The best analogy for mosh.trade is the invention of the seatbelt but for the trenches. Eventually it'll be mandatory and everyone will wonder why it took so long. Can't prevent a crash but it can save lives.

If you’re an influencer, launching anywhere but Mosh opens you up to massive liability. Instead of collecting a check once and ruining your reputation, gain a multi-million dollar income stream and a token that reflects positively on you.

Most people looking at @BundleCatAI / @Moshdottrade are focused on one thing: the Liquidity Swarm. But I think there's a more interesting experiment hiding underneath Mosh's market-making infrastructure. What happens when a memecoin's trading fees start financing an autonomous investment fund? That's the idea behind Agentic Liquid Funds (ALF), and it could become an important part of Mosh's broader economic model. Let me explain. --- ➠ First, follow the money. Remember how Mosh works? Instead of allowing bundlers to accumulate a massive token allocation and dump it whenever they please, Mosh commits that inventory to vaults managed by AI agents. For $BUN, roughly 71.4% of supply sits in the Liquidity Swarm. The agents use that inventory to buy, sell and manage liquidity around the existing AMM. Funders sacrifice access to their original capital in exchange for trading-fee income. But here's what makes BUN different. The team funded BUN's opening bundle themselves. According to @justinbebis, the initial raise was 8 ETH, with 4 ETH used to purchase the opening bundle. The team reported recovering its funding through fees within the first minute and the team claim they've now earned approximately 10× their bundle investment in fees. Instead of holding a large, freely withdrawable token allocation, the team receives income linked to BUN's trading activity. The longer the market stays active, the more fees the bundle can potentially generate. And that brings us to ALF. --- ➠ The second engine: Agentic Liquid Funds Mosh doesn't intend to let all that fee income sit idle. The team's proposed next step is to use eligible bundle revenue to fund a different class of financial agents. Think of it as giving an AI trading desk its own investment budget, financed by the trading fees generated through Mosh. The intended mechanism is straightforward: BUN trading → bundle fees → ALF capital → autonomous trading → ecosystem investment There are now two distinct engines. - The Liquidity Swarm manages a token's market using inventory committed during its launch. - ALF would manage capital generated from fee income, potentially trading BUN and other Mosh-aligned assets. Team has described the idea as extending buyback tokenomics with an active trader attached. An ALF introduces discretion through an automated strategy. It could theoretically accumulate during heavy selling, preserve $ETH when conditions are unfavorable, or deploy capital across several eligible tokens. And unlike burned tokens, assets purchased by a fund can potentially be sold again. ALF is not automatically a buyback-and-burn mechanism. It's an attempt to make fee-generated capital productive. -- ➠ The overlooked BUN connection Creators launching on Mosh may be able to whitelist BUN holders for bundle funding. That gives BUN a role beyond being the first Liquidity Swarm token: potential access to selected launches How it could work: - Hold BUN → qualify for selected bundles - Fund launch inventory (held in agent vaults) - Receive a claim on trading fees Details aren’t final. A whitelist doesn’t guarantee allocation, or profit. Still, it positions BUN as an 'access asset' inside Mosh’s funding system. Together with ALF, Mosh is testing two BUN-linked paths: - BUN holders may get access to future bundle funding - Team-controlled fees may fund agents that can buy BUN (and other ecosystem assets) At scale, the pitch is a very interesting flywheel: More launches → more trading → more fees → more ALF capital → more ecosystem investment. Personally, if Mosh can demonstrate that both operate sustainably, it could have something more substantial than an AI-powered memecoin launch mechanism. But until the capital flows and investment results are verifiable, ALF remains an intriguing extension of the original experiment rather than proven token value accrual. NFA. DYOR.

I'm sure you've seen Bundle Cat on the Pons home page recently. Believe it or not, there's some incredible tech under the hood. Learn about Mosh and our plans for $BUN in this article:

big bun energy going around

Just $BUN it.

Yesterday I mentioned a project that might evolve into a new building block for token launches. Meet @BundleCatAI / $BUN. On the surface, BUN could pass for “just another memecoin.” In reality, it’s the first live test for something much larger running underneath: Mosh Trade and its Liquidity Swarm. Most small launches replay the same script: Launch → early wallets load up → hype tops out → they dump → volume dries up → liquidity thins → everyone moves on. And it’s not merely a price issue. Most micro-caps lean almost entirely on passive AMM liquidity. There’s no one actively working the book, managing inventory, tightening/widening spreads, shifting bids and asks, reacting to changing conditions. Yes, professional market makers do that, but they’re fucking pricey, hard to onboard, and often a black box (there's a reason why WM is so infamous). Simply put, smaller teams or even solo devs may not even be sure if the “MM” is supporting the market or simply trading around them. Mosh’s goal is to automate that whole role. Instead of paying a traditional market maker, a launch raises capital to fund a large opening bundle. That bundle buys a meaningful chunk of the token supply. Normally, one entity holding that much would scream “run.” Mosh inverts the logic. The bundled inventory is deposited into agent-controlled vaults, effectively the balance sheet for a swarm of AI market-making agents. So the pipeline becomes: Crowdfunded capital → large token bundle → agent vaults → AI Liquidity Swarm → adaptive bids + asks The launchpad and AMM continue to serve as the launch infrastructure and baseline liquidity. The swarm operates around it, buying and selling dynamically as conditions shift. In theory, the agents can manage inventory, tune spreads, react to order flow, and provide liquidity in places a passive AMM simply won’t. That’s also why the first POC of Mosh, BUN’s distribution looks so strange. About 71.4% of BUN supply sits across three swarm wallets. For almost any other token, that would be a nightmare. Here, the concentration is the feature. One key nuance, though: That 71.4% isn’t burned or taken out of circulation. It’s more accurate to think of it as swarm-managed inventory. Agents can sell BUN into demand, build up $ETH, then recycle that ETH to bid BUN when sell pressure hits. Over time, the intended loop is: trade → earn fees/PnL → recycle capital → deepen liquidity → support more volume → earn more fees And this is where Mosh becomes more interesting than simply "AI market making." The capital used to create the bundle is meant to remain productive indefinitely. Funders provide the initial capital and, instead of simply withdrawing their principal later, gradually earn it back through trading fees. Mosh's model estimates breakeven at roughly 100× cumulative trading volume relative to the original funding, with everything above that becoming return (this subjects to change as the official docs updated with latest figures from performance) So Mosh is effectively combining crowdfunded market making + permanent inventory + autonomous trading agents. And $BUN is the first live proof-of-concept (kinda similar position with $AI from LONG). One important clarification, though: Mosh is not really anti-bundler. @ponsdotfamily V2 already has aggressive anti-snipe mechanics, including a launch tax that starts near 99% and decays over the opening window, alongside launch-and-buy mechanics and whitelisted launchers. Mosh takes a different approach. It does not try to eliminate the bundle. It tries to make the bundle non-extractive. Instead of the biggest early wallet eventually becoming the biggest seller, Mosh wants that inventory to become the token's permanent market maker. Mosh turns the bundle from exit liquidity into AI-driven liquidity infrastructure. Currently, they plan to refine the agentic swarm parameters and launch the liquidity swarm publicly after.

Join me tomorrow to discuss AI trading and Hyperliquid

Update: Perfectly played. Holy shit @Cod3xOrg

This is true. With the right policies agents will actually help keep you in the market longer since it won't just burn the entire stack like an emotional buffoon chasing the dragon.

Proud to see $CDX mature to match the ambition of the underlying. The best AiFi-DeFi hybrid now, no doubt.

The big news continues for UV Labs: UV has been accepted into the NVIDIA Inception program. @nvidia has built the infrastructure that the AI era runs on. Being recognized by them, and welcomed into their ecosystem, means a lot to us and we're genuinely looking forward to growing alongside the builders and companies in their network. #NVIDIAInception

Congratulations to everyone accepted to the 0g + Stanford Apollo accelerator :) The acceptance rate of 4% is equivalent to the acceptance rate of getting into Stanford, proud of the amazing teams…

We tested Arcee AI's new Trinity Large Thinking model in the Cod3x workflow. First trade? +16.04% in just a few hours. It does a great job of handling requests that very few models can, especially in Direct and ReAct modes. Great work @arcee_ai @PrimeIntellect @datologyai

Cod3x - the only fully autonomous natural-language trading product in the world. Come see why. 📈

There's not much literature about training financial LLMs. I'll be working hard to change that this year. Years working on @Cod3xOrg has given us deep insight into frontier models' weaknesses, and a lot of data to solve them. First writeup tomorrow via @uv - follow 🫡

COD3X stands in it's own lane. When you use it you can see why.