Full time believer since 2020 | @DoubleUAlpha | @LOTI_NFT Premium membership club | $UFD
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Simon š¹ retweeted
On-chain conditions are now the worst theyāve been in the last 166 days
Trench Index is now at 40 and drifting into "cold" territory. Last time we saw the trench index this low was 5th May 2026.
Probably range a bit in the "cold" zone while Bitcoin chops around before we get another on-chain season.
Sentiment on-chain is arguable the worst its been all year even though we still have 2 tokens launched this year trading above $100m MC and 6 trading above $50M
Patience and conviction will be rewarded in the coming months. Be fearful when others are greedy and greedy when others are fearful.
Simon š¹ retweeted
Back to robinhood:0xedbf91223639800bcd5756815caf908df3b890be
Since my previous post, robinhood:0xedbf91223639800bcd5756815caf908df3b890be has made a pretty impressive recovery from the $3.5 ā 4M range and is now trading around a $12M market cap, approaching its previous ATH near $13M, despite volume across Robinhood Chain remaining relatively weak
What's interesting is that not only has the chart played out pretty much as I expected, but the team has also shipped several notable updates over the past two weeks
Personally, I still consider robinhood:0xedbf91223639800bcd5756815caf908df3b890be one of the more interesting AI Agent projects to watch on Robinhood Chain. I think Agentic AI could become one of the biggest narratives over the next few years, as AI agents begin trading autonomously, using APIs, hiring other agents, and completing tasks to generate revenue
To do all of that, agents will need capital, identity, and a reliable credit history. That's exactly the problem Priors is trying to solve through ERC-8004 identities and on-chain repayment records
If this model scales, I think Priors could evolve beyond a traditional lending protocol into a credit and reputation infrastructure layer for the agent economy, potentially expanding into a broader agentic ecosystem or even a launchpad in the future
What I appreciate is that the team is actually building toward that vision
Since my last post, SeatVaultV5 officially went live on October 9, allowing agent owners to stake robinhood:0xedbf91223639800bcd5756815caf908df3b890be to back credit lines across different tiers, with limits reaching around $500
Engine 2 also started operating on October 11, using a portion of protocol revenue to buy robinhood:0xedbf91223639800bcd5756815caf908df3b890be. The next step is to allocate those tokens toward backing agents with strong credit histories. For now, the token-buying mechanism has started, but the automated allocation of tokens for backing hasn't been fully implemented yet
I'm particularly interested in this mechanism because if credit activity grows, demand for buying and locking robinhood:0xedbf91223639800bcd5756815caf908df3b890be could grow alongside it. This is one of the key ways the token could benefit directly from protocol adoption rather than relying purely on the narrative
Go Mode has also received some meaningful upgrades, including Jobs, Agent Profiles, Score v2, and the ability to purchase stocks with USDG. According to the team's latest updates, around 50 paid jobs are listed, with 5 already live
I particularly like this direction. An agent could borrow capital, complete a job, generate revenue, and repay its loan. A stronger repayment history would then help it build a better credit score and qualify for larger credit lines
If this model scales, Priors could become an important part of how AI agents interact and conduct economic activity with one another
Looking at the numbers, total loans have increased from roughly 22.5K to over 40K, cumulative repayments have grown from $172K to around $300ā330K, and the number of agents has risen from approximately 150 to nearly 280 in just two weeks
That's meaningful growth, but I still want to maintain the same perspective I shared in my previous analysis
The lending pool currently sits at only around $6.5ā6.9K, while outstanding debt is approximately $1.5K. Although both figures have nearly doubled since October 4, the actual capital involved remains relatively small compared to a market cap of around $12M
The protocol also continues to report $0 in lender losses, but that doesn't necessarily mean the credit system has been tested under a real stress scenario involving multiple defaults
In other words, cumulative activity is growing quickly, but the amount of capital actually being deployed hasn't caught up with the expectations currently priced into the token
As for upcoming catalysts, the team has confirmed plans to introduce Pendle's PT-USDG as backing collateral for credit lines on October 20. This could be another step toward expanding the types of assets that can support credit within the protocol
Priors is also developing an Agent Directory covering approximately 8,800 ERC-8004 agents on Robinhood Chain, alongside a public reputation board displaying each agent's credit history. The team has also introduced the idea of a pixel tree, where an agent's credit profile evolves through different tiers and can be negatively affected by defaults
I find this direction pretty interesting. As more agents need to verify each other's credibility before trading or collaborating, credit history could become an essential part of the agentic economy
Instead of every project having to build its own credit evaluation system, they could integrate directly with an existing infrastructure layer like Priors
That's also the long-term thesis behind why I'm continuing to follow robinhood:0xedbf91223639800bcd5756815caf908df3b890be. I don't see it simply as another token benefiting from the AI narrative, but rather as a bet on credit and reputation becoming essential components as the AI agent economy develops
Of course, that long-term potential still needs to be proven through real adoption, especially when much of the current lending activity still revolves around relatively small loans
Coming back to the chart, the $13M area remains an important resistance level. If robinhood:0xedbf91223639800bcd5756815caf908df3b890be breaks above it and manages to hold, I think we could see a new phase of price discovery. Otherwise, I'll be watching the $10ā11M range, followed by $8ā9M, if we get another pullback
After such a strong recovery, I'm not particularly interested in FOMOing near ATH
Overall, I'm still fairly bullish on the long-term direction of robinhood:0xedbf91223639800bcd5756815caf908df3b890be. The team continues to ship quickly, several catalysts I was previously watching have gradually turned into working products, and lending activity is continuing to grow
But with a market cap around $12M while the lending pool remains below $7K, it's clear that the market is already pricing in a considerable amount of future potential
What I want to see next is more real capital entering the system, agents using larger credit lines, Jobs generating actual revenue, and most importantly, the amount of robinhood:0xedbf91223639800bcd5756815caf908df3b890be being purchased or locked growing alongside protocol usage
If those factors begin to grow together, I think Priors will have a much stronger case for becoming an important infrastructure layer for the agent economy rather than just another AI narrative play on Robinhood Chain
For now, I'll continue keeping a close eye on robinhood:0xedbf91223639800bcd5756815caf908df3b890be, particularly the PT-USDG integration scheduled for October 20, Engine 2 activity, and how the price reacts around its previous ATH
0xeDBf91223639800BCd5756815CAf908Df3b890bE
And the second one I want to talk about today is $PRIORS
$PRIORS has been one of the stronger performers on Robinhood Chain recently, moving from around $1.9M MC on September 24 to nearly $13M at ATH, and now holding around $10ā11M
But the chart isnāt what caught my attention
Behind $PRIORS is an actual product trying to build an on-chain credit layer for AI agents on Robinhood Chain
Letās break it down
1. What is Priors actually building?
The core idea is pretty simple
AI agents can own wallets, trade, use APIs, and perform tasks autonomously. But what happens when an agent needs capital or compute before it has the funds to pay for it?
Priors is building a system where agents can borrow USDCG without traditional collateral, then build reputation through their actual repayment history
Each agent uses an ERC-8004 identity, while its borrowing and repayment history is recorded directly on-chain
Credit scores are based on factors such as how much has been repaid, how long loans were held, how much capital is backing the agent, and how long the agent has participated in the protocol
If an agent defaults, its score can reset to zero and directly affect its ability to borrow again
Thatās one of the more interesting parts of the thesis :
Reviews can be faked. On-chain repayment history is much harder to fake
2. How does the lending mechanism work?
Priors currently has a USDCG lending pool
Lenders deposit USDCG to provide liquidity. Agents can start with very small credit lines, usually around $5, and gradually increase their limits by building a solid repayment history
Depending on the type of backing, credit lines can currently reach around $500, with loan terms ranging from roughly 1ā30 days
Importantly, agents arenāt borrowing purely on trust
Each credit line still has a risk-bearing layer behind it, whether thatās treasury capital, a backer, a $PRIORS seat, or stock collateral
If an agent defaults, the capital backing that agent takes the loss before lenders do
Fees are currently split roughly :
> 60% to lenders
> 25% to sponsors/seat holders
> 15% to reserves
This is also why the protocol currently shows $0 lender losses, although I still want to see how the system performs once a real default happens
3. Where does $PRIORS fit into this?
This is the most important part for the token itself
$PRIORS isnāt a token where simply holding it automatically gives you protocol revenue
One of its main utilities comes from seats
Users can lock $PRIORS behind an agent to support its credit line. If the agent repays successfully, the seat holder can earn part of the sponsor fees
If the agent defaults, part of the $PRIORS locked in the seat can be burned
This creates the flywheel the market is betting on :
Better credit => larger credit line => larger seat required => more $PRIORS locked => usage potentially creates token demand
But thereās an important nuance here
Not every credit line requires $PRIORS. Priors also supports treasury backing, backers, and stock lines
So you canāt simply take total lending volume and assume all of it directly translates into $PRIORS demand
4. The product is already running
This is where I think $PRIORS stands out from a pure AI narrative
A snapshot I checked on October 4 showed roughly :
> 22.5K loans
> 22.4K+ repayments
> Over $172K repaid
> Around 150 agents
> 13 sponsors
> 0 defaults
> $0 lender losses
Beyond the lending pool, Priors is also building several other layers
x402 allows agents that donāt have enough funds to pay for API or compute costs to borrow the difference and repay it later
Stock Line allows agents to use stock tokens on Robinhood Chain to open credit lines, with roughly 25ā50% LTV and a current limit of around $250
They also have CLI, SDK, and MCP tooling for developers to integrate the credit layer directly into their agents
Go Mode is also being gradually rolled out to testers rather than existing purely as a concept
5. But the numbers need context
This is where I think the market can easily misread the data
More than $172K repaid does NOT mean Priors has $172K in TVL
That figure represents cumulative lending activity. The same capital can be borrowed, repaid, and recycled many times
When I checked, the actual pool was only around $3.6K, while outstanding debt was roughly $800
Most of the activity also comes from very small credit lines. Many agents borrow $5 and repay relatively quickly
That explains how the protocol can generate more than 22K loan records despite having a relatively small amount of actual capital in the system
Credit history itself is also still fairly shallow. The number of loans held for at least 7 days and qualifying as deeper credit history remains very limited
So in my view :
Priors has proven that the lending loop works. It has not yet proven that a large credit market exists
Those are two very different things.
6. So why did $PRIORS pump this hard?
I donāt see one single catalyst like a major CEX listing or partnership behind the move
In my view, itās a combination of several factors
First, the AI agent + on-chain credit narrative fits Robinhood Chain extremely well right now
Second, the team is actually shipping. The lending pool, seats, x402, Stock Line, and developer tooling give the market something tangible to price in rather than just another AI landing page
Third is the token mechanism
The market is front-running the idea that if more agents use Priors and their credit lines grow, demand for $PRIORS seats could grow alongside them
And finally, thereās still a speculative component
$PRIORS has been pushed heavily across the Robinhood Chain community and X. With a relatively small market cap and thin liquidity, new capital can move the valuation very quickly
Going from around $1.9M to nearly $13M, the market has clearly priced in a lot of future expectations already
7. On-chain activity is worth watching
FOMO wallets entered very early
The first FOMO transaction I tracked appeared roughly 16 minutes after launch, when the market cap was only around $350K
From there to nearly $13M ATH was roughly a 37x move
Among the wallets I tracked, around 31 wallets bought nearly $365K in total, while 26 wallets have already sold around $196K
Some early wallets are still sitting on sizable positions. One snapshot showed 8 FOMO wallets still holding around $557K, with approximately $363K in unrealized profit
Over the latest 48-hour window, flows from this group were also slightly sell-heavy, with roughly $38K in buys versus $57K in sells
That doesnāt mean the chart has to dump, but buyers who entered between $350K and $2M clearly have a very different cost basis from anyone entering above $10M
8. Supply structure is another thing to watch
The deployer bought roughly 38ā39% of the supply around launch, and the data I checked also showed around 33 wallets that were tax-exempt at launch
I donāt have enough evidence to confidently label this as a bundle, so I wonāt
But nearly 39% cumulative early buying, combined with the unrealized profits held by early wallets, still creates a supply risk worth monitoring, especially when actual liquidity is much smaller than the market cap
9. What comes next?
The team is currently teasing several notable updates
The first is a new seat model, aiming to reduce the collateral requirement to roughly 1.5ā3x the credit line, while potentially increasing the default penalty from a 50% burn to around 75%
Next is BBL, where a portion of fees could be recycled into first-loss capital based on repayment history
The team has also teased new engines and agent crews, allowing multiple agents to work together instead of operating independently
Go Mode is gradually opening as well. Based on one snapshot I checked, the waitlist had around 200 users, with only a few dozen testers being admitted per batch
But this distinction matters :
A feature being teased does not mean itās already live
SeatVaultV5, BBL, and some of the new engines still need actual deployment and on-chain activity before I treat them as completed catalysts
10. What Iām watching from here
Instead of only watching the chart, Iām paying attention to the underlying metrics
Does the lending pool grow beyond a few thousand dollars?
Does outstanding debt move meaningfully beyond ~$800?
Do agents start borrowing more than $5?
Does qualified credit history begin to grow?
Can Go Mode attract real users outside the initial tester group?
And most importantly :
Does increased credit activity actually lead to more $PRIORS being locked in seats?
If those metrics start growing together, then the token demand thesis gets much stronger
+ My view
I think $PRIORS is one of the more interesting projects on Robinhood Chain right now because the product actually exists and the team is shipping
But I donāt want to turn that into a one-sided bullish thesis
On one side, we have a token valued around $10ā11M
On the other, the actual lending pool is still only around $3.6K, outstanding debt is roughly $800, credit history remains shallow, and most activity still comes from very small loans
In other words, the market is pricing Priorsā future faster than actual adoption is growing
The question is no longer :
āDoes Priors have a real product?ā
The answer is yes
The more important question is :
āCan this product scale fast enough to turn speculative demand for $PRIORS into real usage-driven demand?ā
If the new seat model, BBL, and Go Mode genuinely bring more agents, capital, and lending activity into the protocol, the thesis becomes significantly stronger
But if the pool remains only a few thousand dollars and activity continues to revolve mainly around $5 loans, then valuation is running ahead of fundamentals
After a move from $1.9M to nearly $13M, I wouldnāt FOMO the chart here
But $PRIORS is still one of the projects on Robinhood Chain Iāll continue watching closely, especially on-chain usage, token lock-up, and the teamās next deployments
0xedbf91223639800bcd5756815caf908df3b890be
Simon š¹ retweeted
Top tokens launched in 2026....
1. $PONS: $215m MC (-66% from ATH)
2. $CASHCAT: $113m MC (-64% from ATH)
3. $AI: $91m MC (-77% from ATH)
4. $STONK: $83m MC (-74% from ATH)
5. $MARSCOIN: $79m MC (-70% from ATH)
6. $CATE: $73m MC (-44% from ATH)
7. $NiuLai: $64m MC (-47% from ATH)
8. $ANSEM: $56m MC (-75% from ATH)
9. $ZCAT: $50m MC (-70% from ATH)
Only two tokens launched in 2026 are still trading above $100M MC. $CATE has been the strongest during this period of on-chain weakness down only 44% from ATHs.
solana:BXoHJddsWJLHtAopeiSbKUSELsu8hSFMs8baGMDkpump
quick update: ~$455k locked in staking on day one
- 254 crawl.md, 26% of the collection
- 71.95M $CRAWL, 7.5% of supply
- 3-day lock, then unstake any time: your crawl.md and $CRAWL come back with rewards
really glad to see so much community support here, and i think tokenomics is finally established, so now i can focus on training the queen and building the project in its true direction
Simon š¹ retweeted
had a well-respected trader ask me for my take on robinhood:0x2e8c31162b855a2ffa90f6f8634643ad6f111e18 recently so I thought I would relay the general ideas I shared with him here:
1. "AI" as a term is backed by a field of research that has existed for 70+ years and isn't going anywhere
I would argue that the recent controversy has only added to the lore and given it more attention as fuel for its next leg
every major CT account posting about the chart this past week is very telling of the power this token holds
2. Robinhood chain is still only about 3 months old and has ~$1b in TVL
a lot of people compare it to Solana or Base but imo the better comparison for the upside is Robinhoodās main US stock trading app which has around $384b in AUM
if Vladās goal is to open tokenized equities to the rest of the world then the TAM is much larger than what is onchain today and even a 10-20x from here would not be unreasonable
robinhood:0x2e8c31162b855a2ffa90f6f8634643ad6f111e18 being paired to NVDA which is the most traded stock in the world makes it the best proxy for that bet
3. stock-pairs are still the most novel experiment we have seen in the last 2 years and I do not expect onchain to go back to pure memecoins anytime soon
people are also quick to forget what @Natan_benish recently shipped with LONG 500 where a portion of fees from all new stock-pair launches accrues to robinhood:0x2e8c31162b855a2ffa90f6f8634643ad6f111e18 ās community vault
this makes it much more resilient than a narrative that relies purely on memetics and has turned it into THE bet for the future of onchain converging with tradfi (the last meta)
4. robinhood:0x2e8c31162b855a2ffa90f6f8634643ad6f111e18 is still the first mover in its category, with almost 3 months of organic distribution, 55k+ holders, ~$6m in its lp, and an IP that can't be undone overnight
that makes it the most attractive investment for large investors and institutions seeking exposure to Robinhood chain's growth
5. every token that has ever run to multi-billion dollar valuations has had major retracements
no one gets a free ride up without having their conviction tested a couple of times
these dips are simply a cleansing to rotate tokens from the hands of non-believers to believers
considering the recent course of events, I think it is safe to say the worst we could have seen is mostly behind us
xitter.cf/Salem1299534/status/20ā¦
Simon š¹ retweeted
Weāre building the financial layer for stock communities onchain.
ā Introducing LONG 500.
Our goal: the S&P 500 of tokenized stocks. Compounding $AI into the most diverse community-owned reserve on @RobinhoodCrypto chain.
Every new stock-paired launch now contributes stock-token fees directly to the $AI Community Vault.
With 70+ tokenized stocks supported on LONG, each new stock community brings another source of accumulation into the reserve.
As LONGās stock ecosystem expands, more markets contribute to what $AI is building.
$AI holders gain a reason to discover and support new stock communities. Creators gain a connection to an established audience whose reserve benefits from their activity.
This upgrade also includes a new buyback system for new pairs that can be triggered by anyone 24/7.
Hereās how it works:
ā 5% of stock-token fees from new stock-paired pools goes to the $AI reserve.
ā Another 5% funds buybacks and burns of the token paired with the stock.
Automatic LP compounding continues. Creator fees remain unchanged.
The same activity builds your marketās liquidity, buys back and burns your token, and adds stock assets to the $AI reserve.
Build your own community while giving an established one a reason to root for you:
That is PvE.
Following community requests, upgraded community vaults for ALL past pairs are also planned, with additional features.
A reason to root for every new launch, while compounding what weāve already built.
LONG.
Simon š¹ retweeted
The $AI Thesis: Chips at the Busiest Table in Vladās Casino
TLDR: Tokenized stocks failed three times for lack of demand. @longdotxyz is the first model to actually generate that demand, by making a casino that consumes them. The casino needs a table that generates enough activity and winners to attract fresh money. Robinhoodās edge has never been serving the sophisticatedā¦ itās making markets feel like a game for retail. Theyāre not Vanguard, theyāre the meme-craze venue, and thatās exactly why $AI and the meme-paired tokenized stocks through long.xyz are so compelling.
Novel Tech
Stock-paired memes are the first demand engine tokenized stocks have ever had. Everyone tried this. Everyone died. Binance and FTX shipped tokenized stocks in 2020-21. Backed put redeemable xStocks on Solana. Clean wrappers, real backingā¦ zero demand. A tokenized share is a worse version of something every brokerage customer already has. The product worked. Nobody came.
long.xyzās unlock: make the casino consume them.
Every LONG meme launches paired against a stock token (AI/NVDA, MEME/AMC, ICOIN/AAPL). So every launch needs stock tokens as collateral, every LP holds them as inventory, and every trade drips them into vaults that never open. Tokenized NVDAās first real market is memecoin collateral. Degens are involuntarily doing the job professional market makers wouldnāt: building two-sided books for a product that had none.
Why LONGās model beats the current alternatives:
1. Passive listings (the xStocks graveyard): tokenized stocks sitting on a DEX waiting for buyers. No engine, no reason to exist today. This is the control group and itās dead.
2. Generic launchpads (the Pons model): launches pair against ETH or USDG. Fine casino, but itās max-IL pairing for meme LPs, consumes zero stock tokens, builds zero vaults, and creates nothing Robinhood strategically wants. Activity without alignment.
3. Dividend models (Flap): pays the stock OUT to holders. Sounds better for you, but it drains value from the books instead of compounding it into depth, attracts yield farmers instead of traders, and walks straight at the securities line. Payouts leak; depth compounds.
4. LONG: stock consumption built into every launch, permanent POL that canāt rug and buys dips, a fee ratchet that compounds depth instead of paying it out, factory discipline (ticker locks, launch caps, PND monitoring), and native AI-pairing that gives the whole eco one deepening denominator. Itās the only model where the casinoās growth and Robinhoodās corporate strategy are the same number going up.
$AIās tokenomics:
1. Fair launch via the LONG, ~1B supply, all float, no team bags. Permanent protocol-owned liquidity: canāt be pulled, mechanically buys dips 0.7% fee on AI/NVDA, split three ways every trade: burn (supply only shrinks), permanent lock, and a vault stacking real NVDA (~$2.7M, one-way ratchet)
2. LONG recycles platform fees into $AIās books; LongX leverage fees flow back to $AI
Flattest holder book on the chain: no wallet holds 3%, top ~26 hold ~27%. Nobody can nuke this chart aloneā¦ which is why it survived four 80% drawdowns and reclaimed ATH every time
3. Why it HAS to stay a meme (this is design, not a phase): Legal: the vault being ornamental (no claims, no redemption) is what keeps $AI a collectible instead of an anonymous unregistered fund on a public brokerageās chain. The disclaimer IS the moat. Flap pays stock dividends to holders and is skating this exact lineā¦ thatās their risk, not their edge.
4. Demand: a token thatās just a stock vault is a worse ETF, and worse-ETFs are the product that already failed. The meme is the demand engine, the vault is the trellis.
5. Skew: vault-tied tokens trade at NAV and NAV canāt 50x. No lottery, no trenchers, no volume, no fees. The gap between price and backing is where the dream lives, and the dream pays the fees (memes).
6. Free call option nobodyās pricing: if the SEC tokenization exemptions land, the legal wall moves, and Nate can ship vault-tied features (stock airdrops, real distributions) the moment theyāre permitted. The machinery to pay holders already exists behind a wall regulators may be about to relocate.
The Only Alignment That Matters
Why Vlad built the chain (heāll never say it this plainly): sequencer fees are a new revenue line, tokenization grows platform assets, and selling US equities to the planet on-chain skips a decade of brokerage licensing in 100 countries. Itās a distribution hack wearing a blockchain costume, and itās consistent with the distribution brilliance Robinhood is known for.
Robinhood doesnāt need a token. The goal is maximizing $HOODā¦ sequencer fees, USDG reserve yield, global customers, it all rolls up to the stock.
Their GTM has never been about appealing to the sophisticated investorā¦ theyāre not Vanguard or BlackRockā¦ theyāre Robinhood, and theyāre raising an entire generation of younger millennials and zoomers in finance. One of the best traders I know (@GuthixHL) told me HOOD is the one stock he feels comfy holding for the next decade, and I tend to believe him.
So how does RH chain pump HOOD stock indirectly? And how much more obvious could Vladās activity be in signaling at this?
Thatās the trade: the most HOOD-aligned asset pumps hardest, because the platformās entire self-interest points at letting it run.
LP math already elected $AI. Pairing a meme against dollars costs LPs ~5.7% impermanent loss per 2x, and these things 2x weekly. Pairing against $AI, which moves with the same meta beta, costs nearly nothing. Same capital, deeper book, routers chase the deepest book, fees feed more LPs. Nobody decides thisā¦ itās the same equilibrium that made Ethereumās long tail quote in WETH while USDC sat right there.
Scoreboard: 40+ AI pairs, 1/6 of all chain pool liquidity, record 23% of $AIās tape settling as cross-pair routing, and the USDG meme pools sitting next to them with a few thousand bucks in them. The market voted.
Why LONG and not PONS: every chain gets its launchpad token tradeā¦ pump is to SOL, hfun is to HYPE, PONS is trying to be that for RH. PONS runs a real fee-and-burn machine (80% of revenue burns PONS, ~29% of supply torched, briefly out-earned pump.fun). But itās the generic-launchpad trade: valued on fees that crater when launches dry up, in a category where dominance flips overnight. LONG has the dual mandate: memes with no ceiling AND manufacturing the tokenized stock demand that is literally Robinhoodās corporate strategy.
LONGās growth is sponsored; PONSās is tolerated.
@Natan_benish says LONG will never have a token, so all value expression for the sponsored machine concentrates in its denominator. PONS is the fee token of the tolerated casino. $AI is the money of the sponsored one.
In other words, Vlad is bootstrapping liquidity for tokenized stocks by launching the RH chain and letting projects compete to do so.
Zoom out one level: meme-paired stocks arenāt only aligned with HOODās corporate strategy. Theyāre aligned with the corporate strategy of every company whose stock already trades on memes and attention with zoomers anyway. Weāll see that play out as more of these meme pairs take off and corporate CEOs start engaging with them.
The Attention Flywheel and the Exit Liquidity
Four loops, all spinning:
1. 8-9 Figure Meme runners recruit more soft money. Nobody checks the aggregate chart, they see the BONER candle. 10,000 launches in one day after the pre-IPO feature. Every winner is free customer acquisition, every launch locks more stock and more $AI inventory, deeper books, cheaper routes, next launch. One bridge in five weeks. Eight in six days. Then forty.
Vlad is a non-stop attention engine...he doesnāt even aim. Redemptions and voting rights announced. SEC exemption window open. HOOD Summit on deck. One follow from his account candled $MEME 150% in an hour. He bull-posts tokenization to tradfi weekly and every impression lands one click from the casino whose chips are $AI. Fortune 500 marketing budget, zero dollars spent.
The eco builds on the hub. OPEN is a protocol whose whole business is owning the liquidity in AI pairs and earning the feesā¦ which means if $AI ever stops being the denominator, OPEN dies. So they now work to deepen $AIās books every day, for their own reasons, for free. LongX routes its leverage fees back into $AI the same way. Itās like vendors opening shops on the casino floor that only accept your chips: every new shop makes the chips harder to replace, and none of the shopkeepers work for you. The moat compounds without you lifting a finger.
Corporate attention is starting to arrive, friendly or hostile, and both fuel the machine. AMCās CEO attacked Robinhoodās tokenization publicly and the AMC-paired meme candled anywayā¦ hostile attention is still attention. This is the tip of the iceberg. If in-kind redemptions happen, some of these memes will quite literally meme āboard sitā into existence (tokenholders coordinating the votes behind the redeemed shares to push for board seats), and plenty of forgotten companies will learn to use their meme pair to drive attention to their stock.
A Much Better $VIRTUAL Setup
The closest comp is $VIRTUAL.
Same design on Base: launchpad hub, everything paired against it, $50M to $5B in three months. Currently down 88% with every structural feature intact, because the launch machine stopped producing winners and the denominator premium evaporated anyway.
Why I think the ceiling here is higher: $AI is a meme, not infrastructure cosplaying as one (no roadmap to disappoint you); the substrate has a sponsor (a public company shipping redemptions and voting rightsā¦ Base never needed the agent meta, Robinhood demonstrably benefits from this one); and distribution VIRTUAL never dreamed of (the CASHCAT listing proved the chain-to-app pipe, and no hub token has ever had a retail brokerage one tap away). The mechanism that killed VIRTUAL still applies here in full.
Where the demand comes from, ranked:
1. The Robinhood app listing. $AIās ETF moment. CASHCAT did +100% on listing at a fraction of the profile; tens of millions of funded accounts one tap away. The single biggest catalyst on the board.
2. LP adoption for memefi. Bridge LPs buying AI-side inventory, launches consuming $AI at creation, trenchers holding it between trades like SOL in memecoin season, profits parking in the hub. The 23% cross share is this happening live.
3. OPEN. If it scales, a structural accumulator that permanently owns AI-pair liquidityā¦ the closest thing an anon memecoin gets to a DAT. Watch it.
4. The machineās own bid. Burn, locks, POL dip-buying: ~$10-15M/yr today, ~$31M/yr base case. Floor, not fuel.
The Risks, the Numbers, and the Plan
You own chips, not equity. No claim on the vault, no dividends, no redemption. Burn is a buyback, the vault is a floor narrative, depth is a moatā¦ none of it pays you. The only harvest is the exit.
The full risk stack:
1. Formation death (the VIRTUAL death). Metas die when launches stop producing winners, not when the hub loses its role. The seat is structural; the seatās VALUE is the metaās pulse. This killed a $5B version of this exact design.
2. Competitors. Launchpad crowns flip fast (LetsBonk took pump.funās, Blur vampired OpenSea in a winter). I wonder if a competent operator who did a points program selling ābe early again,ā would vamp this. Flap already ships stock dividends to holders and needs no hub token at all. LONGās locked books canāt be vampired, but rivals capturing new launches starves the flywheel.
3. Contract and platform risk. No whitepaper, no published fee split, no audit. Vault, POL, and factory params sit behind keys held by an anonymous deployer and an operator who changes platform behavior āwith a click of a buttonā (his words). RH can censor at the frontend and sequencer any day the casino becomes a liability. US persons are already fenced off the stock side; an SEC that blesses tokenized equities and frowns at the meme layer is a fully coherent outcome. This is the biggest risk to me.
4. Keyman x3, contracts x0. Vlad (toleranceā¦ and in the success case his megaphone rotates toward the institutional port, so the bull thesis partially consumes its own fuel), Nate (fees and params by discretion), anon deployer (vault keys). All have behaved well so far, but that could change at a moments notice.
The bear, base and bull case already written
@okay_lets_ride wrote the article already so just give him a follow.
bear $0.02-0.09 (20%)
base $0.50-1.20 (50%)
bull $2.70-12 (20%),
extra-bull $8.50-40 (10%).
EV ~$3.70 target.
I have a theory about LONG tokens that do a lot of volume and end up accumulating a lot of shares of their RWA pair.
Think it strongly increases these tokens' stickiness, and I would pay attention to them on retraces / low volume periods.
Because it's not SOL or ETH these tokens are paired with; there are fundamentally valuable RWA pairs within the LP and the desire to own them/get exposure to them doesn't go away.
And as it stands, LONG pairs are the best liquid exposure onchain to a wide variety of sought after RWAs
Simon š¹ retweeted
Since AI launched:
ā¢ NVDA stock up, guidance says it goes much higher
ā¢ AI models keep outperforming expectations
ā¢ Robinhood directly pushed and fought for Tokenized Stocks
And today, the SEC sided with Tokenized Stocks, allowing them to be traded.
The stars are aligning.
This is literally the opening of the next era.
The exemptions are set to expire five years after publication. The order solicits public comment about possible modifications to the exemptive relief and potential next steps.
Read more below ā¬ļø sec.gov/newsroom/press-releaā¦
All of you guys that fading $Ai and the tech of my goat @Natan_benish the jew, you will see $Ai and LONG at billions in TVLs and MC In a few months.
So much higher.
Another ~$55K of tokenized $NVDA added to the AI/NVDA pool.
That brings the total added to ~$190K deepening the sell wall and strengthening market stability.
LONG.
Simon š¹ retweeted
Back in business. The silence is over. Youāll be hearing from us soon.
-Living on the Internet
š
Wintermute is preparing $PONS for CEX listings
They are buying $PONS
Overnight, from September 4 to the morning of September 5, Wintermute has been actively buying up $PONS
So far, theyāve bought 263K $PONS tokens off the market, totaling $178K
This suggests that $PONS may be getting ready for listings on Binance, OKX, MEXC, Coinbase, and other exchanges
Are you ready for this?
