Research Analyst @ARKInvest covering payments, commerce & prediction markets📱🛒🛍️💳💰 @nyuniversity alum Disclosure: arkinv.st/terms

True to its ethos from day one, @RobinhoodApp continues to democratize finance. Its $HOOD Summit lineup brings institutional grade trading strategies and tools to retail investors through products like Robinhood Agents. Read more for our takeaways from HOOD Summit below👇
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prediction: @vladtenev in an astronaut suit👨‍🚀 pumped for what’s coming next from @RobinhoodApp!!🚀
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Financial contracts are the real story in prediction markets. Non-sports volume on @Kalshi and @Polymarket is projected to grow nearly twice as fast as sports this year as crypto contracts and perpetuals push prediction markets beyond sports wagering.
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Social Trading has gone mainstream in 2026. @fomo's monthly downloads now rival other copy trading apps & fintech incumbents. This could be the YouTube moment for finance. Anyone with an edge can build an audience, and that influence becomes a distribution channel for capital.
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.@Meta’s Muse partnering with Stripe’s @link for checkout and purchase warranties highlights how critical payments are to agentic activity. If you don’t trust your agent to make a purchase on your behalf, what good is the agent?
Introducing Muse, the personal agent that understands your goals and works 24/7 to get things done for you.
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Varshika Prasanna retweeted
Interesting chart from @emergencecap on public market performance of seat-based vs consumption-based software stocks
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new financial superapp on the block! welcome to the US @Revolut
We just received conditional approval from the U.S. OCC for our U.S. national bank charter
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we’re so back
We’re excited to release Muse Spark 1.3 with improved performance on agentic and coding tasks, and a focus on real-world usability. Key capabilities: → Sustains longer-horizon work across multiple workflows in a single thread → More actively collaborates with users: it asks clarifying questions, flags when it's stuck, confirms before consequential actions → Better calibrated on its own limits instead of hallucinating outcomes → ~20% fewer tool calls and ~25% fewer tokens vs. Muse Spark 1.2 in internal comparisons
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Robinhood showing every "crypto native" company how it's done.🚀
Robinhood Chain: two months in. đź”·Total DEX volume: $34.6B đź”·Protocol TVL: $1.27B đź”·190+ Stock Tokens live, with $3B+ in cumulative DEX volume đź”·Total transactions: 576M đź”·Total addresses: 12.3M đź”·Perps trading on Lighter: $7.29B in total volume Gratitude to every user and builder behind the numbers. Onward.
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AI purchasing agents are here to transform commerce! By compressing the purchase journey and reducing friction from discovery to checkout, we think AI agents could drive over $8T in online consumption by 2030.
We're open-sourcing Claude Commerce Agents. This is a blueprint for building shopping and merchant agents, with reference implementations across retail, travel, telecom, and entertainment.
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If you’ve been following the growth of @fomo and other social trading apps, @GrousARK and I wrote about why social trading could be the YouTube moment for finance through the lens of @RobinhoodApp Social. Read more on Substack here: 🔗substack.com/home/post/p-213…
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Sports is just the on ramp to more interesting politics, financial & economics contracts. + Kalshi perps are on 🔥
Non-sports volume on @Kalshi continues to accelerate significantly
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so much has happened with consumer AI since the start of the year! watch for some updates on how consumer AI monetization is going👇
Seven months since Big Ideas 2026, and our AI charts need updating. @downingARK, @JozefARK, @DMaguireARK, and @varshikaARK cover four main topics in the mid-year AI review: compute buildout, power, consumer monetization, and agent efficiency. Watch now! youtu.be/99F0OkPxj4Q?si=Sctc…
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anecdotal evidence but the store was 11 mins away by car and just 2 mins by drone. Drones reduce delivery routes to distance as the crow flies. Faster delivery and lower costs could massively expand the TAM for e-com, food & grocery delivery!
We ordered a Zipline drone delivery. @TashaARK shares our thoughts.
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purchasing agents in action!!
Instinct + Stripe Instinct users who make purchases spend over $1300/month on average through Instinct. Using Instinct to make high value purchases is a sign of trust that we deeply value. We’re partnering with Stripe to deliver a more seamless payment experience. Instinct has enabled use cases that involve payments including: - Planning and booking international trips - Ordering weekly groceries and household essentials - Booking yoga classes, ski tuning sessions, doctor’s appointments, car part repairs, and more - Getting you the best price for anything you’re looking for
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prediction markets democratize access to risk management. specialty insurance was built for large corporations with the scale to hedge niche risks. now prediction markets can bring similar tools to small businesses. we could see a TAM expansion moment for specialty insurance.
Shipping a 40 foot container cost $1,420 in 2019. Two years later it hit $10,377. James, CEO of Zest, lived through it. He asked us to list container freight, so he could hedge the thing that nearly took him out the first time. Big companies have had freight derivatives for decades. Now a tea company with 20 employees does too.
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AI is a massive tailwind for entrepreneurship. Clerky + Stripe Atlas makes it easier to go from builder to founder and puts Stripe at the center of this new wave of business formation.
We're happy to announce that @clerkyinc has agreed to join @stripe! We started Clerky more than a decade ago because we believed startups and their attorneys should be able to get routine startup paperwork done quickly, easily, and without causing problems for legal due diligence. As startup attorneys in Silicon Valley, we saw how our clients would try to get paperwork done faster and cheaper, but ended up paying us more in the end to fix everything. We started Clerky to provide the experience our clients were looking for, but with our legal expertise built into the products. Today, Clerky is the most popular online legal service for top startups and their attorneys. Clerky startups account for 23% of all Silicon Valley seed / pre-seed financings and have raised over $140 billion in aggregate venture capital. Hundreds of attorneys and paralegals are working with their clients on Clerky. Startup formation on Clerky grew 6.5x faster in the past year than our historical average. Along the way, we’ve gotten to know many platforms in the startup ecosystem, including Stripe. The more we got to know the team at Stripe, the more we found similarities, not only between our culture and beliefs, but also in our shared mission to help the startup ecosystem. As a part of Stripe, Clerky will continue to build on this momentum with the same team and the same focus we've always had: helping high-growth startups and their attorneys get routine legal paperwork done safely. And we’ll continue providing the same high level of service to startups and attorneys that we do today. We know that startups trust us with their most important legal paperwork and rely on us in their most important moments. Stripe has spent over 15 years building infrastructure that startups depend on and is one of the most startup-aligned companies in the world. With this strong fit, we're very excited for Stripe to be our long-term home. Thank you to all the startup founders and attorneys that have been a part of our journey to date. We all want life to be easier for startups, and your support has always been critical in enabling our work toward that. We'll now have more resources to leverage in building new products and features for you, and we can't wait.
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before AI, a long form written piece was a signal of high effort bc you assumed the author spent time researching and refining their argument. AI has made it incredibly cheap to produce something long, polished and pretentiously comprehensive. so length no longer signals effort like it once did. humans don't value long form writing anymore bc we assume it was easy to generate with AI. imo, the signal of good writing today is clarity. a concise piece likely means you put in the effort to actually think about the point you're trying to make.
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