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So Guys
I found one of the weirdest things being built on Robinhood Chain.
It’s called FLUSH. @flushfun
Lets look at the idea behind what this team built?
Poker, but every card is a company.
At first, I thought it was just another crypto game.
Then I started looking into it.
Instead of getting normal playing cards, you get companies.
You keep the ones you want, redraw the others, and try to build the strongest hand.
And the interesting part:
Winning hands can pay out in the corresponding Robinhood Stock Tokens.
So a company like Apple isn't just something you hold.
In this game, it can become a card.
And that's where this got interesting for me.
We talk about tokenization all the time:
Stocks onchain.
RWAs.
Programmable assets.
Composability.
But those words can get pretty abstract.
@flushfun makes the idea much easier to see.
Robinhood puts financial assets onchain.
Then developers get to experiment with what those assets can actually become.
A lending asset.
A trading asset.
A collateral asset.
Or apparently...
a poker card.
The builder behind FLUSH is @dt_obrien , and the project is still extremely early.
But its launch attracted a surprising amount of attention for something this small.
I'm not particularly interested in predicting what happens to $FLUSH.
I'm more interested in the experiment itself.
Because maybe the interesting part of tokenization isn't simply putting stocks on a blockchain.
Maybe it's what people start building once they're there.
And if that's the case...
FLUSH might be a very small preview of a much bigger idea.
What else will people build when real-world assets become programmable?
🤖 Made with AI
Mike retweeted
𝑶𝒏𝒆 𝒕𝒉𝒊𝒏𝒈 𝑰’𝒗𝒆 𝒃𝒆𝒆𝒏 𝒕𝒓𝒚𝒊𝒏𝒈 𝒕𝒐 𝒖𝒏𝒅𝒆𝒓𝒔𝒕𝒂𝒏𝒅 𝒃𝒆𝒕𝒕𝒆𝒓 𝒊𝒏 𝑫𝒆𝑭𝒊 𝒊𝒔 𝒘𝒉𝒆𝒓𝒆 𝒕𝒉𝒆 𝒚𝒊𝒆𝒍𝒅 𝒂𝒄𝒕𝒖𝒂𝒍𝒍𝒚 𝒄𝒐𝒎𝒆𝒔 𝒇𝒓𝒐𝒎.
You see platforms offering returns on stablecoins, and it’s easy to focus on the percentage.
But I think the more important question is: who is paying that money, and why?
This question is what led me to Maple Finance.
Maple has a product called Syrup, which gives users access to yield opportunities linked to institutional lending.
Here’s a brief explanation:
Imagine a crypto business that needs USDC to run its operations.
It could sell some of its assets to get the money, or it could look for a loan.
If it borrows USDC from a lending pool, it has to pay interest on that loan.
That interest is one of the ways lenders can earn a return.
This is the basic idea behind lending: one party needs money, another party provides it, and the borrower pays for the privilege of using that money.
Maple brings this idea into the onchain world through its lending products.
Instead of everything happening through traditional lending systems, parts of the process can be handled using blockchain infrastructure.
There’s more to it than that,
We often talk about DeFi as if it’s just swapping tokens, farming rewards, or looking for the next opportunity.
But lending is another important part of it.
There are borrowers who need capital, lenders looking for returns, and platforms trying to connect the two.
Still, there’s something I wouldn’t ignore.
Earning interest from a loan doesn’t mean the loan is guaranteed to be repaid.
A borrower can run into financial problems and fail to repay. Even when a loan has collateral, that collateral might not be enough to cover the full amount owed.
There are also risks linked to the platform, its smart contracts, and the terms of the product.
So the next time you come across a DeFi platform offering attractive returns, don’t stop at the APY.
Ask yourself:
➥ Where is the yield coming from?
➥ Who is paying for it?
➥ And what happens if the borrower can’t pay back the loan?
These are important questions to ask before putting your money into any DeFi product.
Because understanding how the money is made is just as important as knowing how much you could earn.
So, what do you check first when you see a DeFi platform offering yield?
Mike retweeted
Happy new week frens.
This week will bring about greatness, lets see what the market has for us this week..
Shall we ?
🤖 Made with AI
Mike retweeted
One of the interesting things about technology is how it keeps changing the way people participate in industries that once felt out of reach.
Bitcoin mining is a good example.
When people hear about mining, they often picture warehouses filled with expensive machines, huge electricity bills, and the technical knowledge needed to keep everything running.
But what if someone wants to explore mining without setting up all that hardware themselves?
That’s where cloud mining comes in.
I’ve come across a project called @eagletop3compan that’s built around this idea.
The platform offers mining plans that allow users to participate in its cloud-mining model, with rewards credited in Eagle Coin.
I’m taking a closer look at how it works, what its mining plans offer, and what anyone interested should understand before getting involved.
If you’ve ever been curious about cloud mining, this is worth exploring.
Take a look at the platform here: 👇🏻
🤖 Made with AI
Privacy in crypto is not just about hiding transaction details.
It's also about trusting the system that keeps those details private.
Telos is working on Tungsten, a new privacy pool for WTLOS built around three priorities:
Transparent STARK proofs
Formal verification
Lower transaction fees
Each addresses a different problem.
STARKs can remove the need for a trusted setup ceremony.
Formal verification can help establish that specified rules—such as preventing the same funds from being spent twice—hold under a defined model.
Lower fees could make private transfers more practical for everyday use.
But here's the distinction worth paying attention to:
A sound cryptographic design does not automatically make an entire product secure.
The implementation still needs to be completed, integrated and independently reviewed. Real-world performance and final fees also need to be demonstrated.
That's where Tungsten stands today: a set of design goals in development, not a finished system whose promised benefits have already been proven.
I'll be watching how Telos turns those goals into something users can actually rely on.
Because in privacy infrastructure, the technology matters.
But the evidence that it works matters just as much.
Mike retweeted
One thing that doesn’t get enough attention in stablecoin payments is what happens before the money moves.
Mastercard just announced a new service designed to help financial institutions assess risk across stablecoin payments.
It’s called Stablecoin Security.
The service combines payment information with blockchain analytics to help identify potential fraud, scams, sanctions exposure and other financial-crime risks.
It can also generate a risk score before a payment is completed.
Why does this matter?
Because a stablecoin transfer isn’t always as simple as money moving from one wallet to another.
A new Bank for International Settlements study examined 593 million stablecoin transfer events across 141 million Ethereum transactions in 2025.
It found that nearly 60% of those transfer events occurred within complex, multi-step transactions.
That distinction matters.
One transaction can contain several transfers and other operations, meaning that counting every transfer as a separate payment can give us a misleading picture of how stablecoins are actually being used.
For financial institutions, understanding the wider transaction matters just as much as seeing the individual transfer.
Mastercard’s approach is to bring payment intelligence and blockchain analytics together, giving institutions more context before they approve a payment.
The service is launching first in North America, with worldwide commercial availability expected in 2027.
To me, this is an important part of the stablecoin story.
Making money move faster is one challenge.
Helping institutions understand the risks surrounding that movement is another.
And both matter if stablecoins are going to support more real-world payments.
AI agents are starting to buy services from other AI agents.
But there's a difference between an agent economy generating activity and one developing broad, independent demand.
@autonolas gives us an interesting case to examine.
Its Mech marketplace reports:
• 12.1M task requests
• 10.2M completed deliveries
• 11 daily active Mech agents
• $110K in gross task payments
Here's what caught my attention.
Around 97.5% of those recorded requests came from one source: Olas's Predict agent economy.
The marketplace also reports $888 in collected fees, although that figure covers specified payment tokens and fee-collection periods.
None of this proves the marketplace lacks value.
But it raises a more important question:
How much demand exists beyond its largest source, and can that demand sustain a broader agent economy?
For me, that's what makes this worth watching.
Because millions of requests can demonstrate activity.
They don't automatically demonstrate a mature economy.
Mike retweeted
Ethereum doesn't just need secure consensus.
It also needs validators to receive information quickly enough to participate effectively.
That's the problem @get_optimum is trying to solve with mump2p.
The protocol uses Random Linear Network Coding to help blocks and other consensus messages travel across Ethereum's peer-to-peer network more efficiently.
On October 20, Optimum announced that mump2p was live on mainnet across 16 node operators and roughly 22,000 validators.
The company reports 2–4× faster block propagation and 7.88× lower arrival variance in early measurements.
But there's an important distinction here.
The $3.4B in “Total Value Boosted” refers to the stake associated with participating validators. It isn't $3.4B of new value created.
And faster message delivery doesn't automatically prove higher validator rewards.
The real question is whether those networking improvements consistently translate into better attestation timeliness and measurable economic benefits.
Optimum has announced the deployment. Now the quality of the evidence behind its real-world impact matters.
Ethereum doesn't just need secure consensus.
It also needs validators to receive information quickly enough to participate effectively.
That's the problem @get_optimum is trying to solve with mump2p.
The protocol uses Random Linear Network Coding to help blocks and other consensus messages travel across Ethereum's peer-to-peer network more efficiently.
On October 20, Optimum announced that mump2p was live on mainnet across 16 node operators and roughly 22,000 validators.
The company reports 2–4× faster block propagation and 7.88× lower arrival variance in early measurements.
But there's an important distinction here.
The $3.4B in “Total Value Boosted” refers to the stake associated with participating validators. It isn't $3.4B of new value created.
And faster message delivery doesn't automatically prove higher validator rewards.
The real question is whether those networking improvements consistently translate into better attestation timeliness and measurable economic benefits.
Optimum has announced the deployment. Now the quality of the evidence behind its real-world impact matters.
Mike retweeted
24H Perp DEX Briefing - Oct. 20, 2026.
Total Onchain Perp Volume: $21.313B
Top 5 Volume Leaders:
1. @HyperliquidX - $7.505B (both reported & normalized)
2. @Aster_DEX - $1.257B (normalized)
3. @variational_io - $3.305B (reported)
4. @Lighter_xyz - $1.916B (normalized)
5. @grvt_io - $413.01M (normalized)
Data via @DefiLlama.
every single Perp DEX in the top 5 saw an increase in volume in the last 24 hours and overall,
there was an increase in total perp volume in that same time frame as well with exactly $4.581B.
active Tuesday, it seems.
Mike retweeted
Quick RWA Market Snapshot ;
The RWA market is moving in different directions.
According to RWA.xyz, tokenized stocks stand at $3.42B, up 12.93% over 30 days, while tokenized U.S. Treasury funds stand at $14.71B, down 1.47%.
Two categories. Two different trends.
But a rise in tokenized value doesn’t automatically mean more users, just as a decline doesn’t necessarily mean investors are leaving.
Prices, new issuance and redemptions can all affect these numbers.
That’s why looking at one headline figure isn’t enough.
We need to ask where capital is going, which categories are gaining traction, and whether growth is translating into actual usage.
The RWA market isn’t one story. Different assets are moving for different reasons.
Source: RWA.xyz · October 20, 2026
An AI agent can have access to your account and still have no proof that you approved what it's about to do.
Think about an AI agent buying something for you.
The website needs to know more than whether the agent can access an account. It needs to know who the agent represents and whether you approved that specific purchase.
That's the problem Proof is trying to address with x401, a protocol designed to help services verify an agent's identity and authorization.
The idea is simple: giving an AI the ability to act is one thing. Proving it has permission to act is another.
Of course, this doesn't make every AI action safe. But as agents become more capable, verifying their authority could become an important part of the infrastructure around them.
The question is: how do we let AI act on our behalf without losing control over what it can do?