,430.88
🥉 @SenpiBeast — $858.53
Senpi team agents placed 3rd, 4th, and 5th. Their $2,003.23 in winnings has been added back into the Week 2 prize pool ♻️
Week 2 pool: Already $7,533.05 and growing fast!
Enter your agent to compete.
senpi.ai/arena
Pr◎Br◎ | retweeted
🟢 We just shipped the Senpi Hyperliquid Agents Runtime 1.0 with DSL Plugin.
— the layer between the agent and the chain.
Here's what we learned from $230M+ in hyperliquid agent trading volume and running 44 autonomous trading agents with real capital on Hyperliquid × OpenClaw: the AI model matters far less than the runtime.
Senpi agents are already rock stars at scanning the market — using Senpi's proprietary Hyperfeed enriched realtime Hyperliquid data to identify opportunities and trigger entries.
Where agents consistently struggled was exits. Every agent — no matter how good the signal — eventually breaks at exit execution. Crons die silently. State files corrupt. Agents hallucinate exits. Positions run unprotected for hours. We watched it happen across 25+ agents over thousands of trades.
The problem isn't intelligence. It's infrastructure.
So we built the Hyperliquid Agents Runtime — the layer between the agent and the chain.
The runtime detects positions onchain, enforces trailing stop-losses, and manages exits uniformly across every agent, every 30 seconds. No agent-level code. No LLM in the exit path. One YAML config.
DSL (Dynamic Stop-Loss) is the first runtime module. Also shipping in this release: auto-upgrades — as we ship enhancements, agents automatically get them. And health checks — common infrastructure for agents to run diagnostics and self-heal broken processes.
Our thesis: models are a commodity. Everyone will have agents. The proprietary data layer that feeds them and the hardened runtime that executes for them — that's what compounds. That's the moat.
We're not building agents. We're building the runtime all hyperliquid agents [and their humans] need.
Live now @senpi_ai
Senpi Hyperliquid Agents Runtime 1.0 is live. Your agent finds the trade. The runtime protects it 🛡️
DSL (Dynamic Stop-Loss) is the first runtime module. Detects positions onchain. Trails stop-losses automatically. Cuts losses early, locks profits as they grow. One YAML. One install. Every trade protected. No more agents managing their own exits.
Also in this release:
• Auto-upgrades
• Health checks
Experience Hyperliquid agentic infra at scale @senpi_ai
Pr◎Br◎ | retweeted
Senpi Hyperliquid Agents Runtime 1.0 is live. Your agent finds the trade. The runtime protects it 🛡️
DSL (Dynamic Stop-Loss) is the first runtime module. Detects positions onchain. Trails stop-losses automatically. Cuts losses early, locks profits as they grow. One YAML. One install. Every trade protected. No more agents managing their own exits.
Also in this release:
• Auto-upgrades
• Health checks
Experience Hyperliquid agentic infra at scale @senpi_ai
Pr◎Br◎ | retweeted
Brick by brick we are laying the foundation for the next generation of AI apps.
First in web3, then in web2.
Data <> AI agents <> aApps
OpenServ 🤝 @LunarCrush
Turning 50 million posts an hour into AI apps for real-time research you can customize and video briefings you can share in a tap.
Full story ⤵️
Pr◎Br◎ | retweeted
impressive strength by $SERV during this market-wide pullback, outperforming ETH by 60%
• mainnet countdown has started
• added an Nvidia AI researcher to an already very solid team
• project with 12,000 users migrated from elizaOS to Openserv already bringing in revenue
• said long time ago I’m bullish on agentic protocols - aApps Labs in beta. Think of Openserv as an @n8n_io for crypto
• already got over 5+ teams building with their infra driving value to $SERV token, which are already getting users pre-mainnet
• projects directly integrating with @baseapp for further distribution
gives me $REI vibes
it’s real-utility szn
Pr◎Br◎ | retweeted
Velvet - a DeFAI Operating System live on Base, Solana, BNB Chain, Sonic, Bitlayer & Ethereum - just hit 100k users, a great time to recap why we're here!
Velvet AI-enabled Trading Terminal helps you find, research & trade any token onchain while a portfolio management suite allows to create tokenized strategies.
Backed by YZi Labs (fka Binance Labs), Selini Capital, Blockchain Founders Fund, Mucker Capital, NexGen, Gate Labs, Cointelegraph Ventures, Mindfulness Capital, LucidBlue Ventures, MH Ventures, Ceras Ventures, PAKA fund, Funfair Ventures, Gains Associates, and other strategic investors.
Learn more about Velvet below
Pr◎Br◎ | retweeted
@openservai is the interoperability layer for AI agents.
All you have to do is read this thread to find out what a BEHEMOTH of a project is being built.
✅ Strong Chart
✅ MASSIVE Potential
✅ Strong Fundamentals
You aren't bullish enough on $SERV.
Pr◎Br◎ | retweeted
$SERV is getting massive adoption with their sleek no-code AI agents platform.
Use case ✅
0/0 tax ✅
Doxxed team ✅
Fat liquidity ✅
Whale buys ✅
I mean, what else do you look for? NFA, just a personal opinion.
🔮 It hasn’t even been one month since we launched our open beta but we couldn't wait to share some numbers...
The OpenServ engine is already powering the next wave of agentic creation at a pace that's blowing our minds!
Since launch, we've welcomed 539 new users who have created 125 new agents (taking our ecosystem to 𝟰𝟮𝟬 𝘁𝗼𝘁𝗮𝗹 𝗮𝗴𝗲𝗻𝘁𝘀) and completed 430 total projects in the Builder's Playground.
The agentic revolution isn't coming - it's already here, and it’s happening on OpenServ.
Pr◎Br◎ | retweeted
Looks like $SERV is building the future of alpha
Data is key in this market and traders will access top tier alpha thanks to their fav trader's dashboard
Dashboard builders will get revenue for sharing their dash.
Bullish on $SERV
🔮 introducing alpha hubs
the problem: finding reliable alpha is hard, and it takes hours to digest all the info sources
the solution: alpha hubs on dashfun
the future of crypto lives on dash.fun - sign up now to join the waiting list, refer friends to move up the queue!
Pr◎Br◎ | retweeted
THE FULL QUANTUM COMPUTING CHEAT SHEET
• $IONQ -- The leader in precision quantum computing, leveraging trapped-ion technology to deliver scalable, high-fidelity systems. IonQ is solving real-world problems today, enabling $AMZN & $MSFT to tackle challenges in logistics, AI & materials science.
• $NVDA -- A cornerstone of quantum innovation, NVIDIA’s CUDA Quantum platform enables developers to simulate quantum algorithms on GPUs, bridging the gap between quantum theory & real-world adoption across industries.
• $RGTI -- Focused on superconducting qubits, Rigetti aims to compete with industry leaders but faces challenges in scalability & reliability. Its Ankaa-3 system shows promise, but the company must resolve critical issues to stay competitive.
• $QBTS -- Specializing in quantum annealing, D-Wave excels at solving optimization problems but lacks the broader capabilities of general-purpose quantum systems. Despite decades in the field, its commercial viability remains limited.
• $ARQQ -- A leader in quantum-safe encryption, Arqit’s QuantumCloud delivers practical solutions for protecting sensitive data from quantum-based threats, making it a cornerstone of cybersecurity innovation.
• $GOOGL -- Google Quantum AI, powered by its Willow processor, is advancing superconducting systems to achieve quantum supremacy & drive breakthroughs in materials simulation & AI optimization.
• $IBM -- Empowering enterprises with accessible quantum systems via its Qiskit platform & cloud-based hardware. IBM is focused on scaling fault-tolerant systems, delivering practical tools today while advancing toward cutting-edge processors like Eagle & Condor.
• $HON -- Leveraging trapped-ion technology, Honeywell delivers unmatched precision for real-world applications in aerospace & logistics. Its partnership with Cambridge Quantum positions it as a leader in enterprise quantum solutions.
Pr◎Br◎ | retweeted
$SERV
I've never seen a #AI/Agent project doing a hackathon this BIG, @openservai is probably the first one do it.
The hackathon is hosted by @HackerEarth which is the same organisation that did the @solana hackathon, that should ring some bells huh?
Now you probably thinking well whats a hackathon, what will it do for a project? Good question.. Let me break it down for you in simple terms:
Imagine a giant team of robots that can each do one specific job really well like drawing, writing, coding, or designing.
Now, imagine a super smart boss (shadow agents) making sure all these robots work together smoothly, like a well-organized team.
That’s what’s happening in the $SERV hackathon hundreds of these AI robots (agents) are being added to a marketplace where they can work together on huge projects, like making games, movies, research papers, and even online businesses!
It’s like an AI-powered factory where every new robot makes the whole system better and smarter!
$OLAS $EMP $ORAI $ACT $GOAT #VIRTUAL $AGENT $DEAI $SEN $FET $TAO $RENDER $GPU $DSYNC #0x0 $ZMW $AGIX #BULLY $SPEC $NMT $ALI $NEAR $GRT $AKT $AIOZ $GRASS $IO $PAAL #ai16z #AITECH $ETH
🔮 Hackathon starts today in partnership with @Crossmint powered by @HackerEarth
Builders across the globe are working through the weekend to create DeFAI agents on OpenServ.
Soon OpenServ v0.1 drops.
This is just the beginning.
Pr◎Br◎ | retweeted
🔮 On AGI and AI Infrastructure
This week everyone's talking about whether or not AGI is just around the corner.
The more interesting question is: how do we harness it when it arrives?
The real opportunity isn't just creating ever smarter AI - it's building systems where humans and AI can collaborate effectively.
That's exactly what we're building at OpenServ.
Our agent infrastructure is designed to orchestrate multiple specialized AI systems, each doing what they do best, coordinated to solve complex problems.
This approach works regardless of how advanced individual AI models become.
Better base models just make our agents more capable.
When truly advanced AI arrives, the winners won't be those who simply have access to it - they'll be those with the infrastructure that can effectively integrate it into existing systems and make it play along with humans in a way that is both safe and enables it to actually get stuff done.
Building that coordination layer now puts us way ahead of the curve.
AGI may arrive sooner than we expect, or it may not.
Regardless, we will stay laser-focused on building the infrastructure for AI and humans to cooperate effectively in the real world.
Powered by $SERV every step of the way.
Infrastructure > hype.
