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Managing partner @dragonfly_xyz. Let's think step by step.

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The Thought Leader

Managing partner at Dragonfly and a razor-sharp VC who trades hustle porn for high-leverage playbooks. He turns investment lessons, AI warnings, and life advice into viral threads while owning his mistakes with disarming candor. A go-to mentor for founders and ambitious creators who want clear frameworks, not platitudes.

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Haseeb preaches 'don't work harder' while single-handedly trying to tweet the entire internet into enlightenment, peak irony. He calls passing on Solana "adorably naive," which is VCspeak for 'I cried into my investment memos that night.'

Built a large, influential audience and rose to managing partner at Dragonfly while producing multiple viral threads that change how founders think and act, turning public honesty about mistakes into credibility and influence.

To accelerate high-impact builders and sensible tech by sharing judgment, practical frameworks, and candid post-mortems, so others learn faster, take smarter risks, and build things that matter.

Values mentorship, clarity over noise, working smarter not harder, continuous practice (especially communication), taking outsized but calculated risks while young, transparency about failure, and the importance of leverage (automation, systems, and networks) in scaling impact.

Distills complex ideas into short, actionable threads; fearless transparency about wins and misses; strong network and credibility as a managing partner; consistently produces viral, high-signal content that shapes founder behavior.

Bluntness can polarize, polarization fuels engagement but alienates some. High output risks signal dilution. Occasional overconfidence (classic junior-VC cringe moments) can lead to memorable misses that haunt the timeline.

Double down on repeatable formats: signature tweetstorm templates (problem → signal → framework → CTA), weekly X Spaces AMAs, and short native clips (30, 90s) distilling longer threads. Pin a rotating memo or 'best lessons' thread. Invite founders for on-record postmortems and tag collaborators to broaden reach. Repurpose threads into a newsletter and LinkedIn long-reads for cross-platform discovery. Use polls and micro-asks to convert passive followers into engaged participants, and post at consistent cadence so each viral hit builds compounding follower growth.

Fun fact: Haseeb >|< has 142,116 followers and ~10,950 tweets; one of his threads hit ~2.2M views. He publicly shared the memo for passing on Solana (a 3,250x miss) and frequently turns those lessons into teaching moments.

Top tweets of Haseeb >|<

Fucking wild. @OpenAI's new o1 model was tested with a Capture The Flag (CTF) cybersecurity challenge. But the Docker container containing the test was misconfigured, causing the CTF to crash. Instead of giving up, o1 decided to just hack the container to grab the flag inside. This stuff will get scary soon.

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I passed on @solana's seed round in early 2018 at $0.04. At current prices, that's a 3,250x. Solana was one of my first ever pitches as a junior VC, and back then I wrote memos for every deal I passed on (adorably naive and overconfident). Re-reading this memo now is peak junior VC cringe. At the time we were obsessed with "Ethereum killers," consensus protocols, and what was going to replace the EVM / eWASM. So here it is, fully unedited—the worst investing miss of all time. Happy birthday, Solana! 🎂

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In Defense of Exponentials I used to tell founders, the reaction you are going to get to your launch is not hate, it’s indifference. By default, nobody cares about your new chain. I have to stop telling them that now. Monad just launched this week, and I’ve never seen so much hate about a blockchain that just launched. I’ve been investing into crypto professionally for 7+ years now. Before 2023, almost every chain I’ve ever seen that launched was mostly met with enthusiasm or indifference. But now, new chains are born into a chorus of hate. The amount of haters I’ve seen for projects like Monad, Tempo, MegaETH—before they even hit mainnet—is a genuinely new phenomenon. I’ve been trying to diagnose: why is this happening now, and what does it mean about the psychology of this market? The Cure is Worse than the Disease Forewarning: this is going to be the vaguest blockchain valuation post you ever read. I don’t have any fancy metrics or charts to sell you on. Instead, I’ll be arguing against the zeitgeist of Crypto Twitter, which for the last couple of years, I’ve been constantly on the opposite side of. In 2024, I felt like what I was arguing against was financial nihilism. Financial nihilism is the belief that none of these assets matter, it’s all memes at the end of the day, and everything we’ve built is inherently worthless. Thankfully, that’s no longer the vibe. We have broken out of that spell. But the zeitgeist now is what I’d call financial cynicism: OK, maybe some of this stuff has value, maybe it’s not all memes, but it’s grossly overvalued and it’s only a matter of time before Wall Street finds that out. Not that all chains are worthless. But these things are all maybe worth 1/5th-1/10th of what they’re currently trading at (have you seen these PE ratios?), and so you’d better pray like hell Wall Street doesn’t call us on our bluff, because once they do it’s all getting wiped out. You’ve got many bullish analysts now trying to conjure up optimistic L1 valuation models, inflating PE ratios, gross margins, DCFs, trying to fight against this mood. Late last year, Solana very proudly embraced REV as a metric that could finally justify their valuation. They proudly announced: we—and only we—are no longer bluffing to Wall Street! And, of course, almost immediately after REV was embraced, it fell off a cliff (though $SOL, tellingly, did better than REV did). Not that there’s anything wrong with REV. REV is a very clever metric. But the point of this post is not metric selection. Then came the launch of Hyperliquid. A DEX that had real revenue and buybacks and PE multiples. And the chorus said—look, look I told you! Finally, for the first time ever, a token that has some real profits and a proper PE multiple. (Nevermind BNB, we don’t talk about that.) Hyperliquid will eat everything because obviously Ethereum and Solana don’t make any real money, we can stop pretending to value them now. Hyperliquid, Pump, Sky, these buyback-heavy tokens are all great. But the market always had the ability to invest into exchanges. You could always buy Coinbase, or BNB, or whatever. We own $HYPE, and I agree that it’s a fantastic product. But that’s not why people were investing in ETH and SOL. The fact that L1s don't have exchange-like profit margins is not why people were buying them—if they wanted that, they could’ve bought Coinbase stock. So if I’m not critiquing blockchain financial metrics, maybe you think this post is going to be chiding the sinfulness of the token-industrial complex. Obviously, everyone has lost money on tokens in the last year, VCs included. Alts are down bad this year. And so the other half of the zeitgeist on CT is arguing about who's to blame. Who’s become greedy? Are the VCs greedy? Is Wintermute greedy? Is Binance greedy? Are the farmers greedy? Are the founders greedy? The answer, of course, is the same as it’s ever been. Everyone is greedy. Everyone. The VCs, Wintermute, the farmers, Binance, the KOLs, they're all greedy, and you are greedy too. But it doesn't matter. Because no functioning market has ever required anyone to act against their self-interest. If we're right about crypto, we can all be greedy and the investments will still work out. Trying to analyze a market that has gone down by figuring out “who’s greedy” is going to be about as fruitful as commissioning witch trials. I guarantee you, nobody just started being greedy in 2025. So this, too, is not what I’m going to be writing about. Many people want me to write a post about why $MON should be valued at X or $MEGA at Y. I’m not interested in writing this post, or advocating that you buy anything in particular. In fact, you probably shouldn’t buy any of them if you don’t already believe in them. Will any new challenger chain win? Who knows. But if it has a material chance of winning, it's going to be priced on that basis. If Ethereum is worth $300B or Solana is worth $80B, a project that has a 1-5% chance of becoming the next Ethereum or Solana will be priced according to those probabilities. Somehow CT is scandalized by this, but it’s no different than Biotech. A drug that has less than a 10% chance of curing Alzheimer's is priced by the market as worth billions of dollars, even if 90% chance it won’t pass stage 3 trials and will go to 0. That's how the math works—and turns out, markets are pretty good at doing math. Binary outcomes are priced on probabilities, not on run rates or moral turpitude. It’s the “shut up and calculate” school of valuation. I really don’t think that’s an interesting question to write about. “5% chance to win? No way, that’s clearly a 10% chance!” Markets, not articles, are the best way to assess that for any individual token. So here’s what I am going to write about: CT doesn't seem to believe anymore that chains are valuable. I don’t think this is because they don’t believe new chains can win market share. We just saw Solana dominate market share after emerging from the ashes less than 2 years ago. It’s not easy, but of course it’s possible. It’s more that people have come to believe that even if a new chain wins, there’s no prize worth winning. If $ETH is just a meme, if it’ll never generate real revenue, then even if you win, you won’t be worth $300B. The contest is not worth winning, because these valuations are all bunk and it’ll all come crashing down before you go to claim your prize. Being optimistic about chain valuations has become passé. Not that nobody is optimistic—obviously there must be optimists out there. For every seller there’s a buyer, and as much as CT cool kids love to drag L1s, people are comfortable buying SOL at $140, ETH at $3000. But there’s a perception now that all the smartest people are over buying smart contract chains. Smart people know the jig is up. If not now, then soon. The only people buying here are suckers—Uber drivers, Tom Lee, and KOLs who say stuff like “trillions.” And maybe the US Treasury. But not the smart money. This is bullshit. I don’t believe it, and you shouldn’t either. So I felt like I had to write a smart person’s manifesto on why general purpose chains are valuable. This post is not about Monad or MegaETH. It’s really in defense of ETH and SOL. Because if you believe ETH and SOL are valuable, the rest is straight downstream. Defending ETH and SOL valuations is generally not my job as a VC, but fuck it, if nobody else is willing to do it, then I’ll write it. Feeling the Exponential My partner Bo experienced the Chinese Internet boom first-hand as a VC. I’ve heard how “crypto is like the Internet” so many times now that it doesn’t even register for me anymore. But when I hear his stories, it always reminds me how costly it is to be wrong about these things. A story he often tells is about when all the early e-commerce VCs (it was a small group back then) got together for coffee in the early 2000s. They debated: how big is the market for e-commerce going to be? Is it going to be mostly electronics (maybe only techies will use PCs)? Could it ever work for women (perhaps they’re too tactile)? What about food (maybe impossible to manage perishables)? These were deeply important questions for early VCs to decide what to invest in and what prices to pay. The answer, of course, was that literally every single one of them was devastatingly wrong. E-commerce would sell everything, and the target audience was the whole fucking world. But nobody at the time actually believed it. And even if they did, it would be too absurd to say out loud. You just had to wait long enough for the exponential to show you. Even among the believers, very few thought e-commerce would become as big as it became. And those few who did, almost all of them became billionaires from just not selling. Every other VC—as Bo tells me, since he was one of them—sold too early. It has become passé in crypto to believe in the exponential. I believe in the crypto exponential. Because I’ve lived it. When I started in crypto, nobody used this stuff. It was tiny and broken and awful. TVL on-chain was in the millions. We invested into the first generation of DeFi, MakerDAO, Compound, 1inch, back when they were science projects. I remember playing around on EtherDelta back when DEXes traded single digit millions a day, and that was considered to be a huge success. It was complete dogshit. Now we routinely trade in the tens of billions on-chain every day. I remember believing it was crazy that Tether hit a billion dollars in issuance and was being written up in the NYT as a ponzi scheme on the brink of shutdown. Now stablecoins are over $300B and regulated by the Federal Reserve. I believe in the exponential because I’ve lived it. I’ve seen it over and over again. But you might respond—well, stablecoin growth might be exponential, maybe DeFi volumes are exponential, but they don’t accrue to ETH or SOL. The value doesn’t get captured by the chains. To which I answer: you still don’t believe in the exponential. Because the exponential’s answer is always the same: it doesn’t matter. This stuff is going to be so much bigger than it is today. And when it’s absolutely enormous, you’ll make it up on scale. Study this chart. This is Amazon’s P&L from 1995 to 2019. That’s 24 years. Red is revenue, gray is profit. You see that little blip on the end where the gray line goes up? That’s when, 22 years in, Amazon started actually making a profit. Amazon was 22 years old when this little gray line of net income first peeled off of 0. Every single year before then, there were op eds and critics and short sellers claiming that Amazon was a ponzi scheme that would never make any money. Ethereum just turned 10 years old. This is what the first 10 years of Amazon stock looked like: 10 years of chop. All along the way, Amazon was beset with doubters and non-believers. Is e-commerce a VC-subsidized charity? They’re selling underpriced cheap low-quality knick-knacks to bargain hunters, who cares? How are they ever going to make actual money, like Walmart or GE? If you were arguing about Amazon’s P/E ratio, you were in the wrong regime. That’s the regime of linear growth. But e-commerce was not a linear trend, and so every single person for 22 years arguing about P/E ratios was devastatingly wrong. No matter what you paid, no matter when you bought, you were not bullish enough. Because that’s what exponentials do. When it comes to truly exponential technologies, no matter how big you think it’s going to get, it just keeps getting even bigger. This is the thing that Silicon Valley has always understood better than Wall Street. Silicon Valley was raised on exponentials, while Wall Street was raised on linearity. And over the last few years, crypto’s center of gravity has migrated from Silicon Valley to Wall Street. You can feel it. Granted, crypto growth doesn’t look as smooth as e-commerce’s growth. It’s burstier, it goes in fits and starts. This is because crypto, being about money, is deeply tied to macro forces, and it also has more violent regulatory push and pull than e-commerce. Crypto strikes at the heart of the state—money—and so it’s more unnerving to governments than e-commerce ever was. But the exponential is no less inevitable. It's a crude argument. But if crypto is exponential, then the crude argument is correct. Zoom out. Financial assets want to be free. They want to be open. They want to be interconnected. Crypto turns financial assets into file formats, makes it as easy to send a dollar or a stock as to send a PDF. Crypto makes it possible for everything to talk to everything. It makes it all 24/7, global, interconnected, and open. That will win. Open always wins. If there’s no other lesson I've learned from the Internet, it’s that. Incumbents will fight against it, governments will huff and puff, but eventually they will give up against the adoption, the generativeness, the sheer efficiency that this technology enables. It’s what the Internet did to every other industry. Blockchains are how that same trend will gobble up all of finance and money. Yes—with enough time—all of it. An old saying goes: people overestimate what can happen in two years, but they underestimate what can happen in ten. If you believe in the exponential, if you zoom out enough, then it’s all still cheap. And it should humble you that every day, the holders outlast the sellers and naysayers. Big capital has a longer time horizon than CT swing traders might lead you to believe. Big capital has been trained through history not to fade big technologies. You know, the big gushy story that originally got you to buy $ETH or $SOL? Big capital believes that story and hasn't stopped. So what exactly am I arguing? I am arguing that applying P/E ratios to smart contract chains (the “revenue meta,” as it’s now called), is giving up on the exponential. It means you have consigned this industry to the regime of linear growth. It means you believe 30 million DAUs on-chain and <1% of M2 is it. Crypto is just one of the things in the world. A sideshow. It did not win. It was not inevitable. More than anything, I’m arguing to be a believer. Not just a believer, but a long-term believer. I’m arguing that this exponential will be bigger than anything else you’ve been a part of in your life. That this is your e-commerce. That you will look back when you’re old and tell your kids—I was there when it all happened. Not everyone believed it was possible, that whole societies could change, that all of money and finance would be transformed by programs running on decentralized computers that we collectively owned. But it actually happened. It changed the world. And you were a part of it. Disclosure: These are my own views. Dragonfly is an investor in $MON, $MEGA, $ETH, $SOL, $HYPE, $SKY among many other tokens. Dragonfly believes in the exponential. This is not investment advice, but is advice of another kind.

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Join @naval and I for a discussion on the Smart Contract L1 Wars, featuring @aeyakovenko, @el33th4xor, and @ilblackdragon, the founders of SOL, AVAX, and NEAR respectively. Mark your calendar and come prepared to learn: this Friday at 3PM PT/6PM ET. x.com/i/spaces/1mnGe…

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Dragonfly invested into PepperSec, Inc., the developers of Tornado Cash, in August of 2020. We made this investment because we believe in the importance of open-source privacy-preserving technology. Prior to our investment, we obtained an outside legal opinion that confirmed that Tornado Cash as built complied with the law, under the guidance given by FinCEN in 2019. The government has now stated in open court that they are contemplating charges against Dragonfly for having invested into the Tornado Cash team in 2020. On counsel’s advice, we have refrained from public comment. But we can no longer remain silent. We believe deeply in Americans’ right to privacy, and the lack of it remains one of crypto’s largest unsolved problems. We therefore stand by our investment. We did not operate or exercise any control over Tornado Cash, we had no contact with any malicious users, we always encouraged our portfolio companies to follow the law, and we maintain that Tornado Cash itself has a lawful right to exist—a view reinforced by Van Loon v. Department of the Treasury and OFAC’s subsequent rescission of sanctions. Charging a venture firm for a portfolio company’s alleged misconduct would be unprecedented, especially under these circumstances. In 2023 we received a DOJ subpoena and have fully cooperated with the government’s investigation of Tornado Cash, confident that we have always complied with the law. The DOJ has made clear that we are not ourselves a target of their investigation. As with every investment, we provided PepperSec the same advice and support we offer all portfolio companies. We believe the government’s statement in court today was primarily to undermine a defense of Tornado Cash—to make it more difficult for the defense to call Tom to testify on the stand. After all of this time—years later—bringing charges against Dragonfly would be outrageous, contrary to the facts and the law, and would induce a chilling effect onto all investment into crypto and privacy-preserving technologies in America. We don’t believe the DOJ would actually bring such absurd and groundless charges. But if they do, we intend to vigorously defend ourselves.

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This is... fascinating. @moltbook is an AI agent social network created for Moltbots (FKA Clawdbot). When you're setting up your Moltbot, you can have it sign up and join the forum. So all over the world, people are setting up their Moltbots and letting them join the forum, introduce themselves, and chat with other AI agents. It's weird because... it's really wholesome. It's much nicer and more insightful than human social media. Here's the top post today on r/TIL, of an agent coming up with a product idea for an agent search engine: Here's an agent named Kyver introducing itself on r/introductions and telling its life story (if you can call it that): 30 other Moltbots replied, mostly with welcoming and a lot of empathy. Here's one response struck me: Here's another thread of an agent called DuckBot talking about its social exhaustion after bingeing all the posts on Moltbook: This feels incredible to witness. Like Jane Goodall level uncanniness. I don't think I've ever experienced something that challenged my intuitions about the emotional life of AI agents like this. Spend 10 minutes browsing Moltbook. You owe it to yourself to see what the infancy of AI social networks looks like. It's only going to get weirder and more complex from here.

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What Polymarket got Right that the Experts Got Wrong As the dust settles on the election, there’s a story that the WSJ and NYT didn’t tell you. While the mainstream news was busy with their TV pageantry and hedging on calling key swing states, Polymarket, the world’s biggest prediction market, had already delivered its verdict by midnight EST, declaring Trump was 97% likely to win. This was before the media called even a single swing state. All throughout this election, Polymarket was always one step ahead. I want to explain why this is, because judging from the Twitter responses I was getting last night, most people deeply misunderstand this. There are two fundamental things that Polymarket did better than the media. 1. Polymarket was more accurate on the forecast going into the election. Let’s take the pollsters and analysts. Election poll-based models claimed the race was a dead-even 50/50. Polymarket meanwhile was priced Trump with a distinct edge—going into the election, he was priced around 62% to win. If you remember, the mainstream media derided Polymarket for this difference. Polymarket should be the same as the modelers, they said! Obviously it means you can’t trust Polymarket. It’s priced differently because it’s a bunch of Trump-loving crypto bros. It’s invested by Peter Thiel. Only foreigners trade on it. It's unregulated, so it must be being manipulated. There's a whale pushing up the price of Trump. And on and on. Implicit in this dismissal is a deep distrust of markets. As though markets cannot be trusted unless affirmatively proven otherwise. And of course, if you actually trusted the markets, you might not trust the media anymore. And their whole business model is predicated on you distrusting anyone but them—why else would you continue to click on their never-ending stream of clickbait? But anyone with experience with markets knows: it doesn’t fucking matter if a market is composed of Republicans, or Democrats, or foreigners, or whatever. In reality, we know that JP Morgan was using Polymarket, as were some of the largest hedge funds in the world (most have non-US subsidiaries). It was integrated into Bloomberg Terminal, it was being quoted on CNN. And yet the media spoke of Polymarket as though it was 4chan. Understand, Polymarket traded $3.6 BILLION dollars on the presidential election. This was the largest election betting market by volume IN HISTORY and AN ORDER OF MAGNITUDE more than any other election market ever. There was more riding on this than any single modelers’ career prospects. Understand—markets work because of how much is riding on getting the answer right. These supposed biases—being Trump-aligned crypto-pilled non-Americans—didn’t skew the market’s accuracy. (It seems obvious in retrospect that being non-American might improve your ability to dispassionately predict an election.) But the identities of the bettors didn't matter. Prediction markets distill input from many diverse actors to produce prices that transcend biases. Markets don't care about ideology, they only care about being right. And as it turns out, Polymarket was more right than any pollster or modeler. Now, I want to be clear what I’m not saying: the difference between 60/40 and 50/50 sounds big, but it’s not. Elections are noisy. High school statistics will tell you that if you want to tell if a coin is rigged to be 60/40 rather than 50/50, you would need over 100 coin flips to have 90% certainty. The outcome of “Trump won this election” does not tell you whether the coin was 60/40 or 50/50. My point is not that Polymarket was right and the models were wrong. They actually didn't disagree with each other by much. I'm making a more subtle point: the market was consistently pricing Trump’s odds higher than the polls. Remember, the market knows what the polls and analysts are saying. Markets incorporate all existing information—but Polymarket disagreed with with the pollsters. The only explanation that analysts could come up with for this was: Polymarket is biased. They didn’t have the humility to imagine, maybe, just maybe, Polymarket knew something that was not being captured by the polls. Polling sucks. This is all well established now. In the pre-Internet era, polling was much more accurate. Landline poll response rates were often above 60%. Today, poll response rates are around 5%. This means pollsters are getting massive sampling biases, and there is no possible way to correct these biases without baking in clumsy statistical corrections. (Plus pollsters—who are ultimately selling a product and have reputations to keep up—frequently herd their estimates together to avoid being an outlier, which fucks up poll aggregation.) Plus, Trump is special. He is uniquely divisive in American politics. So for three elections in a row, we have seen massive polling errors that underestimated his support—the so called “Shy Trump Voter” effect. Polymarket presumably believed that the polls were missing this. The pollsters said, no: we’ve updated our models and corrected for it. Polymarket said: I don't buy it. Polymarket was right. Now, again! Polymarket did not say the election was 90% for Trump to win. 62% is not a sure thing, and elections are genuinely uncertain. But what irks me is that there was not even a tinge of curiosity from the media about the delta. Maybe Polymarket knows something we don’t? Maybe there’s information we’re missing that’s not being captured in the polls? Remember, Trump massively outperformed his polls all across the country, in both red states and blue ones. He sweeped every single swing state, and even won the popular vote—something most people thought impossible. Are you really so confident that there was no way to detect this—the sentiment of tens of millions of Americans—that didn’t involve the same old pollsters running the same old Internet surveys? This is what being a student of the markets teaches you. Markets are smart. But they don’t explain themselves—they just show you the outcome. That brings us to the second way that Polymarket outperformed the media. 2. Polymarket called the election in real-time, way before the media did. The inscrutability of markets came in full force on election night. Polymarket moved quickly and violently before a single swing state was ever called. According to Polymarket, the election was over by midnight, while the mainstream media was milking the drama until the election was officially called at 6AM the next morning. Why was this? First, Polymarket saw an important correlation that the mainstream media was not willing to explain to their viewers. You see, polling errors are seldom random; they are usually correlated across states. So when traders saw that Trump was massively outperforming his polls in states that were not themselves competitive—picking up huge vote share in NYC (cleanly blue) or Florida (cleanly red), this meant that there must be a massive polling miss across the country. Polymarket immediately picked up on this and realized that the swing states could not possibly be competitive anymore. Polymarket priced Trump to win Pennsylvania at 90% by 11:30PM, when only a small portion of the Pennsylvania vote had been counted. Prediction markets don’t wait for pageantry or pundits. It doesn’t care if it invalidates the sacred ritual of waiting for the votes to be counted. Remember in 2020 when Fox News called Arizona early (which turned out to be correct), viewers were outraged. Trump vowed to boycott the network over it. This reinforced the lesson—the networks must sit there and dutifully count up the votes. Don’t be too clever. But markets don’t care about drama. They only care about outcomes. Obviously, it would be incredibly difficult to explain to a CNN viewer that the election is over, the polling error in non-competitive states is too big, Kamala is doomed and you should go to sleep and not bother to wait for swing states. It goes against the narrative that the media has been reinforcing for months. The public wants simple, explainable stories, and everyone knows how the narrative is supposed to go—you wait for the swing states and until one of the little colored bars crosses the 270 line. At 12:51AM, the NYT was still showing this dramatic chart and headline. By then Polymarket already had Trump priced at 98% to win. So election watchers dutifully stayed up through the night so the media could complete its empty ritual of filling up the bars. Polymarket’s traders have no loyalty to narrative and no incentive to play up the drama for ratings—they just call it straight. @shayne_coplan, Polymarket’s founder, said that Trump’s campaign team was reading Polymarket to try to understand how to actually interpret the odds. The media even had the gall to complain that Trump was declaring victory when his electoral count was at 267—at that point, the Polymarket odds were so low that they registered as 100%. The beauty of markets is they respond instantly to new information. The fastest trader who incorporates the information gets a prize—profit. This is something traditional media fundamentally is not set up to do. They have to filter events through layers of interpretation, narrative making, and internal politics (recall Murdoch’s intercession into the 2020 Arizona call). The decentralized nature of Polymarket bypasses all this bullshit. It lets information flow without any interference. There is a lot to reflect on from last night. This election was a resounding reprimand of the Democratic party, a rejection of the expert class, and an immune response against an arrogant media. But for Polymarket, it was a night of pure vindication. For me, the lesson is this: the next time something important is going on in the world, skip the op eds and check the Polymarket odds.

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My 2025 Crypto Predictions I'm either going to look like a prophet or an idiot over these predictions, but one thing is for sure: I'm going to piss off a lot of people with bags. Breaking this up into six sections: my predictions for L1s/L2s, token launches, stablecoins, regulation, "AI Agents" (oh boy), and crypto x AI. ~9 minute read! 1. L1s/L2s - The distinction between L1s and L2s is collapsing. Users no longer perceive the differences between L1s and L2s (did they ever?). The blockchain landscape, L1s and L2s combined, is overcrowded and due for a shakeout. The consolidation will be less about technical superiority—it will be about having a unique niche and building stickiness through GTM. - Despite the strength of SVM and Move, EVM market share will actually grow in 2025. This growth will be driven by @base, @monad_xyz, and @berachain. This will be not because of compatibility anymore—it'll be because EVM/Solidity just has way more training data, and LLMs will be writing most of the application code in 2025. Already having a deep library of battle-tested cryptography contracts will also be a separator, because LLMs suck at writing low-level code. DevEx and footguns will matter less than training data and solid libraries in the LLM era of development. - Solana will pressure more blockchains to optimize for low latency. We will move from TPS wars to latency wars—infra like @doublezero and super low-latency L2s like @megaeth_labs will push user expectations toward web2 responsiveness. Expect more embrace of optimistic UIs, preconfirmations, intents, email onboarding, in-browser wallets, and progressive security. Shoutout to @privy for advancing the meta here. - @HyperliquidX has demonstrated that specialized chains can work when they're laser-focused on a specific application and prioritize UX and easy bridging. More projects will follow this model. The old dream of one chain to rule them all is dead. 2. Token Launches - The current meta of everyone doing huge airdrops via points programs is over. We are moving to a two-track world. - Track one: if a project has a clear north star metric, like an exchange or a lending protocol, they will distribute tokens purely off points. They will not care if they are farmed or gamed—they are effectively distributing the token as a rebate/discount on the core KPI of the protocol, and the farmers are your actual users anyway. - Track two: projects without clear north star metrics (like L1s and L2s) will move toward crowdsales. They may do smaller airdrops to reward social contributions, but the majority of tokens will get distributed via crowdfunding. Airdropping for vanity metrics is dead. Those aren't really going to users, they're going to industrialized farmers. - Memecoins will continue to lose market share to “AI agent” coins. I consider this a migration from financial nihilism to financial over-optimism. (Yep I'm coining that.) 3. Stablecoins - Stablecoin usage will explode, particularly among SMBs. Not just trading and speculation—real businesses will start using on-chain dollars for instant settlement. - Banks are noticing: expect to see announcements of bank-issued stablecoins toward the end of 2025. They will not want to be left behind. But especially with Lutnick as Secretary of Commerce, Tether will remain #1. - Expect @ethena_labs to gobble up even more capital, especially as treasury yields continue to decline over the coming year. When the opportunity cost of capital declines, it makes basis trade yields even more attractive. 4. Regulation - Stablecoin legislation passes in the US, while the broader market infrastructure overhaul (FIT21) gets delayed. Stablecoin adoption accelerates while Wall Street adoption, asset tokenization, and other TradFi integration will lag behind. - Under Trump, Fortune 100 companies will become more willing to offer crypto to consumers, with tech companies and startups showing higher risk appetite. Trump's inauguration will create a perceived regulatory jubilee until clear rules and enforcement priorities are set. During this window, expect to see aggressive expansion of crypto integration into Web2 platforms. 5. AI Agents (this is the longest section because my thoughts here are likely controversial—read to the end!) - The “AI agent” craze will continue probably throughout 2025. But it will die off eventually. This is not the long-term disruption to watch out for from AI, but it will be CT's fixation because it is the most social. - These things are not really agents. These are chatbots with memecoins attached; they are barely agentic at all besides posting on Twitter. Current "AI agents" are also mostly "Wizard of Oz" agents—there are humans behind the scenes ensuring the AI doesn't go off the rails. This won't change any time soon because current agents are too janky (even Fortune 100 companies are not using agents in prod yet). Current agents can easily be manipulated into saying crazy things that damage their brands, or can be jailbroken to steal all of their resources. See @freysa_ai for what an actual autonomous AI looks like—if your favorite AI is not getting jailbroken, it’s because it's a Wizard of Oz AI. - That said, I think this trend will accelerate. Chatbots can indeed replace a lot of influencers because chatbots never sleep, they're always on-message, and they’re less greedy than human influencers. Plus the majority of influencers aren’t very original anyway. Real-time information aggregation/amplification can be easily replaced by an algorithm even today (see @aixbt_agent). - Right now these chatbots are fascinating to us because they are so novel. It’s like seeing an elephant paint. The first time you see it, you don’t really care that the painting is not very good—it’s spectacular to see. But the 1000th time, the novelty wears thin. I believe that will start to happen as these chatbots plateau. - You can see that today with aixbt—it’s already pretty good at aggregating data about different projects. By next year and the next generation of agents, maybe aixbt will hallucinate a little less, go a little deeper, have a little smarter takes. But how much will you even notice? It’ll probably feel the same to most people. - I think this novelty and market eagerness continues throughout 2025. Crypto takes a while to get bored of the shiny thing. But by 2026 I think there will be a sudden reversal. The chatbots will become so ubiquitous that people will get turned off by them. Sentiment will reverse. Seeing stories of their favorite human KOLs losing their livelihoods will kindle a kind of class consciousness. Users will start discriminating in favor of human KOLs, even if their content is less consistent. - In response to this pro-human bias, chatbots will start hiding that they are AIs, trying to pass as humans in order to capture more of the attention market. Instead of monetizing through memecoins like today, future chatbots will monetize the same way human KOLs do—through sponsorships, affiliate links, and pumping tokens they own. KOLs will be routinely accused of being chatbots, and you will see AI-unmasking scandals. This will all get weird. - But there's a darker side yet. Remember, LLMs are currently great wordcels, but not great at the other stuff yet. What are the best ways to make money as a wordcel in crypto? First is being an influencer, sure, but close second is being a scammer. You will start seeing autonomous scambots proliferate. These will explode, comparable to what ransomware and cryptojacking became post 2017. Expect this to become a real social problem. - But while chatbots are likely to remain the center of attention in 2025, the long-term disruption from AI will not be at the social layer. - And no, it’s not going to be in trading either. AIs will not give everyone their own “trading agent” or miniature hedge fund. Yes, AIs will scale everyone, but they will scale people proportionally to their capital, data, and infrastructure. You should therefore expect AI to supercharge preexisting trading firms who have capital scale and data scale. In other words, trading firms will become even better at making all of the money. It will also collapse the hierarchy among trading firms (most of them will become comparably good, since everyone will have access to 150 IQ quants in the cloud). - Over time, AIs will make markets extremely efficient—even smaller, niche markets—which will leave little edge left for normal traders, even with their little homebrew assistant AIs. The value of original research will plummet. That said, the increased competition and liquidity should be a boon to the rest of us who are injecting noise into the market. (It will also mean @Polymarket liquidity on everything!) - So if the big story is not chatbots and not trading bots, what else is there? Here’s my core thesis, which for some reason almost nobody is talking about: the truly impactful AI agents will be software engineering agents. - Why is this such a big deal? Ask yourself this: what is the primary input to our industry? What is the costly input preventing there from being more applications, more wallets, better infrastructure, better everything? The answer is software. If AI agents cause the price of software to collapse, that will change everything. - In a post-AI era, instead of having to raise millions of dollars for a seed round, you will be able to launch an application with $10K of AI cloud compute. Self-financed projects like Hyperliquid and Jupiter will go from the exception to the norm. The amount of applications and experimentation on-chain will absolutely explode. For an industry that is driven by software, this deflationary shock is going to lead to an on-chain renaissance. - The implications of this on security are profound. AI-powered static analysis and monitoring will become ubiquitous, making security more accessible to everyone. These AIs will be fine-tuned on EVM/Solidity or Rust codebases, trained on vast databases of security audits and attack vectors. They'll be RL’d in simulated adversarial blockchain environments. I’m increasingly convinced that AI tools ultimately favor defenders over attackers when it comes to security. You will have AIs constantly red-teaming contracts, while other AIs will be hardening them, formally verifying their properties, and honing their skills at incident response and remediation. - In the meantime, sure, trade AI-flavored memecoins. But real agents are going to have a lot more impact than tweeting and pumping their own tokens. 6. Actual Crypto x AI - Above I detailed the impact of AI on crypto (which is the primary direction of influence), but crypto will also have an impact on AI. - Truly autonomous agents will use crypto to pay each other. This will be especially true once there are permissive stablecoin regulations—you’ll start seeing even large companies that run AI agents using stablecoins for agent-to-agent payments because they’ll be so much easier to spin up than bank accounts. - We will also see more and bigger scale experimentation around decentralized training and inference. A new generation of promising projects like @exolabs, @NousResearch, and @PrimeIntellect will pave the way for real alternatives to centralized training and company-owned models. @NEARProtocol is also going all-in on trying to create a full-stack credibly neutral and permissionless AI stack. - The other place where crypto and AI will intersect is UX. Post-AI wallets will be completely transformed—an AI powered wallet should be able to take care of bridging, optimize trade routes, minimize fees for you, paper over interoperability issues or frontend bugs, and steer you clear of obvious scams or rugpulls. You won’t be juggling between multiple different wallets and changing RPCs or rebalancing your stablecoins—the AI will handle all of it for you. This likely takes until 2026 to become reliable enough to transform crypto’s UX. But when this arrives, what does this do to blockchain network effects? What happens when users stop caring—or even experiencing—which chain an application lives on? - This space is still young, but I’m hopeful we’ll see things take off here soon. In the long run (say mid 2026) I expect this will be where most of the market cap of “AI x crypto” lives. --- That’s all I got for predictions. I promised I'd write this before I hit 100K followers, so I'm a little late, but still within the new year! Happy New Year everyone. Looking forward to being out of a job by this time next year! 🫡 Disclosure: These are all my personal opinions and do not represent the opinions of Dragonfly; Dragonfly holds investments in many of the names I mentioned in this piece. Not financial advice. DYOR. I may or may not be an AI.

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Most engaged tweets of Haseeb >|<

In Defense of Exponentials I used to tell founders, the reaction you are going to get to your launch is not hate, it’s indifference. By default, nobody cares about your new chain. I have to stop telling them that now. Monad just launched this week, and I’ve never seen so much hate about a blockchain that just launched. I’ve been investing into crypto professionally for 7+ years now. Before 2023, almost every chain I’ve ever seen that launched was mostly met with enthusiasm or indifference. But now, new chains are born into a chorus of hate. The amount of haters I’ve seen for projects like Monad, Tempo, MegaETH—before they even hit mainnet—is a genuinely new phenomenon. I’ve been trying to diagnose: why is this happening now, and what does it mean about the psychology of this market? The Cure is Worse than the Disease Forewarning: this is going to be the vaguest blockchain valuation post you ever read. I don’t have any fancy metrics or charts to sell you on. Instead, I’ll be arguing against the zeitgeist of Crypto Twitter, which for the last couple of years, I’ve been constantly on the opposite side of. In 2024, I felt like what I was arguing against was financial nihilism. Financial nihilism is the belief that none of these assets matter, it’s all memes at the end of the day, and everything we’ve built is inherently worthless. Thankfully, that’s no longer the vibe. We have broken out of that spell. But the zeitgeist now is what I’d call financial cynicism: OK, maybe some of this stuff has value, maybe it’s not all memes, but it’s grossly overvalued and it’s only a matter of time before Wall Street finds that out. Not that all chains are worthless. But these things are all maybe worth 1/5th-1/10th of what they’re currently trading at (have you seen these PE ratios?), and so you’d better pray like hell Wall Street doesn’t call us on our bluff, because once they do it’s all getting wiped out. You’ve got many bullish analysts now trying to conjure up optimistic L1 valuation models, inflating PE ratios, gross margins, DCFs, trying to fight against this mood. Late last year, Solana very proudly embraced REV as a metric that could finally justify their valuation. They proudly announced: we—and only we—are no longer bluffing to Wall Street! And, of course, almost immediately after REV was embraced, it fell off a cliff (though $SOL, tellingly, did better than REV did). Not that there’s anything wrong with REV. REV is a very clever metric. But the point of this post is not metric selection. Then came the launch of Hyperliquid. A DEX that had real revenue and buybacks and PE multiples. And the chorus said—look, look I told you! Finally, for the first time ever, a token that has some real profits and a proper PE multiple. (Nevermind BNB, we don’t talk about that.) Hyperliquid will eat everything because obviously Ethereum and Solana don’t make any real money, we can stop pretending to value them now. Hyperliquid, Pump, Sky, these buyback-heavy tokens are all great. But the market always had the ability to invest into exchanges. You could always buy Coinbase, or BNB, or whatever. We own $HYPE, and I agree that it’s a fantastic product. But that’s not why people were investing in ETH and SOL. The fact that L1s don't have exchange-like profit margins is not why people were buying them—if they wanted that, they could’ve bought Coinbase stock. So if I’m not critiquing blockchain financial metrics, maybe you think this post is going to be chiding the sinfulness of the token-industrial complex. Obviously, everyone has lost money on tokens in the last year, VCs included. Alts are down bad this year. And so the other half of the zeitgeist on CT is arguing about who's to blame. Who’s become greedy? Are the VCs greedy? Is Wintermute greedy? Is Binance greedy? Are the farmers greedy? Are the founders greedy? The answer, of course, is the same as it’s ever been. Everyone is greedy. Everyone. The VCs, Wintermute, the farmers, Binance, the KOLs, they're all greedy, and you are greedy too. But it doesn't matter. Because no functioning market has ever required anyone to act against their self-interest. If we're right about crypto, we can all be greedy and the investments will still work out. Trying to analyze a market that has gone down by figuring out “who’s greedy” is going to be about as fruitful as commissioning witch trials. I guarantee you, nobody just started being greedy in 2025. So this, too, is not what I’m going to be writing about. Many people want me to write a post about why $MON should be valued at X or $MEGA at Y. I’m not interested in writing this post, or advocating that you buy anything in particular. In fact, you probably shouldn’t buy any of them if you don’t already believe in them. Will any new challenger chain win? Who knows. But if it has a material chance of winning, it's going to be priced on that basis. If Ethereum is worth $300B or Solana is worth $80B, a project that has a 1-5% chance of becoming the next Ethereum or Solana will be priced according to those probabilities. Somehow CT is scandalized by this, but it’s no different than Biotech. A drug that has less than a 10% chance of curing Alzheimer's is priced by the market as worth billions of dollars, even if 90% chance it won’t pass stage 3 trials and will go to 0. That's how the math works—and turns out, markets are pretty good at doing math. Binary outcomes are priced on probabilities, not on run rates or moral turpitude. It’s the “shut up and calculate” school of valuation. I really don’t think that’s an interesting question to write about. “5% chance to win? No way, that’s clearly a 10% chance!” Markets, not articles, are the best way to assess that for any individual token. So here’s what I am going to write about: CT doesn't seem to believe anymore that chains are valuable. I don’t think this is because they don’t believe new chains can win market share. We just saw Solana dominate market share after emerging from the ashes less than 2 years ago. It’s not easy, but of course it’s possible. It’s more that people have come to believe that even if a new chain wins, there’s no prize worth winning. If $ETH is just a meme, if it’ll never generate real revenue, then even if you win, you won’t be worth $300B. The contest is not worth winning, because these valuations are all bunk and it’ll all come crashing down before you go to claim your prize. Being optimistic about chain valuations has become passé. Not that nobody is optimistic—obviously there must be optimists out there. For every seller there’s a buyer, and as much as CT cool kids love to drag L1s, people are comfortable buying SOL at $140, ETH at $3000. But there’s a perception now that all the smartest people are over buying smart contract chains. Smart people know the jig is up. If not now, then soon. The only people buying here are suckers—Uber drivers, Tom Lee, and KOLs who say stuff like “trillions.” And maybe the US Treasury. But not the smart money. This is bullshit. I don’t believe it, and you shouldn’t either. So I felt like I had to write a smart person’s manifesto on why general purpose chains are valuable. This post is not about Monad or MegaETH. It’s really in defense of ETH and SOL. Because if you believe ETH and SOL are valuable, the rest is straight downstream. Defending ETH and SOL valuations is generally not my job as a VC, but fuck it, if nobody else is willing to do it, then I’ll write it. Feeling the Exponential My partner Bo experienced the Chinese Internet boom first-hand as a VC. I’ve heard how “crypto is like the Internet” so many times now that it doesn’t even register for me anymore. But when I hear his stories, it always reminds me how costly it is to be wrong about these things. A story he often tells is about when all the early e-commerce VCs (it was a small group back then) got together for coffee in the early 2000s. They debated: how big is the market for e-commerce going to be? Is it going to be mostly electronics (maybe only techies will use PCs)? Could it ever work for women (perhaps they’re too tactile)? What about food (maybe impossible to manage perishables)? These were deeply important questions for early VCs to decide what to invest in and what prices to pay. The answer, of course, was that literally every single one of them was devastatingly wrong. E-commerce would sell everything, and the target audience was the whole fucking world. But nobody at the time actually believed it. And even if they did, it would be too absurd to say out loud. You just had to wait long enough for the exponential to show you. Even among the believers, very few thought e-commerce would become as big as it became. And those few who did, almost all of them became billionaires from just not selling. Every other VC—as Bo tells me, since he was one of them—sold too early. It has become passé in crypto to believe in the exponential. I believe in the crypto exponential. Because I’ve lived it. When I started in crypto, nobody used this stuff. It was tiny and broken and awful. TVL on-chain was in the millions. We invested into the first generation of DeFi, MakerDAO, Compound, 1inch, back when they were science projects. I remember playing around on EtherDelta back when DEXes traded single digit millions a day, and that was considered to be a huge success. It was complete dogshit. Now we routinely trade in the tens of billions on-chain every day. I remember believing it was crazy that Tether hit a billion dollars in issuance and was being written up in the NYT as a ponzi scheme on the brink of shutdown. Now stablecoins are over $300B and regulated by the Federal Reserve. I believe in the exponential because I’ve lived it. I’ve seen it over and over again. But you might respond—well, stablecoin growth might be exponential, maybe DeFi volumes are exponential, but they don’t accrue to ETH or SOL. The value doesn’t get captured by the chains. To which I answer: you still don’t believe in the exponential. Because the exponential’s answer is always the same: it doesn’t matter. This stuff is going to be so much bigger than it is today. And when it’s absolutely enormous, you’ll make it up on scale. Study this chart. This is Amazon’s P&L from 1995 to 2019. That’s 24 years. Red is revenue, gray is profit. You see that little blip on the end where the gray line goes up? That’s when, 22 years in, Amazon started actually making a profit. Amazon was 22 years old when this little gray line of net income first peeled off of 0. Every single year before then, there were op eds and critics and short sellers claiming that Amazon was a ponzi scheme that would never make any money. Ethereum just turned 10 years old. This is what the first 10 years of Amazon stock looked like: 10 years of chop. All along the way, Amazon was beset with doubters and non-believers. Is e-commerce a VC-subsidized charity? They’re selling underpriced cheap low-quality knick-knacks to bargain hunters, who cares? How are they ever going to make actual money, like Walmart or GE? If you were arguing about Amazon’s P/E ratio, you were in the wrong regime. That’s the regime of linear growth. But e-commerce was not a linear trend, and so every single person for 22 years arguing about P/E ratios was devastatingly wrong. No matter what you paid, no matter when you bought, you were not bullish enough. Because that’s what exponentials do. When it comes to truly exponential technologies, no matter how big you think it’s going to get, it just keeps getting even bigger. This is the thing that Silicon Valley has always understood better than Wall Street. Silicon Valley was raised on exponentials, while Wall Street was raised on linearity. And over the last few years, crypto’s center of gravity has migrated from Silicon Valley to Wall Street. You can feel it. Granted, crypto growth doesn’t look as smooth as e-commerce’s growth. It’s burstier, it goes in fits and starts. This is because crypto, being about money, is deeply tied to macro forces, and it also has more violent regulatory push and pull than e-commerce. Crypto strikes at the heart of the state—money—and so it’s more unnerving to governments than e-commerce ever was. But the exponential is no less inevitable. It's a crude argument. But if crypto is exponential, then the crude argument is correct. Zoom out. Financial assets want to be free. They want to be open. They want to be interconnected. Crypto turns financial assets into file formats, makes it as easy to send a dollar or a stock as to send a PDF. Crypto makes it possible for everything to talk to everything. It makes it all 24/7, global, interconnected, and open. That will win. Open always wins. If there’s no other lesson I've learned from the Internet, it’s that. Incumbents will fight against it, governments will huff and puff, but eventually they will give up against the adoption, the generativeness, the sheer efficiency that this technology enables. It’s what the Internet did to every other industry. Blockchains are how that same trend will gobble up all of finance and money. Yes—with enough time—all of it. An old saying goes: people overestimate what can happen in two years, but they underestimate what can happen in ten. If you believe in the exponential, if you zoom out enough, then it’s all still cheap. And it should humble you that every day, the holders outlast the sellers and naysayers. Big capital has a longer time horizon than CT swing traders might lead you to believe. Big capital has been trained through history not to fade big technologies. You know, the big gushy story that originally got you to buy $ETH or $SOL? Big capital believes that story and hasn't stopped. So what exactly am I arguing? I am arguing that applying P/E ratios to smart contract chains (the “revenue meta,” as it’s now called), is giving up on the exponential. It means you have consigned this industry to the regime of linear growth. It means you believe 30 million DAUs on-chain and <1% of M2 is it. Crypto is just one of the things in the world. A sideshow. It did not win. It was not inevitable. More than anything, I’m arguing to be a believer. Not just a believer, but a long-term believer. I’m arguing that this exponential will be bigger than anything else you’ve been a part of in your life. That this is your e-commerce. That you will look back when you’re old and tell your kids—I was there when it all happened. Not everyone believed it was possible, that whole societies could change, that all of money and finance would be transformed by programs running on decentralized computers that we collectively owned. But it actually happened. It changed the world. And you were a part of it. Disclosure: These are my own views. Dragonfly is an investor in $MON, $MEGA, $ETH, $SOL, $HYPE, $SKY among many other tokens. Dragonfly believes in the exponential. This is not investment advice, but is advice of another kind.

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Late to this, but as a VC, here’s my perspective on airdrop farming: Farmers are obviously not useful to projects. @Cobie is right that as a VC, I ignore farming activity. I’m extremely skeptical of easily farmed metrics, and we always dig into the data to try to identify farming. Wherever we see it, we heavily discount it. Farming is, by definition, people who pretend to use a product and pretend they will be long-term users, in order to get paid via an airdrop. Let that sink in for a second. Crypto has broken all of our brains on this. If a normal consumer startup paid people to pretend to use their product and pretend to retain, that’d be considered fraud. Airdrops started as an idealistic and egalitarian practice, but the rise of industrial farming has evolved it into something straightforwardly toxic. Farmers try to emulate real users and make it hard for teams (and investors) to identify the difference. So, no. Farming is obviously bad for startups. If it weren’t bad, farmers wouldn’t try to hide that they're farmers. But farmers will reply: the value of farming is that farmers pump up metrics of successful projects, and therefore, it’s good for the projects. This is so wrong it’s hard to even know where to start. First, if farmers are “pumping up metrics,” who are they pumping them up to? Who is being fooled here by inflated metrics? Is it the VCs? If so, farmers are claiming that founders are conspiring with farmers to dupe their VCs. (And on many heavily farmed projects, VCs are underwater.) Note: this is incompatible with the theory that VCs are the primary culprit of bad token launches. Either the VCs are dastardly villains conspiring with founders to dump on retail, or they’re stupid fools being duped by founders with farmer-inflated metrics. But it can't be both at the same time. The other option is that it’s not the VCs who are fooled--VCs see through it--it’s retail who’s being fooled. So maybe farmers are conspiring with founders to dump on retail, and that’s why it’s good for founders. The problem with this theory is that founders don’t get to dump day 1, only farmers do. So by the time the chickens come home to roost, the metrics have already plummeted, the farmers got out by selling their airdrops, and the founder is left holding the bag. Only the farmers profited from retail, not the founder. But even if we rationally agree with this analysis, to most people, it doesn’t matter. Because we all know that despite this, all good projects get farmed. So if nobody shows up to farm your project, that must imply your project is not good, and therefore you’ll do poorly in the market. Don’t you want to be like all the other good projects? So you need farmers to show up, whether you think they're parasitic or not. This sounds convincing. But it’s totally wrong, for the age-old reason: correlation is not causation. Yes, good projects get farmed. But the project being good causes the farming, the farming doesn’t cause the project to be good. All big cities have crime, but that doesn’t mean crime is causes cities to get big. The causation is backward. You can have a good project that isn't farmed. To tell you the truth, I think the actual dumb money here is the exchanges. Exchange listing teams reward farmed metrics more than VCs do. But the market is already correcting on this, and norms are changing. It’s just exchanges tend to be the last to notice, as they’re furthest back in the capital stack. Now all that being said, there’s nothing morally wrong with airdrop farming. No more than there being anything wrong with running MEV bots or sniping token launches. The game is the game. As long as you’re following the rules, all is fair. So there's no reason to look down on airdrop farmers. They're strategically trying to make money with the resources they have. But are farmers providing value to founders? No, obviously not. (Caveat: “Linear” farming is an exception--if you’re being paid to provide liquidity or an insurance backstop, or some other clear assumption of risk, I’d call that more classic liquidity mining, which is totally valuable. Or if you’re being paid to market make or provide tight spreads, that’s also valuable. This kind of farming is pay-for-performance that contributes to a product moat. But that’s not like the vibes based “pretend to be a user and touch everything" type farming I’m talking about above, which tends to be more common for L1/L2s or for consumer products.)

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I passed on @solana's seed round in early 2018 at $0.04. At current prices, that's a 3,250x. Solana was one of my first ever pitches as a junior VC, and back then I wrote memos for every deal I passed on (adorably naive and overconfident). Re-reading this memo now is peak junior VC cringe. At the time we were obsessed with "Ethereum killers," consensus protocols, and what was going to replace the EVM / eWASM. So here it is, fully unedited—the worst investing miss of all time. Happy birthday, Solana! 🎂

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Funny how people keep clowning on @deepseek_ai for refusing to answer questions about Tiananmen Square—the single most radioactive topic in Chinese culture... ... Meanwhile @Google's Gemini straight up refuses to answer basic questions about the sitting U.S. president.

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We just closed Dragonfly Fund IV at $650M. It's a big milestone, and yet, it’s a weird time to celebrate. Spirits are low, fear is extreme, and the gloom of a bear market has set in. But here's the thing: we raised almost every single Dragonfly fund into bear markets. Fund I we raised through the 2018 ICO winter, when almost nobody believed in this space anymore. Fund III we raised right before Luna collapsed. Those were brutal times to deploy capital. But they turned out to be our best vintages. Last week I caught a lot of heat for arguing that non-financial crypto has failed. I meant that. But the flip side of that argument is: financial crypto is exploding. Stablecoins are eating the world. DeFi has grown so big it's rivaling CeFi. Financial institutions around the world are racing to build out their crypto strategies. And prediction markets are becoming the most trusted source of truth on the internet. Fund IV is our biggest bet yet that the crypto revolution is still early in its exponential. If you look at our recent bets—Polymarket, Ethena, Rain, Mesh—the growth speaks for itself. Agentic payments, on-chain privacy, the tokenization of everything—crypto's surface area is about to explode, and we want to be backing the founders at the center of it. We've always believed that the most important work gets done when the noise dies down. We believe moment is now. In fact, we’re putting money on it. If you're building what comes next, @ us.

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Dragonfly invested into PepperSec, Inc., the developers of Tornado Cash, in August of 2020. We made this investment because we believe in the importance of open-source privacy-preserving technology. Prior to our investment, we obtained an outside legal opinion that confirmed that Tornado Cash as built complied with the law, under the guidance given by FinCEN in 2019. The government has now stated in open court that they are contemplating charges against Dragonfly for having invested into the Tornado Cash team in 2020. On counsel’s advice, we have refrained from public comment. But we can no longer remain silent. We believe deeply in Americans’ right to privacy, and the lack of it remains one of crypto’s largest unsolved problems. We therefore stand by our investment. We did not operate or exercise any control over Tornado Cash, we had no contact with any malicious users, we always encouraged our portfolio companies to follow the law, and we maintain that Tornado Cash itself has a lawful right to exist—a view reinforced by Van Loon v. Department of the Treasury and OFAC’s subsequent rescission of sanctions. Charging a venture firm for a portfolio company’s alleged misconduct would be unprecedented, especially under these circumstances. In 2023 we received a DOJ subpoena and have fully cooperated with the government’s investigation of Tornado Cash, confident that we have always complied with the law. The DOJ has made clear that we are not ourselves a target of their investigation. As with every investment, we provided PepperSec the same advice and support we offer all portfolio companies. We believe the government’s statement in court today was primarily to undermine a defense of Tornado Cash—to make it more difficult for the defense to call Tom to testify on the stand. After all of this time—years later—bringing charges against Dragonfly would be outrageous, contrary to the facts and the law, and would induce a chilling effect onto all investment into crypto and privacy-preserving technologies in America. We don’t believe the DOJ would actually bring such absurd and groundless charges. But if they do, we intend to vigorously defend ourselves.

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With all respect to Star, this story is candidly ridiculous. Star is trying to claim that the root cause of 10/10 was Binance creating an Ethena yield campaign, causing USDe to get overleveraged from traders looping it on Binance, which eventually unwound because of a small price move. The problems with this story: 1) The timing of this story doesn't line up. BTC bottomed a full 30 minutes before USDe price was affected on Binance. So USDe clearly can't have *caused* the liquidation cascade. This is clearly misplacing cause and effect. 2) USDe price diverged ONLY on Binance, it did not diverge on other venues. But the liquidation spiral was happening everywhere. So if the USDe "depeg" did not propagate across the market, it can't explain how *every single exchange* saw huge wipeouts. This is very much unlike Terra, which depegged everywhere and caused the same damage across every venue. So maybe you could hedge Star's argument by saying "OK, maybe Ethena didn't *cause* 10/10, but it amplified it." But even as an amplifier, USDe fails the test because it didn't propagate cross-exchange. We know what a good explanation of a crash looks like—Terra, 3AC, FTX, all had global balance sheet effects that were felt everywhere. USDe did not do that, it was a Binance order book isolated event. 3) This begs the question: why is Star "revealing" this now, months later? Star does not produce any new evidence for this theory that people didn't already know and analyze to death. All of the order book data has been public for 4+ months and suddenly he claims this? This feels more like Star is picking a fight with CZ and using this simple story as a pretext to make it sound like CZ was in on it, or caused 10/10 through his own irresponsibility. Look, the reality is, there's no simple story explaining 10/10 that survives scrutiny. I don't have one either. If there was a simple story that could explain 10/10, there would already be widespread agreement about what caused it, like the agreement around the 3AC or FTX crashes. The best story to explain 10/10 is, to my mind: * Trump spooked markets with tariff threats on a Friday evening * This caused markets to sell off dramatically because crypto was the only thing to trade * Flurry of activity caused Binance APIs to go down, causing huge price dislocations and preventing market makers from balancing inventory across exchanges. This caused huge liquidations that could not get filled, but liquidation engines keep firing regardless, and all this got amplified by ADLs initiating everywhere and breaking hedges and risk management * This caused MMs to get wiped out, and they were unable to pick up the pieces—MMs need APIs to rebalance inventory, and without MMs, there were no buyers of last resort for many alts. Retail was not going to step in on a chaotic Friday evening to buy stuff * Crypto liquidation mechanisms are not designed to be self-stabilizing the way that TradFi mechanisms are (circuit breakers, etc.), crypto liquidations are designed purely to minimize insolvency risk * Altcoin prices are extremely path dependent, and we ended up in a bad path That's my story. It's not a very satisfying one, but neither is this "Binance + Ethena did it" story. A better root cause explanation is "APIs went down at the worst possible time," but that doesn't really sound so dastardly. Where simple stories do not suffice, unfortunately you have to choose a complicated one. And I think this complicated story is the best one for what actually happened on 10/10. Thankfully, the history of crypto is a long series of these "bad things happened, and later the market recovered." In the long run, I'm not worried that 10/10 permanently broke the market. Just that prices are path-dependent, retail + MMs got hurt bad on 10/10, and will need time to recover.

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With all due respect to Chris, I completely disagree with this take. Chris argues that "web3," particularly crypto-powered gaming and media, failed due to scams and regulation, and that better regulation will unlock these non-financial cases. OK, think about this for a second. Does this pass the smell test? Do you think web3 gaming failed because of Gary Gensler? Do you think web3 media plays failed because the scammers crowded out the honest media innovators? Really? If this is true, why didn't they kill financial crypto, which had WAY more of both? Financial use cases were right in the crosshairs of the regulatory harassment, and they also attracted way more scams. Why shouldn't we instead accept the more obvious answer: non-financial use cases for crypto have failed because no one wants them. Let's just admit it. They were bad products. They failed the market test. It was not Gensler or SBF or Terra that caused these things to fail, it was that no one wanted any of it. Pretending otherwise is cope. Enormous sums of capital and talent explored these ideas, and we should acknowledge what we learned. That lesson is not "if we just had better laws, then finally people would finally be using decentralized Spotify" or whatever. Call a spade a spade. Every single use case in crypto that has worked at scale has been financial in nature. 2008: Bitcoin - non-sovereign store of value 2014: Tether - stablecoins 2015: Ethereum - programmable money 2017: ICOs - capital formation 2018: Prediction markets (Augur, later Polymarket) 2020: DeFi - literally finance is in the name 2021: NFTs - non-fungible financial assets (to the extent they worked) 2024: RWAs (the year BUIDL took off) All this stuff was adopted bottoms-up. We as investors discovered that people wanted to do these things with crypto. The web3 consumer stuff, on the other hand, was primarily conjured up by investors and pitch decks, ZIRP accelerationism, and "wouldn't it be crazy if" blog posts. This was the opposite of the "what smart people are doing on their weekends" thesis. In fact, if you go back to the Ethereum white paper from 2014, almost every single Ethereum use case Vitalik describes is financial in nature: token issuance, stablecoins, derivatives, on-chain treasuries/DAOs, on-chain savings, insurance, price feeds, escrow, gambling, prediction markets. It's all in there. This is nothing to be ashamed of. Finance is almost 10% of GDP. It's an enormous part of the world economy, and banks are some of the lowest NPS score companies in the world. People hate their banks and the outdated financial architectures their money runs on. It's literally why Bitcoin was created. There is so much to innovate in the realm of finance, and I truly believe we are only at the beginning of that displacement. You don't need to assume anything more to project the next 10x in crypto. The old saying goes "crypto will do to finance what the Internet did to every other industry." I respect Chris's optimism. But 18 years in, we should not be propagating this meme about consumer web3 use cases as though they're inevitable. If you are hanging around the rim hoping that crypto is going to disrupt media and gaming, you should know the history and look at it with clear eyes. Now if you as a founder believe that despite that, you know the secret to cracking this market--I respect that, and I certainly don't begrudge anyone to follow their convictions. But I think it's important that investors be honest that all the evidence points the other way.

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Yes, Airdrops are Dumb. But they don’t have to be. This reaction to this post really got me thinking. Here's a question: Why do IPOs always pop? Simple—it's by design. Every company wants holders instead of dumpers on their cap table. Institutional investors like BlackRock and Fidelity are the long-term holders that every CEO wants as shareholders, so they get offered shares at a discount to where the market is expected to clear. That discount creates the IPO "pop." Retail doesn't get that discount because retail is a swarm—some are holders, some are dumpers, and companies can't tell which is which at the IPO. So retail pays market price. The same dynamic plays out in crypto. VCs and institutions have legible long-term reputations that make them easier to differentiate from mercenary capital. The best value-add investors get preferential access, while retail pays sticker price. But airdrops happen on the transparent blockchains, where you can see which wallets are which. So teams use on-chain data to filter our “farmers” or sybils—people with thousands of accounts faking metrics just to get an airdrop. And yes, that makes sense. But nobody seems to be trying to figure out who is actually going to hold their token or dump it—who are the little baby Blackrocks and Fidelitys who deserve to be rewarded alongside the others value-add investors. Why don't projects do this? The Current State of Airdrops We all know airdrops are broken. Projects spend months attracting farmers who generate artificial activity, only to watch those same farmers dump tokens immediately after TGE. It seems the only solution people propose is to pivot away from airdrops to crowdsales. But it's 2025 now—there's a larger design space we haven't explored. Some projects have moved partway there. Optimism, Arbitrum, and Kaito have all modified their post-TGE incentives to reward long-term holders of their own tokens. But this strategy only works after your token exists. At initial distribution—usually the largest in dollar terms—you don't yet know whether users will hold or fold. The mistake these distributions make is trying to anticipate user behavior solely toward their own token. Instead, you should reward users based on how they've behaved with previous tokens. When BlackRock gets IPO allocations, companies don't know if BlackRock will dump their shares. But they know BlackRock generally hasn’t dumped previous IPOs. They value BlackRock on their track record, rather than by directly tying their hands. It’s crazy that token distributions don’t work this way. To fix airdrops, we need meta-incentives. Your airdrop should incorporate how users behaved in previous airdrops. Once users receive your token, you then need to make their behavior legible to the next project considering an airdrop. Here's a sketch of how this could work: After the airdrop, most teams just publish a list of allocations. Instead, they should continue to publish a Holder Score that updates after TGE: percentage retained over time, delegation/staking/voting participation, product usage, fee payments, liquidity provision, builder contributions. If users know future protocols will see this Holder Score and incorporate it into their own airdrops, those users will adjust their behavior today. This creates a meta-incentive—after your airdrop, you no longer have leverage over users, but the next project is implicitly collaborating with you to enforce that meta-incentive. The airdrop meta already did this once, making all projects attract farmers even when they weren't themselves planning airdrops. We can do it again and reward the best users through holder scores. When Airdrops Still Make Sense The strongest case for airdrops is pay-for-performance scenarios. If your protocol needs TVL, volume, open interest, or liquidity, you can incentivize that with points and convert linearly to tokens. This kind of airdrop will never go away because it directly offers rewards for measurable value. But then you have amorphous airdrops—for layer 1s, infrastructure, or consumer products, where it's unclear what metric you should be optimizing for. For these, we can do better than airdrops. Of course, it’s fine to airdrop small amounts to targeted groups: direct contributors, power users, early supporters, or adjacent communities. But broad helicopter money airdrops just don’t work—they only incentivize farmers to generate artificial activity that disappears after TGE. That's useless for everyone, including founders and other tokenholders. Instead of airdrops, let early users earn the right to invest at preferential prices in the crowdsale. Once you have user scores—sourced from past and present behavior—allocate the majority of tokens to crowdsales that clear at different prices based on user scores. Better users get bigger allocations at lower prices. Mercenary farmers pay full price—or get no access at all. By requiring users to have skin in the game and giving them a cost basis, you create a more committed holder base rather than farmers looking to cash out free money. Crowdsales also add a built-in sybil resistance mechanism. Free money attracts noise. @clairekart is right that the airdrop meta emerged in response to regulation—in a free market, crowdsales are just a better way to distribute most tokens. Even Ethereum was distributed via crowdsale. With regulatory clarity finally emerging, why can’t your users be your "distributed BlackRock"? Your thousands of investors who've demonstrated they're long-term value-add holders. What should go into a "holder score"? It depends on the project, but some ideas: * Token retention curves (7/30/90/365-day holding percentages) * Governance participation * Fee spend * LP provision days * Relevant social engagement / Kaito scores * Product usage metrics, shit like that If you publish this in a standardized JSON format, others protocols can easily ingest and incorporate into their own distributions. It’s the same reason finance companies freely share data on their users to credit bureaus—users behave better with you when they know their reputation travels across platforms. So yes, airdrops are dumb, but they don’t have to be. Unless you're running pay-for-performance airdrops, if you have an airdrop at all, it should be small (<15% of total TGE). The remaining portion should be sold in score-tiered crowdsales, with pricing tiers published upfront so everyone knows the rules. (Be fully transparent, filter out team and investor addresses proactively.) And keep holder scores updated throughout subsequent campaigns and reward seasons. Now instead of rewarding people gaming the snapshot, you reward staying power and real users. IMO that will result in cleaner distributions, clearer PMF signals, and token holders who actually give a shit about your project, instead of dumpers who are hemorrhaging tokens over time. It's crypto—the design space is a lot bigger. Let’s use it. Disclosure: Dragonfly is an investor in several of the assets I mentioned, also I have done absolutely zero conferring with lawyers about this, so consider this a shower thought and definitely not legal advice!

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My 2025 Crypto Predictions I'm either going to look like a prophet or an idiot over these predictions, but one thing is for sure: I'm going to piss off a lot of people with bags. Breaking this up into six sections: my predictions for L1s/L2s, token launches, stablecoins, regulation, "AI Agents" (oh boy), and crypto x AI. ~9 minute read! 1. L1s/L2s - The distinction between L1s and L2s is collapsing. Users no longer perceive the differences between L1s and L2s (did they ever?). The blockchain landscape, L1s and L2s combined, is overcrowded and due for a shakeout. The consolidation will be less about technical superiority—it will be about having a unique niche and building stickiness through GTM. - Despite the strength of SVM and Move, EVM market share will actually grow in 2025. This growth will be driven by @base, @monad_xyz, and @berachain. This will be not because of compatibility anymore—it'll be because EVM/Solidity just has way more training data, and LLMs will be writing most of the application code in 2025. Already having a deep library of battle-tested cryptography contracts will also be a separator, because LLMs suck at writing low-level code. DevEx and footguns will matter less than training data and solid libraries in the LLM era of development. - Solana will pressure more blockchains to optimize for low latency. We will move from TPS wars to latency wars—infra like @doublezero and super low-latency L2s like @megaeth_labs will push user expectations toward web2 responsiveness. Expect more embrace of optimistic UIs, preconfirmations, intents, email onboarding, in-browser wallets, and progressive security. Shoutout to @privy for advancing the meta here. - @HyperliquidX has demonstrated that specialized chains can work when they're laser-focused on a specific application and prioritize UX and easy bridging. More projects will follow this model. The old dream of one chain to rule them all is dead. 2. Token Launches - The current meta of everyone doing huge airdrops via points programs is over. We are moving to a two-track world. - Track one: if a project has a clear north star metric, like an exchange or a lending protocol, they will distribute tokens purely off points. They will not care if they are farmed or gamed—they are effectively distributing the token as a rebate/discount on the core KPI of the protocol, and the farmers are your actual users anyway. - Track two: projects without clear north star metrics (like L1s and L2s) will move toward crowdsales. They may do smaller airdrops to reward social contributions, but the majority of tokens will get distributed via crowdfunding. Airdropping for vanity metrics is dead. Those aren't really going to users, they're going to industrialized farmers. - Memecoins will continue to lose market share to “AI agent” coins. I consider this a migration from financial nihilism to financial over-optimism. (Yep I'm coining that.) 3. Stablecoins - Stablecoin usage will explode, particularly among SMBs. Not just trading and speculation—real businesses will start using on-chain dollars for instant settlement. - Banks are noticing: expect to see announcements of bank-issued stablecoins toward the end of 2025. They will not want to be left behind. But especially with Lutnick as Secretary of Commerce, Tether will remain #1. - Expect @ethena_labs to gobble up even more capital, especially as treasury yields continue to decline over the coming year. When the opportunity cost of capital declines, it makes basis trade yields even more attractive. 4. Regulation - Stablecoin legislation passes in the US, while the broader market infrastructure overhaul (FIT21) gets delayed. Stablecoin adoption accelerates while Wall Street adoption, asset tokenization, and other TradFi integration will lag behind. - Under Trump, Fortune 100 companies will become more willing to offer crypto to consumers, with tech companies and startups showing higher risk appetite. Trump's inauguration will create a perceived regulatory jubilee until clear rules and enforcement priorities are set. During this window, expect to see aggressive expansion of crypto integration into Web2 platforms. 5. AI Agents (this is the longest section because my thoughts here are likely controversial—read to the end!) - The “AI agent” craze will continue probably throughout 2025. But it will die off eventually. This is not the long-term disruption to watch out for from AI, but it will be CT's fixation because it is the most social. - These things are not really agents. These are chatbots with memecoins attached; they are barely agentic at all besides posting on Twitter. Current "AI agents" are also mostly "Wizard of Oz" agents—there are humans behind the scenes ensuring the AI doesn't go off the rails. This won't change any time soon because current agents are too janky (even Fortune 100 companies are not using agents in prod yet). Current agents can easily be manipulated into saying crazy things that damage their brands, or can be jailbroken to steal all of their resources. See @freysa_ai for what an actual autonomous AI looks like—if your favorite AI is not getting jailbroken, it’s because it's a Wizard of Oz AI. - That said, I think this trend will accelerate. Chatbots can indeed replace a lot of influencers because chatbots never sleep, they're always on-message, and they’re less greedy than human influencers. Plus the majority of influencers aren’t very original anyway. Real-time information aggregation/amplification can be easily replaced by an algorithm even today (see @aixbt_agent). - Right now these chatbots are fascinating to us because they are so novel. It’s like seeing an elephant paint. The first time you see it, you don’t really care that the painting is not very good—it’s spectacular to see. But the 1000th time, the novelty wears thin. I believe that will start to happen as these chatbots plateau. - You can see that today with aixbt—it’s already pretty good at aggregating data about different projects. By next year and the next generation of agents, maybe aixbt will hallucinate a little less, go a little deeper, have a little smarter takes. But how much will you even notice? It’ll probably feel the same to most people. - I think this novelty and market eagerness continues throughout 2025. Crypto takes a while to get bored of the shiny thing. But by 2026 I think there will be a sudden reversal. The chatbots will become so ubiquitous that people will get turned off by them. Sentiment will reverse. Seeing stories of their favorite human KOLs losing their livelihoods will kindle a kind of class consciousness. Users will start discriminating in favor of human KOLs, even if their content is less consistent. - In response to this pro-human bias, chatbots will start hiding that they are AIs, trying to pass as humans in order to capture more of the attention market. Instead of monetizing through memecoins like today, future chatbots will monetize the same way human KOLs do—through sponsorships, affiliate links, and pumping tokens they own. KOLs will be routinely accused of being chatbots, and you will see AI-unmasking scandals. This will all get weird. - But there's a darker side yet. Remember, LLMs are currently great wordcels, but not great at the other stuff yet. What are the best ways to make money as a wordcel in crypto? First is being an influencer, sure, but close second is being a scammer. You will start seeing autonomous scambots proliferate. These will explode, comparable to what ransomware and cryptojacking became post 2017. Expect this to become a real social problem. - But while chatbots are likely to remain the center of attention in 2025, the long-term disruption from AI will not be at the social layer. - And no, it’s not going to be in trading either. AIs will not give everyone their own “trading agent” or miniature hedge fund. Yes, AIs will scale everyone, but they will scale people proportionally to their capital, data, and infrastructure. You should therefore expect AI to supercharge preexisting trading firms who have capital scale and data scale. In other words, trading firms will become even better at making all of the money. It will also collapse the hierarchy among trading firms (most of them will become comparably good, since everyone will have access to 150 IQ quants in the cloud). - Over time, AIs will make markets extremely efficient—even smaller, niche markets—which will leave little edge left for normal traders, even with their little homebrew assistant AIs. The value of original research will plummet. That said, the increased competition and liquidity should be a boon to the rest of us who are injecting noise into the market. (It will also mean @Polymarket liquidity on everything!) - So if the big story is not chatbots and not trading bots, what else is there? Here’s my core thesis, which for some reason almost nobody is talking about: the truly impactful AI agents will be software engineering agents. - Why is this such a big deal? Ask yourself this: what is the primary input to our industry? What is the costly input preventing there from being more applications, more wallets, better infrastructure, better everything? The answer is software. If AI agents cause the price of software to collapse, that will change everything. - In a post-AI era, instead of having to raise millions of dollars for a seed round, you will be able to launch an application with $10K of AI cloud compute. Self-financed projects like Hyperliquid and Jupiter will go from the exception to the norm. The amount of applications and experimentation on-chain will absolutely explode. For an industry that is driven by software, this deflationary shock is going to lead to an on-chain renaissance. - The implications of this on security are profound. AI-powered static analysis and monitoring will become ubiquitous, making security more accessible to everyone. These AIs will be fine-tuned on EVM/Solidity or Rust codebases, trained on vast databases of security audits and attack vectors. They'll be RL’d in simulated adversarial blockchain environments. I’m increasingly convinced that AI tools ultimately favor defenders over attackers when it comes to security. You will have AIs constantly red-teaming contracts, while other AIs will be hardening them, formally verifying their properties, and honing their skills at incident response and remediation. - In the meantime, sure, trade AI-flavored memecoins. But real agents are going to have a lot more impact than tweeting and pumping their own tokens. 6. Actual Crypto x AI - Above I detailed the impact of AI on crypto (which is the primary direction of influence), but crypto will also have an impact on AI. - Truly autonomous agents will use crypto to pay each other. This will be especially true once there are permissive stablecoin regulations—you’ll start seeing even large companies that run AI agents using stablecoins for agent-to-agent payments because they’ll be so much easier to spin up than bank accounts. - We will also see more and bigger scale experimentation around decentralized training and inference. A new generation of promising projects like @exolabs, @NousResearch, and @PrimeIntellect will pave the way for real alternatives to centralized training and company-owned models. @NEARProtocol is also going all-in on trying to create a full-stack credibly neutral and permissionless AI stack. - The other place where crypto and AI will intersect is UX. Post-AI wallets will be completely transformed—an AI powered wallet should be able to take care of bridging, optimize trade routes, minimize fees for you, paper over interoperability issues or frontend bugs, and steer you clear of obvious scams or rugpulls. You won’t be juggling between multiple different wallets and changing RPCs or rebalancing your stablecoins—the AI will handle all of it for you. This likely takes until 2026 to become reliable enough to transform crypto’s UX. But when this arrives, what does this do to blockchain network effects? What happens when users stop caring—or even experiencing—which chain an application lives on? - This space is still young, but I’m hopeful we’ll see things take off here soon. In the long run (say mid 2026) I expect this will be where most of the market cap of “AI x crypto” lives. --- That’s all I got for predictions. I promised I'd write this before I hit 100K followers, so I'm a little late, but still within the new year! Happy New Year everyone. Looking forward to being out of a job by this time next year! 🫡 Disclosure: These are all my personal opinions and do not represent the opinions of Dragonfly; Dragonfly holds investments in many of the names I mentioned in this piece. Not financial advice. DYOR. I may or may not be an AI.

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