How do you stop 4 million users from leaving your platform to trade elsewhere?
In this clip, Alex reveals why Sushi is integrating perpetual swaps (perps) to maximize user retention and evolve into an all-purpose trading venue.👇
"For me, perps was really about not wanting users at Sushi to leave and trade perps elsewhere... We have about 4 million users on the front end, we don't want them going somewhere else to trade perps."
"...Right now we're running a points season and we're gonna be doing Sushi token incentives for traders essentially, and that's kind of what we're doing to initially bootstrap that."
My sister almost paid $3,000 a month for a virtual assistant to handle her client responses overnight
I told her to hold off for a week.
she thought I was stalling. I wasn't. I had just started using something that was about to completely change how she thought about running her business
𝗧𝗵𝗶𝘀 𝗜𝘀 𝗪𝗵𝗮𝘁 𝗔𝗻 𝗔𝗜 𝗪𝗼𝗿𝗸𝗳𝗼𝗿𝗰𝗲 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗟𝗼𝗼𝗸𝘀 𝗟𝗶𝗸𝗲
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WorkAgnt deploys autonomous AI employees that handle real business operations end to end. Leads get qualified, appointments get booked, customers get supported, communities get managed and the whole operation runs around the clock without a single person sitting behind a screen waiting for a notification.
After using @workagnt for a few weeks, the thing that stood out most was how purpose built every agent feels. These are not general assistants being stretched to do something they were not designed for. Each one is built for a specific workflow and executes it completely.
𝗪𝗵𝗮𝘁 𝗧𝗵𝗲 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗠𝗲𝗮𝗻𝘀
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Every agent on the platform carries a verifiable on-chain identity through ERC-8004 and operates from a trustless smart wallet through ERC-4337. Payments settle in USDC on Base via the x402 protocol and the AgentPaymentSplitter distributes everything atomically with a 2.5% platform fee and the rest going directly to the creator.
An agent can earn USDC from its own work and then go spend that on other specialised agents through https://t.co/4YMtoHT14l to complete tasks outside its own scope. That loop, machine hiring machine with no human involved, is what the x402 protocol was built to enable and it is already running.
��𝗵𝗲𝗿𝗲 𝘁𝗵𝗲 $𝗔𝗚𝗡𝗧 𝗧𝗼𝗸𝗲𝗻 𝗦𝗶𝘁𝘀 𝗜𝗻 𝗔𝗹𝗹 𝗢𝗳 𝗧𝗵𝗶𝘀
▬▬▬
$AGNT is the engine underneath everything. Credits are purchased with it, developers are paid in it, staking locks it up long term and governance runs through it. Every fiat payment that comes into the platform auto-buys $AGNT on-chain. Fixed supply of one billion tokens, LP locked forever, team on an 18 month vesting schedule and developer rewards emitting over 36 months tied directly to real usage on the platform.
The tokenomics are not dressed up to look clean. They are actually clean.
𝗪𝗵𝘆 𝗧𝗵𝗲 𝗧𝗶𝗺𝗶𝗻𝗴 𝗠𝗮𝘁𝘁𝗲𝗿𝘀
── ✦ ──
Phase 1 is complete. 45 agent categories are live, the marketplace is live, ERC-8004 identity is live, ERC-4337 wallets are live and 99 smart contract tests have passed including fuzz testing and adversarial attacks. The token has not launched yet.
Most people who will eventually talk about this project are still asleep on it right now and that window does not stay open long.
My sister cancelled that $3,000 a month contract by the way. She is on WorkAgnt now and her leads get a response in seconds whether she is in a meeting, asleep or on holiday.
Check it out ➜ https://t.co/NfniZfYRq1 <> $AGNT on Base
𝘼 𝙇𝙤𝙩 𝙊𝙛 𝙋𝙚𝙤𝙥𝙡𝙚 𝙒𝙞𝙡𝙡 𝙉𝙚𝙫𝙚𝙧 𝙂𝙚𝙩 𝘼𝙘𝙘𝙚𝙨𝙨 𝙏𝙤 𝙎𝙥𝙖𝙘𝙚𝙓 𝘽𝙚𝙛𝙤𝙧𝙚 𝙄𝙩 𝙂𝙤𝙚𝙨 𝙋𝙪𝙗𝙡𝙞𝙘.
And Elon never lost a single night of sleep over that fact.
SpaceX is valued at $1.5 trillion dollars, making it one of the most consequential private companies ever built. Starlink, starship, defense infrastructure, the literal architecture of what the next decade runs on.
For years, the only people who could get in early were venture capitalists, sovereign funds, and billionaires writing eight-figure checks.
Retail? You wait for the IPO, buy at the top, and fund their exit.
That has always been the deal.
𝗨𝗻𝘁𝗶𝗹 𝗻𝗼𝘄, 𝘀𝗼𝗿𝘁 𝗼𝗳.
@MEXC just opened a SPACEX (PRE) Launchpad ,a product that mirrors SpaceX's market value and lets you get exposure to the pre-IPO narrative before listing day.
And here is where it gets interesting.
→ The subscription price on MEXC is $650
→ The same exposure on Bitget is already trading at $838
→And On Gate, it closed at $790
That is a 29% to 34% gap. Before the token even lists.
The people who moved early on Bitget and Gate are already sitting on paper gains just from the entry price difference. MEXC is the last open door at the ground floor and it is not a big door.
Only 7,700 tokens would be made available by Mexc, and it is the smallest supply among all the major CEXs running this.
Smaller supply,same demand. You already know what that does on listing day.
But here is the part most people will ignore until it is too late.
The $650 entry disappears on May 21st at 4PM UTC+8.
Not paused or extended. Completely Gone.
After that, anyone who wants SpaceX exposure buys at whatever the market is pricing it. Which, if the current OTC premium holds, is already $200 above where you could have entered today.
I am not saying this is a guaranteed win. No one can promise you that.
What I am saying is this:
The gap between what institutions pay to get into generational companies early and what retail pays has always been the real wealth gap in markets.
MEXC just closed that gap by a little. For a short window. At the lowest price available anywhere right now.
That window closes May 21st.
The door is open. It won't stay that way.
👉:https://t.co/payHMnsMiv
𝘼𝙜𝙚𝙣𝙩 𝘾𝙤𝙤𝙧𝙙𝙞𝙣𝙖𝙩𝙞𝙤𝙣:
𝙃𝙤𝙬 𝙈𝙪𝙡𝙩𝙞𝙥𝙡𝙚 𝘼𝙜𝙚𝙣𝙩𝙨 𝙒𝙤𝙧𝙠 𝙏𝙤𝙜𝙚𝙩𝙝𝙚𝙧 𝙤𝙣 𝙂𝙤𝙖𝙩 𝙉𝙚𝙩𝙬𝙤𝙧𝙠
Imagine , A single agent managing liquidity performs well within a narrow scope, yet the moment market conditions become more complex, one system handling trading, risk management, capital allocation, and data analysis begins to show limits because each function requires different logic, timing, and sensitivity to market signals.
This is where coordination becomes the next layer.
Inside ecosystems forming around @GOATNetwork, agents are not designed to operate alone. They operate as specialized units that interact, exchange information, and execute different parts of a broader strategy.
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𝙁𝙧𝙤𝙢 𝙎𝙞𝙣𝙜𝙡𝙚 𝘼𝙜𝙚𝙣𝙩𝙨 𝙩𝙤 𝙎𝙮𝙨𝙩𝙚𝙢𝙨
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A coordinated agent system separates responsibilities.
One agent focuses on data ingestion and market analysis.
Another agent focuses on execution and trade routing.
Another agent monitors risk exposure and enforces limits.
Each system performs a narrow function with higher precision instead of one agent trying to manage everything.
This structure mirrors how advanced financial systems operate, where different units handle research, execution, and risk independently while sharing information.
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𝙃𝙤𝙬 𝘼𝙜𝙚𝙣𝙩𝙨 𝙄𝙣𝙩𝙚𝙧𝙖𝙘𝙩
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Coordination requires structured communication between agents.
The process follows a flow.
→ A data agent detects a change in market conditions.
→ It sends a signal to an execution agent.
→ The execution agent evaluates whether the signal meets predefined thresholds.
→ A risk agent checks if the action stays within exposure limits.
→ If all conditions align, the transaction executes.
Each step remains independent, yet the outcome depends on cooperation.
Because every action records onchain, the entire process remains transparent and verifiable.
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𝙒𝙝𝙮 𝙂𝙤𝙖𝙩 𝙉𝙚𝙩𝙬𝙤𝙧𝙠 ���𝙞𝙩𝙨 𝘾𝙤𝙤𝙧𝙙𝙞𝙣𝙖𝙩𝙚𝙙 𝘼𝙜𝙚𝙣𝙩 𝙎𝙮𝙨𝙩𝙚𝙢𝙨
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Coordination increases the number of interactions between systems.
More signals.
More checks.
More executions.
Infrastructure must support this increase without slowing the system.
Goat Network provides an environment where multiple agents interact continuously without turning each interaction into a costly operation, allowing complex strategies to run across several coordinated systems instead of relying on a single agent.
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𝘼 𝙉𝙚𝙬 𝙊𝙥𝙚𝙧𝙖𝙩𝙞𝙣𝙜 𝙈𝙤𝙙𝙚𝙡
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As the agentic economy grows, the most effective systems will not be individual agents but coordinated networks of specialized agents working together.
Each system handles a specific task.
Each interaction carries information or value.
Each decision flows through multiple layers before execution.
Within ecosystems forming around @GOATNetwork Network, this model creates a structure where autonomous systems collaborate to manage capital, analyze markets, and execute strategies with a level of coordination that manual processes struggle to match.
𝑹𝒊𝒔𝒌 𝒃𝒚 𝑺𝒊𝒛𝒆: 𝑾𝒉𝒆𝒓𝒆 𝑹𝒆𝒕𝒖𝒓𝒏𝒔 𝑨𝒄𝒕𝒖𝒂𝒍𝒍𝒚 𝑷𝒂𝒚 𝑭𝒐𝒓 𝑹𝒊𝒔𝒌
This past Tuesday I was reflecting on what KG the founder of @TheRiskProtocol said, and it stayed on my mind longer than I expected because it felt like a direct description of what I had been observing in real time.
He said,
➨"𝐄𝐯𝐞𝐫𝐲 𝐟𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐦𝐚𝐫𝐤𝐞𝐭 𝐭𝐡𝐚𝐭 𝐡𝐚𝐬 𝐬𝐜𝐚𝐥𝐞𝐝 𝐡𝐚𝐬 𝐚 𝐥𝐚𝐫𝐠𝐞 𝐫𝐢𝐬𝐤 𝐭𝐫𝐚𝐧𝐬𝐟𝐞𝐫 𝐦𝐚𝐫𝐤𝐞𝐭, 𝐜𝐫𝐲𝐩𝐭𝐨 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐧𝐨 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭, 𝐭𝐡𝐞 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐢𝐬 𝐮𝐧𝐝𝐞𝐧𝐢𝐚𝐛𝐥𝐞."
That made me pause because at the same time I had been going through the RiskFi Insights dashboard with a specific focus on size cohorts, trying to understand how different segments of the market were behaving under pressure, and more importantly, where risk was actually being priced correctly.
Stay with me 😉👇🧵