Kevin Kelly (@Kevin_Kelly_II) header
Kevin Kelly (@Kevin_Kelly_II) profile picture

Co-Founder @Delphi_Digital Founding Partner @Delphi_Ventures Sucker for Fed pivots, wide fairways, and dual axis charts.

Joined August 2017
Photo by Kevin Kelly (@Kevin_Kelly_II)Photo by Kevin Kelly (@Kevin_Kelly_II)Photo by Kevin Kelly (@Kevin_Kelly_II)Photo by Kevin Kelly (@Kevin_Kelly_II)Photo by Kevin Kelly (@Kevin_Kelly_II)Photo by Kevin Kelly (@Kevin_Kelly_II)Photo by Kevin Kelly (@Kevin_Kelly_II)Photo by Kevin Kelly (@Kevin_Kelly_II)Photo by Kevin Kelly (@Kevin_Kelly_II)Photo by Kevin Kelly (@Kevin_Kelly_II)
The crypto market is highly cyclical. Crypto market cycles are also remarkably consistent. But their consistency isn’t just by coincidence. They’re predictable. If we're right, this has huge implications for the crypto market going forward. Time to air out some charts... 👇
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Who will dominate the AI compute market? Kevin: “It’s going to shift from data centers and building and the ability to potentially have future compute to a premium on actual installed working compute that you can monetize and generate revenue off of today. And I just think SpaceX and Elon are going to clean up this market in the next 12 months.”
A new episode of Hivemind is out now! This week Hypercall founder @trajan0x joins the team to discuss what the Anthropic IPO means for markets, how cyberattacks are exposing the internet’s weak points, and whether onchain options can finally break out. Timestamps 00:00 Intro 00:45 Patience Is a Position 03:49 Chop Until the Midterms 09:33 Can Efficiency Crush the Neoclouds? 13:10 What if Compute Gets 10x Cheaper? 17:09 Is the Internet Broken? 23:20 Could You Cash Out Satoshi’s Coins? 27:16 Is Quantum Theft Really Consensus? 35:31 What Led Synapse to Options? 42:54 What Onchain Options Do Better 46:41 Who Wins Options Distribution? 51:31 Credit Is the Next Frontier 55:09 Would You Buy the Anthropic IPO? 57:36 The Biggest Liquidity Drain in History? 58:35 Why Early Stage Venture Looks Best 1:03:22 Elon Comes for the Neoclouds 1:07:32 SpaceX and the Kessler Syndrome 1:08:53 What Are You Underexposed To?
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Kevin Kelly retweeted
New Delphi Podcast with Alex Wilson (@AlexWilsonTGB), co-founder of Cyclops and The Giving Block He sold The Giving Block to Shift4 a year after raising. Now he's building stablecoin rails for payments companies Shift4 is a customer and an investor. Out of stealth in March, Series A in July, more than 10 customers this year when they hoped for 3 His take: most of the world's 200 currencies won't make it. Fewer than 25 left in five to ten years 00:00 Intro 04:39 The Door-to-Door eBay Hustle 15:59 The $50M Anonymous Donation 17:41 Beating Coinbase by Going Narrow 19:55 Sold to Shift4 a Year Later 25:23 From Shift4 to NASA 27:31 Lessons From Jared 29:33 Hiring to Scare People Away 31:08 Why Start Cyclops 36:22 A Ticket to Space in Stablecoins 37:54 Who Stablecoins Cut Out 40:15 Agents Need New Checkouts 43:04 200 Currencies Down to 25 46:12 Seed to Series A in a Year 49:38 Swinging for a $10B Exit Full episode
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Kevin Kelly retweeted
Don't let another exchange hack shake you out of crypto as we enter the biggest trend we've ever seen: tradfi coming onchain. My conversation with @johnjdagostino covers what he sees from the largest institutional investors, inside tokenized stocks, Hyperliquid & Coinbase, the Middle East's role, Brian Armstrong's big bet, regulatory update, and more... John's story is so fascinating that Ben Mezrich made him the main character in one of his books. Previous works became best-selling movies The Social Network & Dumb Money. Close the charts, let the dust settle, and enjoy. 00:00 Intro 00:35 What Coinbase Sees That You Don't 03:32 Why Crypto Moving to Abu Dhabi 05:27 Money Shift in Middle East 09:26 How Nations Are Buying Bitcoin 10:52 Trip That Changed Everything 12:15 The Story Behind Rigged 13:18 Onchain Finance 18:09 Real World Assets 19:23 Tokenized Stock Potential 21:52 Sponsored by Kraken 23:04 Wall Street Adoption 25:25 Biggest Crypto Fund 29:36 Brian Armstrong's Big Bet 31:29 When SEC Cut Off Coinbase 35:06 Crypto Bears 37:10 Regulation 39:34 Price Impact 40:50 The Rising Tide 43:56 Future of Investing 45:09 What Meme Coins Proved 47:48 Hyperliquid vs. Coinbase 49:36 Where We Go Next
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It's all happening.
Kevin explains how Hyperliquid can benefit from the AI trade. “If Hyperliquid is able to build out a robust spot market for those assets, and then you can trade perps on top of that... HYPE itself can be a massive beneficiary.”
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Kevin Kelly retweeted
How do TradeXYZ and Hyperliquid benefit each other? Ryan Watkins: “They’re actually benefiting from the distribution that Hyperliquid has. The work they’ve done is incredible. It’s a symbiotic relationship where the economics are quite clear. They’re splitting the fees on HIP-3. That’s all you need to know.”
I am excited to be an investor in trade(xyz) as they partner with ICE to bring 24/7 perpetual futures on Hyperliquid to the United States. As a market participant, I am looking forward to to using their innovative product to enhance my investment process.
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New Hivemind just dropped 🚨 Market takes, Anthropic S-1, @elonmusk's neocloud shade, compute markets, sizing up cyber threats, and catalysts for onchain options to finally breakout Lot to unpack here ⬇️
A new episode of Hivemind is out now! This week Hypercall founder @trajan0x joins the team to discuss what the Anthropic IPO means for markets, how cyberattacks are exposing the internet’s weak points, and whether onchain options can finally break out. Timestamps 00:00 Intro 00:45 Patience Is a Position 03:49 Chop Until the Midterms 09:33 Can Efficiency Crush the Neoclouds? 13:10 What if Compute Gets 10x Cheaper? 17:09 Is the Internet Broken? 23:20 Could You Cash Out Satoshi’s Coins? 27:16 Is Quantum Theft Really Consensus? 35:31 What Led Synapse to Options? 42:54 What Onchain Options Do Better 46:41 Who Wins Options Distribution? 51:31 Credit Is the Next Frontier 55:09 Would You Buy the Anthropic IPO? 57:36 The Biggest Liquidity Drain in History? 58:35 Why Early Stage Venture Looks Best 1:03:22 Elon Comes for the Neoclouds 1:07:32 SpaceX and the Kessler Syndrome 1:08:53 What Are You Underexposed To?
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A new episode of Hivemind is out now! This week Hypercall founder @trajan0x joins the team to discuss what the Anthropic IPO means for markets, how cyberattacks are exposing the internet’s weak points, and whether onchain options can finally break out. Timestamps 00:00 Intro 00:45 Patience Is a Position 03:49 Chop Until the Midterms 09:33 Can Efficiency Crush the Neoclouds? 13:10 What if Compute Gets 10x Cheaper? 17:09 Is the Internet Broken? 23:20 Could You Cash Out Satoshi’s Coins? 27:16 Is Quantum Theft Really Consensus? 35:31 What Led Synapse to Options? 42:54 What Onchain Options Do Better 46:41 Who Wins Options Distribution? 51:31 Credit Is the Next Frontier 55:09 Would You Buy the Anthropic IPO? 57:36 The Biggest Liquidity Drain in History? 58:35 Why Early Stage Venture Looks Best 1:03:22 Elon Comes for the Neoclouds 1:07:32 SpaceX and the Kessler Syndrome 1:08:53 What Are You Underexposed To?
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Our new report “The AI Boom Has a Power Problem” is live! Power has become a harder constraint on AI than chips because it takes years to build, leaving pricing power with anyone who can deliver electricity faster than the grid. Read the report here. delphi.link/Power
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Timing of this convo couldn’t be better with the ICE/Hype news this morn @RyanWatkins_ goes deep on the $HYPE thesis, bull case, and how he sees this all playing out This isn’t coincidence, it was predestined
Why can’t Wall Street exchanges just build their own Hyperliquid? @RyanWatkins_: “They would need to re-architect their entire exchange stack because it’s built on the assumption that you needed to segment out all these different layers like brokerage and clearing and settlement and custody. And here we kind of built these exchanges that assume this is all in one single integrated stack. And you need that because how else are you going to be able to hold the margin on the exchange and liquidate it at a fraction of a second when you need to liquidate a position? If this guy was that good, he would not be trying to do this at CME. He’d be at Jeff.”
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Kevin Kelly retweeted
Why can’t Wall Street exchanges just build their own Hyperliquid? @RyanWatkins_: “They would need to re-architect their entire exchange stack because it’s built on the assumption that you needed to segment out all these different layers like brokerage and clearing and settlement and custody. And here we kind of built these exchanges that assume this is all in one single integrated stack. And you need that because how else are you going to be able to hold the margin on the exchange and liquidate it at a fraction of a second when you need to liquidate a position? If this guy was that good, he would not be trying to do this at CME. He’d be at Jeff.”
trade[XYZ] and ICE, owner of the New York Stock Exchange, are joining forces to bring 24/7 perpetual futures on Hyperliquid to the United States. In just over a year, our markets on Hyperliquid have surpassed $650 billion in volume. They provide continuous price discovery for stocks, indices, and commodities, and have become trusted reference points for retail and institutions alike when traditional markets are closed. Much of the world trades them. Until now, Americans could only watch. We intend to change that. Subject to CFTC approval, trade[XYZ] and ICE plan to establish a new, dedicated U.S. market, with novel exchange and clearing infrastructure built on Hyperliquid. Planned contracts span equities, indices, commodities, FX, and crypto, with access through participating brokers and platforms. We’ll share more on products, eligibility, and timing as approvals progress. ICE brings more than 25 years of experience operating regulated markets, clearing, and managing risk. trade[XYZ] brings the product development, market design, and technology behind the most liquid and robust markets on Hyperliquid. Innovation and the protections of U.S. regulation shouldn’t be a trade-off. Together, we plan to prove it. ICE is making a strategic investment in trade[XYZ] and joins us in building towards the future of Hyperliquid. A small group of market luminaries is joining as well, beginning with Stan Druckenmiller. For more than four decades, few investors have anticipated the great turns in markets as often as Stan. We’re proud to have him with us for the next one. We’re building the U.S. market in parallel with our existing HIP-3 markets, which we’ll continue to expand and innovate on. We expect both to flourish. They each have a long road map ahead, from new asset classes to new ways to trade them. To the Hyperliquid community, whether you were here before us or came because of us, thank you. You took a chance on new markets and you made them matter. You’ll forever be a part of this story. Anything. Anytime. On ICE[XYZ].
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Kevin Kelly retweeted
underappreciated aspect of the quantum risk for Bitcoin/crypto is that since the US & China both don't want to lose the ai or quantum race where Bitcoin is inextricably linked as the ultimate bounty... the manhatten project which is already underway will likely lead to a more secure system here faster than anywhere else
not only am i not worried about the crypto community's ability to handle the upcoming ai/quantum threat, i will venture to say that in the next 2 yrs the world will realize crypto is far better prepared for it than the rest of the internet and finance. we've had a trillion dollar *irreversible* honey pot for a decade, producing a far more battletested system and adversarial security culture than pretty much anywhere else on earth.
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Kevin Kelly retweeted
No equity company sits above $GRASS. The token is the asset. @0xdrej on how Grass is structured and why it matters for holders The Grass Foundation is ownerless, faces every customer and owns all the IP. Wynd Labs is a service provider to it, approved by directors with no stake in Wynd, and the Wynd team are token holders themselves Grass also owns its infrastructure, where most web access startups rent it. Every dollar reinvested makes the network better instead of paying vendors more They’ve been shipping products one at a time, so I asked what he’d do with a war chest. His answer was to run every initiative at once “Our mission for Grass is for Grass to become the way in which AI accesses information”
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Kevin Kelly retweeted
New Delphi Podcast with Tarun Chitra (@tarunchitra), founder of Gauntlet and managing partner at Robot Ventures Robot just led the $90M round in @NousResearch. Tarun spent three to four months on diligence, from OpenRouter data to GitHub forks, before backing Nous and Hermes Agent We get into why crypto's first run at AI went wrong, why the crypto people who dropped the token won, why OpenClaw is the worst developer experience he's used, and why Hermes is closer to Ubuntu than to Android He also found Chinese robot makers building on Hermes, and some inference providers gaming cache pricing His market structure take: all the money goes to the top and the bottom. Harnesses on top, inference underneath. Hermes is like investing in Phantom or FOMO 00:00 Intro 06:34 Robot Leads Nous's $90M Round 09:37 Crypto AI Was Meme Coins With More Steps 14:40 Why Nous Stood Out Early 28:14 Hermes vs OpenClaw 35:39 The End of AI Lock-In 46:33 The Ubuntu of AI 56:17 Microsoft and Nvidia Join the Round 59:42 OpenRouter Is a DEX for AI 1:07:02 All the Money Goes to the Top Disc. Delphi Ventures co-led the seed of Nous Research and invested again in the Series A and B Full episode
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Kevin Kelly retweeted
The @RyanWatkins_ episode is now live covering hyperliquid:native, perps coming to Wall street, conviction and sizing up, Solana & Pump social trading, and finding the next secular winners in crypto. Watch on YT: youtu.be/oQQErgSvjnc?is=eTte…
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Kevin Kelly retweeted
A conversation w/ @RyanWatkins_ co-founder of Syncracy Capital, a thesis-driven crypto hedge fund. We discuss what most people are still missing with Hyperliquid, perps coming to Wall Street, Stan Druckenmiller's bet, why categories don't matter anymore, revenues vs money, respecting the pump, social trading, whether Solana or _____ wins, and finding the next secular trends. 00:00 Intro 00:37 Hyperliquid hyperliquid:native 03:00 Finding Big Ideas 06:22 Hidden Alpha 09:16 Secret to Success 10:31 Beginner's Mindset 11:43 Writing & Conviction 13:31 Wall Street Discovers Hyperliquid 14:45 Druckenmiller's Bet 16:30 Perps Taking Over 19:06 Why Categories Don't Matter 20:13 All of Finance 20:35 Sponsored by Kraken 21:40 Assessing Risks 26:02 Comparative Analysis 30:30 Downstream Effects 34:40 Who wins? solana:So11111111111111111111111111111111111111112 37:30 Finding Next Secular Trends 40:09 Social Trading & Memes 46:51 Weak vs. Strong Form 48:40 How Syncracy Finds Big Ideas 52:00 Revenue and zcash:native 56:00 Respect the Pump 1:00:48 Frameworks & Timing
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Grass Founder @0xdrej explains why AI labs are racing against the clock. “The work that goes into taking huge amounts of data and turning it into what you want to actually train your model on is massive, and it takes time. And time is probably the most valuable resource right now in AI.”
New Delphi Podcast with Andrej Radonjic @0xdrej, founder of Grass To a website, Grass looks like normal users browsing. Behind it is millions of opted in residential nodes and a data platform that has delivered exabytes of web data to the frontier labs We get into how AI flipped the hard part of search upside down. The index used to be the moat, and crawling was free. Now AI tooling makes the index cheap, while AI crawlers have pushed the web into blocking everything. The hard part is getting the page at all Training data is already a profitable business for Grass with most of the top labs and multiple Mag 7 companies as customers. Crawling for that data also means mapping the entire internet, which is what puts Grass in a position to build search on top of it. Contents API is live, Search is next, and multimodal grounding follows 00:00 Intro 00:43 From Nuclear Physics to Web Scraping 03:38 The Pandemic Signal Everyone Missed 07:31 The Smart TV Proxy Scandal 09:10 Why the Internet Is Blocking AI 11:56 Training Data vs Live Data 16:05 Mapping the Entire Internet 18:03 Delivering Exabytes to AI Labs 21:48 What AI Labs Really Pay For 24:43 How Robots Learn From Web Video 33:02 When Labs Change Direction 35:57 One API Call for Any Website 41:58 AI Flipped Search Upside Down 47:03 Can the Network Keep Up? 49:52 The Defense Tech of AI Data 52:58 Why Data Is the Alpha 57:08 Why AI Labs Won’t Buy Slop 59:17 The Metric That Matters Most 01:02:35 The $100 Billion Data Market 01:05:07 Who Actually Owns Grass 01:08:18 What a Real Moat Looks Like 01:13:16 What Happens Next Disclosure. Delphi Ventures holds $GRASS Full episode
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A new episode of Hivemind is out now! This week the team discusses whether AI is a debt bubble, what quantum risk means for bitcoin, what’s next for the Hyperliquid ecosystem and more. Timestamps 00:00 Intro 00:44 Has Crypto Bottomed? 03:05 BTC’s Morning Seller Is Gone 04:32 Token Unlocks Into Year End 07:14 Do the Midterms Matter? 09:23 Is AI a Debt Bubble? 10:40 The Trillion AI Capex Math 15:53 Anthropic’s Revenue Is Exploding 19:10 The Reflexive AI Demand Risk 25:00 Why This Isn’t 2000 33:51 Crypto’s Goldilocks Case 36:01 Who Gets Satoshi’s Coins? 37:59 Quantum Fear Lifts ZEC and Pearl 41:49 Has Quantum Changed Your BTC Bet? 48:13 Two Big Themes for Next Year 50:12 Papertrade’s Token Problem 59:11 Kinetiq and the HyperEVM Bet 1:09:31 Why Hyperliquid Users Stay Loyal 1:12:30 PUMP vs FOMO 1:16:29 The Rise of Anti-Social Trading
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Kevin Kelly retweeted
Most of the internet blocks AI agents. An agent running on AWS looks like a scraper, so websites block it by default. @0xdrej on why access is now the constraint for AI, for training and for inference. Plus why crawling for training data ends up building the index you need for search.
New Delphi Podcast with Andrej Radonjic @0xdrej, founder of Grass To a website, Grass looks like normal users browsing. Behind it is millions of opted in residential nodes and a data platform that has delivered exabytes of web data to the frontier labs We get into how AI flipped the hard part of search upside down. The index used to be the moat, and crawling was free. Now AI tooling makes the index cheap, while AI crawlers have pushed the web into blocking everything. The hard part is getting the page at all Training data is already a profitable business for Grass with most of the top labs and multiple Mag 7 companies as customers. Crawling for that data also means mapping the entire internet, which is what puts Grass in a position to build search on top of it. Contents API is live, Search is next, and multimodal grounding follows 00:00 Intro 00:43 From Nuclear Physics to Web Scraping 03:38 The Pandemic Signal Everyone Missed 07:31 The Smart TV Proxy Scandal 09:10 Why the Internet Is Blocking AI 11:56 Training Data vs Live Data 16:05 Mapping the Entire Internet 18:03 Delivering Exabytes to AI Labs 21:48 What AI Labs Really Pay For 24:43 How Robots Learn From Web Video 33:02 When Labs Change Direction 35:57 One API Call for Any Website 41:58 AI Flipped Search Upside Down 47:03 Can the Network Keep Up? 49:52 The Defense Tech of AI Data 52:58 Why Data Is the Alpha 57:08 Why AI Labs Won’t Buy Slop 59:17 The Metric That Matters Most 01:02:35 The $100 Billion Data Market 01:05:07 Who Actually Owns Grass 01:08:18 What a Real Moat Looks Like 01:13:16 What Happens Next Disclosure. Delphi Ventures holds $GRASS Full episode
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Why are AI labs are so secretive about their training data?
New Delphi Podcast with Andrej Radonjic @0xdrej, founder of Grass To a website, Grass looks like normal users browsing. Behind it is millions of opted in residential nodes and a data platform that has delivered exabytes of web data to the frontier labs We get into how AI flipped the hard part of search upside down. The index used to be the moat, and crawling was free. Now AI tooling makes the index cheap, while AI crawlers have pushed the web into blocking everything. The hard part is getting the page at all Training data is already a profitable business for Grass with most of the top labs and multiple Mag 7 companies as customers. Crawling for that data also means mapping the entire internet, which is what puts Grass in a position to build search on top of it. Contents API is live, Search is next, and multimodal grounding follows 00:00 Intro 00:43 From Nuclear Physics to Web Scraping 03:38 The Pandemic Signal Everyone Missed 07:31 The Smart TV Proxy Scandal 09:10 Why the Internet Is Blocking AI 11:56 Training Data vs Live Data 16:05 Mapping the Entire Internet 18:03 Delivering Exabytes to AI Labs 21:48 What AI Labs Really Pay For 24:43 How Robots Learn From Web Video 33:02 When Labs Change Direction 35:57 One API Call for Any Website 41:58 AI Flipped Search Upside Down 47:03 Can the Network Keep Up? 49:52 The Defense Tech of AI Data 52:58 Why Data Is the Alpha 57:08 Why AI Labs Won’t Buy Slop 59:17 The Metric That Matters Most 01:02:35 The $100 Billion Data Market 01:05:07 Who Actually Owns Grass 01:08:18 What a Real Moat Looks Like 01:13:16 What Happens Next Disclosure. Delphi Ventures holds $GRASS Full episode
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