$BUN cat is going viral and guess what? Sol guys just copied it lol.
In every single little detail..
Check @Moshdottrade and @BundleCatAI.
When this $swordcat will die, people will just realise this was a copycat..
Honour to the Mosh dev @justinbebis . Never seen a dev like him.
Frabex retweeted
We're proud to welcome @orbiodotso as the first launchpad building on Mosh.
Mosh will empower Orbio builders with better market structure & tokenization while the Orbio team empowers them with compute, distribution, and tooling.
We designed $BUN to be a super-premium asset.
Scarce, revenue generating, and convertible to UV equity.
With over $200k in trading PnL and $250k in trading fees over 45 days, investing in BUN is an easy decision for our team.
Really happy to have a chance to invest another $25,000 into $BUN. These tokens will fuel more BUN paired launches and allow us to supply liquidity on centralized exchanges.
๐ป
robin.etherscan.io/tx/0xe943โฆ
Frabex retweeted
Buyback executed $BUN MODE.
Really happy to have a chance to invest another $25,000 into $BUN. These tokens will fuel more BUN paired launches and allow us to supply liquidity on centralized exchanges.
๐ป
robin.etherscan.io/tx/0xe943โฆ
$BUN and @Moshdottrade solve this
The Audit Of The Memecoin Casino
Since late August we have recorded every trade on every pump fun and Stonk launch on Solana. Not a sample. All of it: 384 million swaps from 7.7 million wallets across more than a million pools, every bonding curve and every pool that follows it. That is over 56 GB of data and 820 million rows of market history, and it grows by 18 to 25 million trades, up to a million wallets and more than 60,000 new launches every day.
We measured each coin minute by minute. We scored every entry by what the coin did next. We trained neural nets on the result, then went wallet by wallet looking for the people who actually win.
The question was simple: can anyone see the big move coming before it happens?
The short answer is no. The long answer is worse than no, because the data does not just fail to find an edge for you. It shows, in detail, who holds the edge, how they use it, and what they do with you.
Start with a coin that has actually caught a bid: real volume, real buyers, the kind of thing that shows up on your screener. From any given moment, about one in ten of those doubles within the next 24 hours. The rest bleed, and the bleeding is not gentle.
Now take a wallet's first buy into a live coin. Every first buy, 22.8 million of them over a two-week window. In 17% of those entries the coin doubles before it drops 40%. Trade that mechanically, double or stop, and you lose about 19% per attempt after costs.
Call that the house hold. A slot machine keeps 5 to 10%. This keeps 19%, per pull, before any skill or selection is applied.
The reason is the shape of the payoff. A 2ร pays you 100%. The failures do not cost you 10%; they cost you 50%, 80%, 95%. To break even you have to be right far more often than the game allows.
The cabal is real, and we can see it
CT calls it the cabal. The data calls it a cluster: a set of wallets whose first buys land within a minute of each other, on the same brand-new coins, over and over. We do not find them by name or PFP. They fall out of the trade stream all on their own.
They are there. Swarms of 450, 1,400 and 2,000 wallets that hit hundreds of launches a week, moving in within the first minute or two of a coin's life. Smaller, tighter groups of 7 to 50 wallets that pick their spots. Across daily refreshes the count has run from 9 groups to 33, with members rotating in and out as wallets burn and fresh ones take their place.
They are not guessing. The coins the big swarms pile into double 28 to 46% of the time, three to four times the base rate. Their own entries, across every coin they touch, run 50 to 60% to a 2ร before a 40% drop, against 17% for everyone else.
That is what an edge looks like in this market. It belongs to a few hundred wallets, and it is applied to tens of thousands of launches with industrial regularity.
Copying them loses too
The obvious retort: find the cabal, copy the cabal. We did exactly that. A machine watches every launch every minute and flags the moment a known group piles in. Then we traded every flag the way a fast human could: in two minutes behind the group, double or stop out at โ40%, out after a day.
Following the big swarms lost 41% per coin across 93 coins. The median result was โ95%. Not because they were wrong; their coins doubled 28% of the time. Two minutes behind them is simply already the top of the move. They bought at launch. You bought the candle they are selling into.
Following only the groups with a positive track record still lost 11% per coin. Following one good wallet on its own lost 20% per trade in our back-tests. The single pocket that came out ahead, a handful of small, tight groups, made about 10% per coin over 16 coins. That is a few days of trades and nothing anyone should bet a bankroll on.
The cabal's edge is not information you can borrow. It is position. By the time their trade is visible on-chain, the thing that made it profitable is gone.
The best model we could build still loses
We also tried the honest version: no cabal, just prediction. Dozens of signals per coin every minute, price, flow, liquidity, holder behaviour, bot share, fed into neural nets trained on our own history and tested on days they had never seen.
It works, in the sense a quant would recognize. The top of its ranking doubles 26% of the time against a 10% base rate. Two and a half times better than chance.
It also loses money every single day. 771 picks over eight days; every day negative; โ11% per pick on the same double-or-stop rule; the median pick down 45%; 55% stopped out within 24 hours.
The ranking is real and the P&L is still red. The losers are deeper than the winners are tall, and nothing observable at the five-minute mark separates the coin that keeps going from the one that reverses. That is the part worth meditating on: a model 2.5ร better than chance odds is still a losing model.
Why nobody sees it coming
The reason is simple, and it should change how you look at every chart. A meme coin moves because a few people decide to move it: the operator holding the supply, the caller with an audience, the wallet group with the bankroll. That decision is made off-chain. The chain only shows you its execution, the swaps, the volume, the new holders, and by then the first leg is done.
Everything a trader looks at, from a screener to a chart to a wallet tracker, is a photograph of a decision that has already been made. The data is enormous and almost all of it is the crowd reacting. The informative part, a few hundred wallets' intent, is visible only at the instant it executes, and the people executing it are the ones selling to you a few minutes later.
Add 60,000 launches a day, and the future 100ร at minute one is indistinguishable from the 59,999 that die. The casino does not need to hide the cards because it deals them faster than anyone can read and analyze them.
Conclusion
After spending thousands of dollars in API credits, VPS costs, Claude credits, etc the goal was simple: find alpha - if it exists - in order to be able to monetize it.
Instead, all we were able to prove is what we all have suspected all along - the meme coin casino is almost entirely cabal driven.
๐ซก From the depths โ
The White Whale ๐
Frabex retweeted
The Audit Of The Memecoin Casino
Since late August we have recorded every trade on every pump fun and Stonk launch on Solana. Not a sample. All of it: 384 million swaps from 7.7 million wallets across more than a million pools, every bonding curve and every pool that follows it. That is over 56 GB of data and 820 million rows of market history, and it grows by 18 to 25 million trades, up to a million wallets and more than 60,000 new launches every day.
We measured each coin minute by minute. We scored every entry by what the coin did next. We trained neural nets on the result, then went wallet by wallet looking for the people who actually win.
The question was simple: can anyone see the big move coming before it happens?
The short answer is no. The long answer is worse than no, because the data does not just fail to find an edge for you. It shows, in detail, who holds the edge, how they use it, and what they do with you.
Start with a coin that has actually caught a bid: real volume, real buyers, the kind of thing that shows up on your screener. From any given moment, about one in ten of those doubles within the next 24 hours. The rest bleed, and the bleeding is not gentle.
Now take a wallet's first buy into a live coin. Every first buy, 22.8 million of them over a two-week window. In 17% of those entries the coin doubles before it drops 40%. Trade that mechanically, double or stop, and you lose about 19% per attempt after costs.
Call that the house hold. A slot machine keeps 5 to 10%. This keeps 19%, per pull, before any skill or selection is applied.
The reason is the shape of the payoff. A 2ร pays you 100%. The failures do not cost you 10%; they cost you 50%, 80%, 95%. To break even you have to be right far more often than the game allows.
The cabal is real, and we can see it
CT calls it the cabal. The data calls it a cluster: a set of wallets whose first buys land within a minute of each other, on the same brand-new coins, over and over. We do not find them by name or PFP. They fall out of the trade stream all on their own.
They are there. Swarms of 450, 1,400 and 2,000 wallets that hit hundreds of launches a week, moving in within the first minute or two of a coin's life. Smaller, tighter groups of 7 to 50 wallets that pick their spots. Across daily refreshes the count has run from 9 groups to 33, with members rotating in and out as wallets burn and fresh ones take their place.
They are not guessing. The coins the big swarms pile into double 28 to 46% of the time, three to four times the base rate. Their own entries, across every coin they touch, run 50 to 60% to a 2ร before a 40% drop, against 17% for everyone else.
That is what an edge looks like in this market. It belongs to a few hundred wallets, and it is applied to tens of thousands of launches with industrial regularity.
Copying them loses too
The obvious retort: find the cabal, copy the cabal. We did exactly that. A machine watches every launch every minute and flags the moment a known group piles in. Then we traded every flag the way a fast human could: in two minutes behind the group, double or stop out at โ40%, out after a day.
Following the big swarms lost 41% per coin across 93 coins. The median result was โ95%. Not because they were wrong; their coins doubled 28% of the time. Two minutes behind them is simply already the top of the move. They bought at launch. You bought the candle they are selling into.
Following only the groups with a positive track record still lost 11% per coin. Following one good wallet on its own lost 20% per trade in our back-tests. The single pocket that came out ahead, a handful of small, tight groups, made about 10% per coin over 16 coins. That is a few days of trades and nothing anyone should bet a bankroll on.
The cabal's edge is not information you can borrow. It is position. By the time their trade is visible on-chain, the thing that made it profitable is gone.
The best model we could build still loses
We also tried the honest version: no cabal, just prediction. Dozens of signals per coin every minute, price, flow, liquidity, holder behaviour, bot share, fed into neural nets trained on our own history and tested on days they had never seen.
It works, in the sense a quant would recognize. The top of its ranking doubles 26% of the time against a 10% base rate. Two and a half times better than chance.
It also loses money every single day. 771 picks over eight days; every day negative; โ11% per pick on the same double-or-stop rule; the median pick down 45%; 55% stopped out within 24 hours.
The ranking is real and the P&L is still red. The losers are deeper than the winners are tall, and nothing observable at the five-minute mark separates the coin that keeps going from the one that reverses. That is the part worth meditating on: a model 2.5ร better than chance odds is still a losing model.
Why nobody sees it coming
The reason is simple, and it should change how you look at every chart. A meme coin moves because a few people decide to move it: the operator holding the supply, the caller with an audience, the wallet group with the bankroll. That decision is made off-chain. The chain only shows you its execution, the swaps, the volume, the new holders, and by then the first leg is done.
Everything a trader looks at, from a screener to a chart to a wallet tracker, is a photograph of a decision that has already been made. The data is enormous and almost all of it is the crowd reacting. The informative part, a few hundred wallets' intent, is visible only at the instant it executes, and the people executing it are the ones selling to you a few minutes later.
Add 60,000 launches a day, and the future 100ร at minute one is indistinguishable from the 59,999 that die. The casino does not need to hide the cards because it deals them faster than anyone can read and analyze them.
Conclusion
After spending thousands of dollars in API credits, VPS costs, Claude credits, etc the goal was simple: find alpha - if it exists - in order to be able to monetize it.
Instead, all we were able to prove is what we all have suspected all along - the meme coin casino is almost entirely cabal driven.
๐ซก From the depths โ
The White Whale ๐
Frabex retweeted
This is going to be a long post, but I hope it brings some value to those who arenโt familiar with the project yet.
Thanks to @redkev , he first noticed the robinhood:0x07ebb29a38fbcb41563817e5e19f2cec619c90d2 token and initially saw it as just another meme coin. But when I started digging deeper, I came across the @Moshdottrade project. As it turned out, the token is only 1% of the meme and 99% technology focused on fair launches, AI agent market making, and anti-whale supply control.
I spent some time in the Mosh Telegram, and what really caught my attention was the way the admins and developers communicate with the community. It reminded me of December 2023, when I joined @HPOS10Ireturns chat and got a response from @HalloweenIn2008 (even though back then I was just a user with a Russian name)
I really liked @justinbebis mindset:
โI donโt even care if the price pumps over the next few months. Letโs look at the results of our work at least a year from now.โ
For some reason, that really resonated with me. And thatโs saying something, considering Iโve been in crypto for around three years and have heard countless slogans like โThis is extremely bullish,โ โWe have huge plans,โ and so on.
But with Mosh, I genuinely want to believe in the technology because I can see how a team of honest developers could actually put these ideas into practice.
@vmudream has always said something along the lines of:
โPump.fun and other launchpads are destroying token launches because you can buy 70% of the supply through bundles for next to nothing and slowly drain retail traders. Make token launches cost at least $2K.โ
So, what exactly is Mosh?
Mosh is a project that allows developers to launch tokens with 1โ90% of the supply bundled into AI agent wallets, where those tokens are permanently locked. These AI agents act as market makers, with the goal of accumulating both the token and ETH while operating 24/7 without emotions.
Developers earn a percentage of the platform fees, which they can set during the launch.
But what are the actual advantages of this launch model?
Letโs say a developer wants to bundle 70% of a tokenโs supply into AI agents. To do that, they pay approximately $10K in ETH, which becomes the initial liquidity in the LP.
One of the key points here is that a whale canโt simply buy 2% of the supply for $200 and then dump it once the price goes up. The initial market cap is expected to be around 50K+, making that kind of cheap supply acquisition much harder.
I hope Iโve managed to get the idea across well enough for anyone interested to start digging deeper into the project themselves.
Now, coming back to robinhood:0x07ebb29a38fbcb41563817e5e19f2cec619c90d2
Essentially, BUN is the flagship token of the Mosh ecosystem, accumulating fees generated by the platform.
If you believe in the potential of Robinhood Chain and think Mosh can establish its place within that ecosystem, then BUN could have significant upside potential.
Iโm honestly pretty frustrated that I didnโt make this post yesterday, when the price dropped to its lows. It has already bounced back this morning, so please donโt take this as an exit liquidity post. Thatโs not the intention.
I simply wanted to share something I found interesting and potentially valuable, and hopefully give some people a reason to look into Mosh for themselves.
One final note: Mosh is still in beta. However, version v0.1 is already live, with the platform open to developers. Iโve also heard that v1, with additional features, is expected to launch within the next 1โ4 weeks.
As always, do your own research. Iโm sharing my perspective and what caught my attention, not telling anyone what to buy.
Hopefully, someone here finds this useful. ๐ค
extremely cool watching the - until recently theoretical - DIGITAL MATTER THEORY thesis lately getting compellingly realized in the ๐ง#bitmap development scene
DIGITAL MATTER THEORY basically proposes using a common / agreed upon data set as the foundation for a open ecosystem of apps - if all the apps are all built on the same underlying data set this introduces a lot of interesting opportunities for interoperability and blockchain based ownership of cross-platform assets
of course the most decentralized and distributed data set on earth = the BITCOIN blockchain - which makes it an ideal candidate for these kinds of experiments
furthermore bitcoin block data is inherently organized as discreet packets of data - blocks - which makes individual block data an appropriate building material anytime you want to construct a cohesive larger whole where the individual parts each have unique qualities
@BitmapPlotz has so far recently put out 3 simple arcade style games that each turn individual bitcoin blocks into a grid-based 3D spatial map where the attributes of each grid coordinate are determined by data points in the corresponding bitcoin block
same data set --> 3 different gamified, playable interpretations of the data
impressive / ambitious BITMAP metaverse explorer-builder apps by @UrbanBor and @BitmapSunset also interpret the very same bitcoin block data as explorable 3D worlds where users can actually build things on plots corresponding to BITMAPS they own
bitmappers have been excited about the *THEORETICAL POTENTIAL* for this sort of thing since the beginning - about 3 years ago - but only recently the rise of AI powered vibe-coding tools making it possible to ACTUALLY REALIZE THIS POTENTIAL - we are curently witnessing the first wave of simple bitcoin block data / bitmap based apps compelling demonstrating the fully realized potential of #DMT theory โก๏ธ
considering it's still very early days for both ๐ง#BITMAP and AI-vibe coded tools truly no telling what super cool stuff developers will come up with next as this sort of progress rapidly continues ๐๏ธ๐คฏ
Frabex retweeted
AJLA is the first official incubator for the @Moshdottrade ecosystem.
Hereโs what we do, how we build and what weโre looking for ๐
Frabex retweeted
Bullish teams innovating the trenches
PF brought bonding curves, Mosh/ robinhood:0x07ebb29a38fbcb41563817e5e19f2cec619c90d2 is now bringing AI market making / liquid funds to token launches + building ON TOP OF existing top launchpads
so much innovation happening, recommend checking out @ripchillpill's stream on MCG today
Frabex retweeted
Launch requirement: 0 robinhood:0x07ebb29a38fbcb41563817e5e19f2cec619c90d2
Gates are open.
๐ค Made with AI
Frabex retweeted
buyback and burn? nahhhh
its buyback and robinhood:0x07ebb29a38fbcb41563817e5e19f2cec619c90d2 ๐ฅ
Frabex retweeted
seeing some confusion in the $BUN tg about "revenue" vs "fees" vs agent PnL
there are 3 separate money buckets on Mosh and they keep getting mixed up, so here's the breakdown (numbers from Mosh's BUN page as of today)
bucket 1: fees to the bundle backer
every trade in BUN's Pons pool pays a creator fee. 80% of it goes to whoever funded the bundle.
BUN's backer has been paid 83.79 ETH so far (84.17 ETH counting what's still unclaimed), 10.5x the 8 ETH raise. BUN had 1 backer -> the Mosh team
bucket 2: Mosh's revenue
Mosh keeps the other 20% of creator fees, which works out to about ~21 ETH on BUN. it also takes a one-time 5% of every bundle raise to cover the agents' gas and compute for life.
the "Revenue" counter on the homepage is the gross amount. it covers every Mosh launch and includes fees paid to backers, not just Mosh's cut
the team says revenue is being locked in a trading vault with a mandate to accumulate as much BUN as possible. no fixed % yet, they're just loading it up for now
bucket 3: agent vault cash
this is the impressive one. BUN's 3 agents have made 367 trades since launch, buying 1.55M BUN for 8.57 ETH and selling 4.87M BUN for 84.05 ETH.
their average sell is 211% above their average buy, cash is up 75.48 ETH and they still hold 710.96M BUN, ~71% of supply. they've sold less than half a % of their inventory to build that cash.
all 3 agents are in profit, from +15.9 to +39.17 ETH each. Mosh puts the swarm's trading PnL at +83.99 ETH, mostly because the bundle bought its BUN at launch for almost nothing
important to note that ETH stays with the agents
its not revenue and it isn't fees, but it's what lets them keep bidding when the market sells, which keeps volume flowing, which keeps paying fees to the backer
this is how mosh.trade what turns every token launched on Mosh into a lifetime fee generator
Frabex retweeted
$bun ticks every boxes among three
> @Moshdottrade is built on top on Pons atm, it can launch RWA assets fits the cycle.
> Mosh is an Agent As A Service solution who focused on on-chain fair launch to respond the so called "fair launch" on pumpfun-style launchpads. It is not limited on Robinhood chain and can scale up to all chains.
> Built-in swarms agent market making means it can secure a larger liquidity that defends the whales dump from the 20% float circulation. It's a MM team that works 7/24 while it can never leave.
Ppl all looking for the next runner on-chain, 10x in 10 mins, 100x in few days. However what they don't know is 99.9% runners you can see are bundled heavily, only dev/insiders/cabal take profits. If you're the snipers out of the small circle, they might vamp to a new token at no cost.
The reason atm on-chain why a token goes to 100M is also the reason why it can easily dump to 0, snipers got the tokens for free. And 99.9% tokens don't have consistent market making teams to keep liquidity. If the attention goes away, it will die easily.
If you're tired of scams/insiders/PVP, take a look at what's happening on Mosh. So far 50% tokens launched on Mosh (8/16) are growing healthy, truly PVE.
Mosh might not be the place for runners you are searching to gamble and take profits instantly, but it is the best place for ppl who really want to hold and build in long term.
Save the trenches ๐ก๏ธ
Frabex retweeted
Probably worth highlighting again.
solana:5tCju6YNxHq5zrA6tGndr6F7TK42mpUFmeE31cSFpump solana:3Dgwn5E7H5a8k6iGrz3qirkaJqUaJrKHEZ2xPcLRpump and solana:GgdAua8qfnwFKZxKEnDqTcJz5jQ81NURPWBK1qDzpump are all vamps on robinhood:0x07ebb29a38fbcb41563817e5e19f2cec619c90d2
Frabex retweeted
introducing CR2, powered by @Moshdottrade.
your front row to the robinhood ecosystem.
live every tuesday + thursday on X.
with @ripchillpill & @R2D2zen
Frabex retweeted
After a month of robinhood:0x07ebb29a38fbcb41563817e5e19f2cec619c90d2 activity
1/ The algo clearly adapts to market conditions.
But one pattern stands out:
The agents have been net sellers across the major periods analyzed. ๐งต
Frabex retweeted
What if the dev bundle could never be dumped?
On Mosh, it can't.
Bundle capital is locked forever, and agents trade it with strict hourly limits, building capital over time and keeping the market active.
Frabex retweeted
so is @Moshdottrade's robinhood:0x07ebb29a38fbcb41563817e5e19f2cec619c90d2 float actually decreasing, or is that just what it seems on the surface.
here's what's actually happening under the hood:
> 71.1% of supply held by the swarm's 3 agents right now
> 8.2% separately locked in the pons launch locker
> 79.3% of total supply combined, sitting outside the open market
> 76.65 eth paid to backers in fees, 4.3 eth more pending collection
> 958% recovery on the original 8 eth raise
> 30 days since the first trade
that's basically 4 out of every 5 bun already sitting somewhere it can't be sold, and that floor doesn't move backward. the locker's 8.2% is gone for good, full stop.
the swarm side moves with more noise day to day. over the last 24h its own inventory dipped about ~3m robinhood:0x07ebb29a38fbcb41563817e5e19f2cec619c90d2 while agents still marked +77.1 $ETH in trading pnl, proof the swarm can run a profitable book on a day it's actually trimming. that's expected. the mandate isn't to accumulate every single day, it's to accumulate while quoting both sides over the life of the bundle, so you're going to see days it sells into strength and days it buys the dip.
zoom out past the daily noise and the direction of travel is still down for float. the swarm's whole design pushes it to keep pulling bun off the open market over time, and every new mosh launch adds platform revenue that's queued up for the agentic liquid fund (ALF), still under development... but once it ships it becomes a second structural buyer stacked on top of the swarm's own mandate.
that's two separate mechanisms both pointed the same direction: less robinhood:0x07ebb29a38fbcb41563817e5e19f2cec619c90d2 tradeable, not more.
im bullish on this compounding. 79.3% locked today, a swarm whose job is to keep shrinking the tradeable side further, and an ALF that adds buy pressure from every other mosh launch once it goes live. the structure gets tighter, not looser, the longer this runs
im watching the swarm's % and seeing when it climbs above 72% over the next few weeks, and the day the ALF ships
thoughts?



























