Introducing @Creatorgenapp, Pangram for video. @Kalshi ran an AI ad made from @elliot_choy’s YouTube video, face swapping him into a different person. Most people never find out when this happens to them. AI can swap your face, voice and background, but not how you move. We use motion-tracking to catch AI deepfakes by matching your poses and body movements frame by frame. Give Creatorgen your content library and we’ll scan Meta and Google ads for AI ripoffs, then help you take them down. We’ve already found advertisers running up to 900 ads that appear to reuse other creators’ videos. It’s time creators owned their likeness in the age of AI. Join the waitlist ⬇️

landed our biggest customer yet 👀 - $60B co Our harness + context advantage has been compounding and we’ve been surfacing some really deep issues from our prod scenario simulations DM me if you care about shipping bug free code

0 builder fees are a win for traders. HyperLink goes further. Trade on Hyperliquid's order book below base fees, and keep your positions, balances and orders private. Building an app or AI agent? Best execution for your users runs through HyperLink.

Rain now powers @SeatGeek's Game Day Your Way. Bringing tickets, payments, and rewards into one seamless experience. Earn rewards at the game, then use them for a beer at a local bar after a win, all with one wallet and card. Live with @cavs. More to come.

There’s no universally “best” routing policy. The right model depends on the task—and your taste. Opus 5.5 is my daily driver, but I don’t like its copywriting voice. For copy, I prefer GPT 6.1 Sol. System One models like @typesafeai's Jev let you teach @Auto_Router those preferences in a few clicks.

Solving compute bottlenecks is critical to scaling intelligence, and onchain infrastructure could have a major role to play. Join us tomorrow alongside USDAI and some of the largest market makers in the world to explore where the space is headed and the opportunities ahead. Apply below.

In all our conversations with storytellers @fringe_film, it's become clear just how hard is to get something made in the studio system. Hollywood can't fund new IP unless they keep making money off their existing IP.

Working with AI video models is like gambling. Our job at @fringe_film to help storytellers leave less to chance. Focus on pre-generation and post-generation workflows, and spend less time pulling the slot machine lever.

Interesting startup idea would be using agents with phone use to sit on top of Ubereats, Doordash and automatically accept or decline orders based on pricing/demand and minimum earnings. Essentially we give every gig worker their own personal agent to negotiate/maximize their earnings across all platforms

I think we end up seeing companies that are synonymous with a customer archetype, instead of just a vertical. You can now truly build everything that a customer needs. Shopify should not only serve the storefront/payments/financing needs of a DTC entrepreneur, but also help them with their accounting, taxes, sourcing, marketing, and more! More explicitly: - Shopify = DTC entrepreneurs - Stripe/Ramp = Technology entrepreneurs - Coinbase = Investors/traders - Opendoor = Homeowners

What Jack meant by there is no moat is that many of the future companies will eventually look very similar even though they all started in completely different sectors and you’re already starting to see bits of this now Square e.g Payments -> Lending & Payroll -> Business Operations -> Applied AI Lab Ramp e.g Corporate Cards -> Expense Management -> Back Office Operations -> Applied AI Lab Stripe e.g Payments -> Financial Infrastructure -> Applied AI Lab Shopify e.g Online Storefronts -> Payments & Fulfillment -> Merchant Operations -> Applied AI Lab What’s interesting is that all these companies started from completely different entry points, but over time they’re starting to look more and more similar and eventually will compete with each other in some form I think ai is going to accelerate this, making it much easier for companies to expand into markets that historically would’ve taken years to enter My take is that companies are going to look more like pods of interconnected businesses vs operating in one singular sector and I believe a lot of sectors will start to merge e.g there won’t be a fintech sector, it’ll be a merge of finance, commerce, software and intelligence all bundled together. The same could happen with compute, energy, and finance, or media, commerce, and advertising etc And as these sectors merge, companies that never competed with each other will start competing for the same customers Think companies that are extremely ai forward are thinking about how many sectors they can bring together under one company vs the ones that have been skeptical or too slow to move

Think cold outreach via emails / DMs should be an edge now with AI. I autoscreen every DM/email, run background checks, and decide whether to respond. Think every founder should be writing hyper personalized emails knowing they’ll be diligenced by AI.

My take on a16z crypto moving into frontier tech. First, I'll always be grateful to a16z for helping validate the space back in 2013 when Chris Dixon led their investment into Coinbase, which got me even more excited about crypto. But the final nail in the coffin for my previous career, and what ultimately pushed me to pivot my entire career into Bitcoin, was Marc Andreessen's 2014 NYT oped, Why Bitcoin Matters. If you haven't read it, suggest reading it. It's still important to this day. A lot of people have probably forgotten, but in those days we were all just looking for external validation. Very few institutions or funds were willing to publicly endorse crypto, and two of the funds that took a real brand risk were a16z and USV. Since then, we've seen some of the most incredible talent enter the space and fundamentally reshaped what crypto is today. You can actually argue that a lot of the AI infrastructure development we're seeing today wouldn't be where it is without Bitcoin mining infrastructure and the talent that flowed from crypto into AI. There is a real connection between the two industries that I don't think gets enough credit. Now, moving from crypto into frontier tech, whether that's robotics, bio, AI, energy, compute etc just means to me that the talent and muscle we developed building crypto over the past decade can now be used to build across all of frontier tech. We spent years building something that was nascent, misunderstood, and in many cases hated by the world. We developed thick skin, continued investing and building, and had to constantly show the world why this tech mattered. Even during thanksgiving dinners. And I think that makes us uniquely suited to build frontier tech. An example is data centers. Today, people and governments are increasingly pushing back against them. Well, people and governments hated crypto too, but we continued to invest and build, and now almost all of trad finance is embracing crypto in some capacity. I believe frontier tech represents the next generation of pirates in technology. People willing to build things that are nascent, misunderstood, and sometimes hated by the world. We're going to be hated and loved along the way, but we're going to keep building cool shit that the world hasn't recognized the importance of yet. And crypto taught me that the world usually doesn't recognize the importance of new tech until years later which is why I stay close to talent