Tank Talks By Ripple Ventures

In this episode of Tank Talks, host Matt Cohen sits down with Anthony Mouchantaf, co-founder and CEO of Biossil, a biotech company on a mission to resurrect orphaned drugs using AI and a hedge fund–inspired operating model. Anthony takes us through his unconventional journey: from a law school student obsessed with Alexander Hamilton, to founding his first startup, Rthm (acquired), to investing at OMERS and RBC, and finally returning to the founder seat with Biossil.They dive into the mindset shift required to leave a stable legal career for the uncertainty of startups, why Anthony views entrepreneurship as a “drug,” and how his time as an LP shaped his view of what separates great VCs from mediocre ones. Anthony opens up about the early days of Biossil, the “too cute” capital-efficient strategy, and how a serendipitous dinner intro to Founders Fund changed everything.He also breaks down the real-world mechanics of acquiring off-the-shelf drugs, the brutal reality of biotech timelines, and why regulatory reform is the hidden bottleneck to AI-driven medicine. From the partnership with OpenAI to the company’s operating philosophy (hedging beta, maximizing catalyst density, and isolating alpha), Anthony offers a blueprint for building a resilient, mission-driven biotech for the AI era.Whether you’re a founder, investor, or just someone curious about the intersection of AI and life sciences, this episode is packed with hard-earned wisdom on risk, identity, and the art of controlling what you can control.From Law School to Startup Life (02:24)* Growing up in Toronto as the child of immigrant parents, chasing constitutional law* The Alexander Hamilton obsession that started in high school* Teaching a course at U of T law without ever practicing* How a late-night conversation at Massey College with co-founder Alex led to RthmWhat Founding Rthm Taught Him About Himself (06:14)* Getting comfortable with structural uncertainty as almost “a drug”* Why you can take the individual out of the startup, but never the startup out of the individual* The itch that never fully goes away after founding somethingFrom Founder to Investor: OMERS and RBCX (07:11)* What separates great investors from destructive ones* “Extremely hard to kill”: what he saw early in Matt and Ripple Ventures* Why most VCs cluster around mediocrity, and what the outliers do differently* The poker-chip analogy: how capital position shapes VC risk appetite* Why good LPs need to “thumb the scale” for good VCs, just as good VCs do for foundersThe Idea Behind Biossil (15:05)* Reuniting with Alex, an MD-PhD, after years on separate paths* The core problem: drug development should be recursive, but biotechs can’t afford to make it so* Why promising drugs get stranded in “regulatory limbo” when the data is equivocal, not failed* The insight: using technology to systematize what was historically a relationship-driven, human-scale rescue effortBiossil 1.0 vs. the Bigger Vision (20:43)* Launching in 2023 on a lean seed round with no capital to acquire drugs outright* Getting “too cute” trying to solve the problem at a fraction of the necessary cost* Why most VCs evaluate founders cross-sectionally instead of longitudinallyHunting for Orphaned Drugs (26:03)* Why data is a cost of admission in biotech, not a moat like in tech* How Biossil structures deals to share economics with original rights holders* Why inbound interest rarely meets their barRunning Biossil Like an Operating Hedge Fund (30:50)* Isolating alpha, or execution, from beta, or market and biotech cycle risk* Why traditional biotech investing is “binary risk you can’t underwrite” without a portfolio* Building resilience through catalyst density instead of just runway* The “epsilon” factor: surviving long enough for unexplained outcomes to work in your favorBuilding Lean with AI (34:12)* Running a hyper-efficient, eight-person core team* Why Biossil takes on regulatory and commercial risk, not manufacturing risk* The pipeline today: $70M raised, 11 drugs, 5 open clinical trials across the US, Canada, and Europe* What makes manufacturing the most underestimated cost in biotechThe Next 5-10 Years for Biossil (49:47)* The long-term vision: an approved-drug pipeline, deeper trials, more disease areas* Bringing new mechanisms of action to market as a category-defining goalAdvice to His Past Self (51:15)* Why he’s hesitant to just tell people to “go do entrepreneurship”* Motivation matters more than the identity of being a founder* The Steve Jobs commencement speech that reframed how he thinks about riskAbout Anthony MouchantafAnthony Mouchantaf is the co-founder and CEO of Biossil, a biotech company that uses AI to systematically identify, acquire, and advance orphaned drugs left behind by failed clinical trials. With a background in law (U of T), startup founding (Rthm, acquired), and venture investing (OMERS, RBC), Anthony brings a rare blend of legal, financial, and operational discipline to the high-stakes world of drug development. Biossil is backed by Founders Fund and OpenAI, and is on a mission to turn industrial-scale drug resurrection into a new category of biotech innovation.Connect with Anthony Mouchantaf: https://www.linkedin.com/in/anthony-mouchantaf-508442113/Learn more about Biossil: https://www.biossil.co/Connect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

Matt Cohen and John Ruffolo break down the collapse of Canada-U.S. trade negotiations, the unanswered questions surrounding the failed deal, and whether Canada is protecting legacy industries at the expense of technology and long-term economic growth.They also examine Prime Minister Mark Carney’s ambitious pitch to bring international capital back to Canada, including billions of dollars in proposed energy, transportation, infrastructure, and technology projects. But can a polished deal book convince investors to fund projects that have struggled to attract capital for years?Finally, Matt and John unpack the political battle forming around Anthropic’s anticipated IPO, the growing influence of AI regulation campaigns, and Miro’s dramatic fall from a $17.5 billion valuation.As Canada searches for a way out of its trade crisis, global investors are being asked to reconsider the country’s economic potential. At the same time, AI companies are entering a political and regulatory battle that could determine who controls the industry’s future.If you are a founder, investor, policymaker, or anyone trying to understand where capital and technology are heading next, this episode is worth your time.–A big thanks to our sponsor, Moomoo CanadaThis is the kind of tooling that used to live on a Bloomberg terminal, but now it is on your phone, just a few taps away. They offer real-time data, full options chains, and an AI assistant that actually explains trading strategies.Moomoo is the perfect place for people who want to take their money seriously. Open an account today at moomoo.caWhy Canada-U.S. Trade Talks Fell Apart (01:31)The latest Canada-U.S. trade negotiations appeared close to producing an agreement until everything suddenly unraveled. John argues that the biggest problem is not simply the failed deal, but the Canadian government’s refusal to clearly define what success was supposed to look like.With provinces reportedly objecting to parts of the proposed agreement and conflicting stories emerging from both sides, Canadians are left guessing about what happened. John asks the uncomfortable question: Is Canada protecting dairy and other legacy interests while sacrificing its technology economy?The Real Cost of Walking Away From the U.S. (07:43)Many Canadians support ending the negotiations, but that support begins to disappear when higher taxes, rising unemployment, and slower economic growth enter the conversation. John warns that Canada cannot reduce its dependence on its largest trading partner without experiencing real financial pain.That burden will not be shared equally. Older Canadians with homes, pensions, and U.S. investments may be able to absorb the disruption, while younger Canadians already struggling with housing and affordability have much more to lose.Carney’s Plan to Bring Investment Back to Canada (10:18)The Canada Investment Summit is presenting more than 160 opportunities across energy, critical minerals, transportation, manufacturing, digital technology, and infrastructure. The goal is to reintroduce Canada to international investors after a decade in which global capital largely looked elsewhere.John supports the strategy but tempers expectations. The summit may not produce immediate checks, but it could rebuild the relationships Canada needs to finance major projects and reverse its reputation as an undercapitalized market.Anthropic’s IPO Enters the AI Political War (16:15)A former Anthropic researcher’s warning about self-improving superintelligence quickly spread across the internet, creating fresh questions about AI safety and the company’s anticipated IPO. Matt examines whether the viral backlash emerged organically or was amplified by politically connected organizations pushing for tighter AI regulation.John believes there is no neutral position in the AI debate anymore. Competing groups are funding optimistic and catastrophic narratives, turning data centers, employment, regulation, and AI safety into deeply political issues. Despite the controversy, he does not expect the backlash to derail Anthropic’s IPO.Miro’s Collapse and the Continuing SaaSpocalypse (21:11)Miro was valued at $17.5 billion at the height of the software boom. Its reported acquisition by Bending Spoons at a fraction of that valuation shows how brutally the market has repriced venture-backed SaaS companies.Miro remains a substantial business with hundreds of millions in recurring revenue and a strong enterprise customer base. The problem was not the product; it was the inflated valuation and financing structure built around it. John expects more overfunded unicorns to face similar outcomes.Connect with John Ruffolo on LinkedIn: https://ca.linkedin.com/in/joruffoloConnect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

In this episode of Tank Talks, host Matt Cohen sits down with Chris Pronger, Hockey Hall of Famer, Norris and Hart Trophy winner, Stanley Cup champion, two-time Olympic gold medalist, and one of the NHL’s 100 greatest players. Chris takes us inside the mindset that transformed him from a booed 21-year-old in St. Louis into one of the most dominant defensemen of his generation.They break down what it really takes to bet on yourself, why delayed gratification is the secret to sustained excellence, and how Chris rebuilt his entire training protocol from the studs after already being nominated for a Norris Trophy. Chris opens up about the early-career failures that forced him to look in the mirror, the veterans who shaped him, from Brad McCrimmon to Wayne Gretzky and Al MacInnis, and the 4-pound muscle between his ears that changed everything.He also shares hard-won lessons on leadership, managing teammates with different personalities, the importance of culture in championship runs, and why the best leaders lead by example, not just by talking. From the 2007 Stanley Cup run with Anaheim to the scary commotio cordis incident in 1998 and the eye injury that ultimately ended his career, Chris delivers a raw, unfiltered look at the true cost of greatness.Whether you’re an athlete, a founder, a leader, or simply someone trying to earn your way forward, Chris offers practical wisdom on resilience, identity, and the art of controlling what you can control.A big thanks to our sponsor, Moomoo CanadaThis is the kind of tooling that used to live on a Bloomberg terminal, but now it is on your phone, just a few taps away. They offer real-time data, full options chains, and an AI assistant that actually explains trading strategies.Moomoo is the perfect place for people who want to take their money seriously. Open an account today at moomoo.caWhy Multi-Sport Athletes Have an Edge (04:33)* The physical and mental benefits of playing multiple sports* Proprioception, hand-eye coordination, and learning how to learn* Why parents are stealing their kids’ childhoods with early specialization* The truth about peewee superstars: 99 out of 100 aren’t the best at 18The Veterans Who Shaped a Hall of Famer (07:28)* Brad McCrimmon as a mentor and “woobie” in Hartford* Learning consistency, preparation, and professionalism from the ground up* Walking into a locker room with Gretzky, Hull, MacInnis, and Fuhr* Watching how the greats handle media, scrutiny, and the grindGetting Booed, Hitting Rock Bottom, and the Aha Moment (10:33)* Being traded for Brendan Shanahan and getting booed relentlessly in St. Louis* The dark hole of not being prepared and the wake-up call that changed everything* Why Gretzky’s arrival was a blessing that took the spotlight off him* The summer that launched his ascent: training, preparation, and the 4-pound muscleThe Magical 1999-2000 Season (13:27)* Winning the Hart and Norris in the same year, first defenseman since Bobby Orr* Staying healthy through proper training and offseason dedication* How Al MacInnis’ injury forced him to carry more weight* The magical regular season that fell apart in the playoffsDelayed Gratification and the 2007 Stanley Cup Win (16:15)* Compounding summers of training with Charles Poliquin* Scrapping his entire training protocol after a Norris nomination* Getting twice as strong in one summer and feeling the difference on the ice* Winning the Cup with Anaheim, and why the mission was winning for everyone elseOutlasting Opponents and Battling Peter Forsberg (19:46)* Taking pride in being the best-conditioned athlete on the ice* The battle of attrition and grinding guys down* Why Forsberg was one of the toughest players he ever faced* The physical toll of playing a heavy gameLeading by Example vs. Talking About Standards (24:01)* Holding teammates to a high standard, and showing them why* Why teammates need to see your work ethic every single day* Managing different personalities and knowing how to reach each player* The evolving nature of culture in a locker roomThe 2007 Ducks Run and Championship Culture (29:46)* A veteran core with different leadership styles: Scotty Niedermayer, Teemu Selanne, Rob Niedermayer* The self-policing group that didn’t need one person grinding all the time* Winning for Teemu, winning for Jiggy, winning for each otherThe Heart-Stopping Incident and Ripping the Band-Aid Off (32:05)* Blocking a shot that hit him in the heart, commotio cordis* Stopping breathing for 25-30 seconds and the surreal aftermath* Playing two days later to avoid the stigma and the questions* Comparing his experience to Damar Hamlin’sThe Eye Injury, Losing His Sixth Sense, and Forced Retirement (37:45)* The stick to the eye that ended his career* Losing the spatial awareness that made him elite* Watching the game from the outside and realizing at 40 it was too fast* Evolving from “what if I was playing” to “how can I help players get better?”Controlling What You Can Control (44:24)* Learning to park the game at the door and not stew on mistakes* The maturity to separate performance from identity* Sleeping better, recovering faster, and playing longerThe Year Off and Avoiding Post-Career Pitfalls (46:42)* The best advice he ever received: take meetings, listen, wait a year* Retraining his eye and healing his head for 18 months* Why jumping into the next thing too fast is a trapInvestment Mistakes and Lessons Learned (51:03)* Prioritizing people over the deal itself* The red flags, last-minute asks, rushed timelines, and fine print* Sleeping on every decision and never committing on the spotWriting Earned and Taking Off the Armor (54:17)* The hardest truths to put on the page* Why hockey stories alone weren’t enough: mistakes, growth, and evolution* The message that everything in life is earned, no shortcuts, no handoutsParenting, Legacy, and the No-”What-If” Rule (57:21)* No what-if games in the Pronger household* You can’t cherry-pick moments; everything changes with every fork in the road* No rearview mirrors, learn, grow, evolve, and keep moving forwardAbout Chris ProngerChris Pronger is a Hockey Hall of Famer, Norris Trophy winner, Hart Trophy winner, Stanley Cup champion, and two-time Olympic gold medalist. Over a 20-year NHL career, he played for the Hartford Whalers, St. Louis Blues, Edmonton Oilers, Anaheim Ducks, and Philadelphia Flyers. Known for his physical dominance, elite hockey sense, and relentless conditioning, Pronger was named one of the NHL’s 100 greatest players. Since retiring, he has focused on his family, his wife Lauren’s luxury travel company, Inspired Travels, and sharing the hard-earned lessons of his career through his 2026 book, Earned: The True Cost of Greatness from One of Hockey’s Fiercest Competitors.Connect with Chris Pronger: https://www.linkedin.com/in/chrisprongerBuy Earned: https://www.amazon.com/Earned-Greatness-Hockeys-Fiercest-CompetitorsConnect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

In this episode of Tank Talks, host Matt Cohen sits down with Keegan McCallum, co-founder and CEO of uRUN, an inference provider built for persistent, steerable, interactive AI experiences. Keegan’s path took him from jailbreaking iPods in Thunder Bay, Ontario, to building the infrastructure that powered Luma AI’s viral Dream Machine launch, scaling from 500 to 9,000 H100s in six hours to process over half a million videos.They break down why the industry is wrong to shoehorn interactive AI into old request-response systems and why the future belongs to persistent, stateful, real-time experiences. Keegan explains the technical differences between LLMs and video models, why infrastructure is the biggest bottleneck for the next wave of AI, and what it takes to recruit top engineering talent.He also shares hard-won lessons on selling to developers, the Canadian AI talent landscape, and his bold, contrary views on the AI supply chain. From avatars and steerable video to coding agents generating 1,000 tokens per second, this episode is packed with frontline insights.Whether you are a founder building in AI, an infrastructure engineer, or simply curious about where human-computer interaction is headed, Keegan delivers a clear-eyed look at the future of interactive AI.–A big thanks to our sponsor, Moomoo CanadaThis is the kind of tooling that used to live on a Bloomberg terminal, but now it is on your phone, just a few taps away. They offer real-time data, full options chains, and an AI assistant that actually explains trading strategies.Moomoo is the perfect place for people who want to take their money seriously. Open an account today at moomoo.caThe Luma AI Experience: From 500 to 9,000 H100s (04:18)* Joining Luma after building an early LLM infrastructure startup* The Sora demo and the pitch to build and release a competing video model* Building the inference infrastructure for Luma’s launch* Scaling from roughly 500 to 9,000 H100s in six hours as Dream Machine went viralWhat a Viral AI Launch Actually Looks Like (06:03)* The request queue hitting 100,000 during the Dream Machine launch* Processing half a million videos in 12 hours and reaching one million users in four days* Why having a queue protected the user experience during the surge* Building infrastructure that could run across raw VMs, Slurm, Kubernetes, and different GPU providers* Why founders need to plan for success before the product takes offWhy AI Production Infrastructure Is Being Left Behind (10:50)* The tension between training the next model and supporting production workloads* Why infrastructure teams can lose talent to model research* The opportunity Keegan saw in building a dedicated ML infrastructure team* Creating infrastructure that model labs across different modalities can use instead of rebuilding it themselvesWhy Video AI Needs a Different Infrastructure Stack (12:32)* The limitations of moving media through traditional object storage* The latency problems that make real-time previews and interaction difficult* Streaming audio, video, images, and text as continuous inputs and outputs* uRUN’s focus on making persistent, interactive AI experiences easier to build* Moving AI from something you message toward something that feels present with youThe Shift Toward Omnimodal and Interactive AI (19:01)* What Keegan learned working closely with Luma’s research team* Why understanding the research direction matters when building infrastructure* The move toward AI that can understand vision, audio, language, reasoning, and sensor data* How AI has evolved from single prompts to conversations, agents, and interactive systems* Why highly interactive, real-time AI experiences could become the next major interfaceSmall Models, Specialized AI, and the Future of Inference (26:31)* Keegan’s previous startup thesis around smaller models and delegated inference* Why continual learning remains a difficult problem* Running capable smaller models locally and knowing when to delegate to larger models* Why enterprises may increasingly want differentiated models running in-house* The potential shift toward using large models for the hardest problems rather than every taskWhere uRUN Is Seeing Early Demand (30:38)* AI avatars for customer support and sales* Steerable video generation that lets users intervene while content is being created* Video transformation for creators, avatars, and live experiences* Real-time visual effects for music festivals and live events* Why world models could eventually have applications in open-world gamingThe Infrastructure Problem Holding Back World Models (00:32:54)* Companies developing world models without the infrastructure to serve them* Why scaling world models remains difficult* The enormous context requirements involved in tracking everything happening in a simulated environment* The need for distributed infrastructure as these models become more capableBuilding a Team Around Hard Problems (35:18)* Finding engineers with deep experience in infrastructure and low-latency inference* Bringing together expertise from New Relic, AWS, Superorbital, and other infrastructure environments* Why Keegan looks for engineers who can work across multiple areas* Building a small team of high-leverage people instead of optimizing for headcountThe Trait Keegan Looks for in Exceptional Engineers (37:47)* Why culture and quality matter more than quantity* Looking for people who take ownership and solve problems without waiting for instructions* The importance of urgency and experience operating under pressure* Why hard problems can attract customers, investors, and exceptional talent* Hiring people who can wear multiple hats and produce at a high levelBuilding AI Companies in Canada (41:29)* Why Keegan keeps finding Canadians throughout Silicon Valley* The advantages of building a strong team in Canada at a lower cost* Government funding and the opportunity to build ambitious companies with smaller teams* The challenge of Canadian companies and talent being pulled toward Silicon Valley* Why Canada needs more ways for companies to grow instead of selling earlySelling Infrastructure to Developers (44:23)* Why developers want to try the product rather than hear a list of performance claims* Giving technical users something they can get their hands on and test* Why open-source surfaces can help developers understand how a product works* Documentation and developer experience as a core part of selling infrastructure* Why developers have a very high tolerance bar for technical errorsThe Infrastructure Shift Coming Next (46:43)* Why persistent streaming infrastructure could become standard* Moving away from request-response systems toward long-running streams* The importance of maintaining state across continuous interactions* Potential applications in real-time video, virtual try-on, image editing, and coding agents* The infrastructure required for AI systems that can generate and respond almost instantlyAbout Keegan McCallumKeegan McCallum is the co-founder and CEO of uRUN, an inference provider built to handle persistent, steerable, and interactive AI experiences. A self-taught engineer who started by jailbreaking iPods in Thunder Bay, Keegan has built a career on tackling the hardest infrastructure problems in Canada. He has held leadership roles at Colony Networks and served as the Head of Engineering at Luma AI, where he led the infrastructure team that scaled the viral Dream Machine launch from 500 to 9,000 GPUs in a single day. His deep technical expertise spans ML infrastructure, cloud-native systems, and low-latency edge computing.Connect with Keegan McCallum on LinkedIn: https://www.linkedin.com/in/keeganmccallum3?originalSubdomain=caVisit uRUN’s website: https://urun.sh/Connect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

Canada is back at the negotiating table with the U.S., looking for relief from tariffs on autos, steel, aluminum, forestry, and other goods. Matt Cohen and John Ruffolo break down the latest developments, including the possibility of a revived Keystone XL project and the concessions Canada may have to make to get a deal across the line.But John’s bigger concern is what Canada could give up in the process. He argues that digital services and technology are becoming the new economic battleground, and Canada risks protecting traditional industries while giving away ground in the sectors that could drive future growth. Matt and John also question why Canada is negotiating from a fragmented position while the U.S. approaches the talks as a unified front.The episode delves into Ontario’s new rules for AI data centers, the growing debate over who should pay for the massive infrastructure needed to power AI, and Anthropic’s unusual founder-control structure ahead of a potential IPO. Matt and John also look at Stripe’s decision to remain private while making a major AI acquisition, Clearco’s unexpected comeback after securing new financing, and why Canada may be falling behind the U.S. on blockchain despite having some of the strongest talent in the space.If you want a sharper read on where the U.S.-Canada trade, AI infrastructure, and digital sovereignty are heading next, this episode is a must-listen.–A big thanks to our sponsor, Moomoo CanadaThis is the kind of tooling that used to live on a Bloomberg terminal, but now it is on your phone, just a few taps away. They offer real-time data, full options chains, and an AI assistant that actually explains trading strategies.Moomoo is the perfect place for people who want to take their money seriously. Open an account today at moomoo.caCanada’s Trade Gamble (03:05)John warns Canada may trade digital sovereignty for short-term wins on oil and agriculture, calling it “solidifying the past and giving up the future.” He explains how U.S. statecraft has cleverly undermined Canada’s domestic tech industry through data and content restrictions.Ontario’s AI Data Center Crackdown (08:54)Ontario rolls out new rules forcing AI data centers to pay higher electricity rates and cover infrastructure costs. John says the move was inevitable and raises legitimate questions about whether AI’s benefits will be widely shared.Anthropic’s Super-Voting Share Plan (12:52)Anthropic plans super-voting shares and a trust to insulate its founders, who own only about 2% each, ahead of a potential $2 trillion IPO. John calls it bad governance but admits the public likely won’t care given the company’s explosive growth.Stripe Stays Private and Buys Big (17:24)Stripe acquires OpenRouter for $8 billion in stock while staying private, with revenues up 41% and free cash flow rising 43%. John asks why they’d ever go public if secondary markets provide liquidity and they can avoid quarterly scrutiny.Clearco’s Comeback (19:48)Clearco secures a $100 million Macquarie facility, cutting its cost of capital by 50% in a stunning turnaround. The chairman describes it as rebuilding an airplane mid-flight, and they’ve pulled it off.Is Canada Losing the Blockchain Race? (20:56)With U.S. crypto rules advancing and Canada stalled since the Stablecoin Act, John warns the real opportunity is in unified ledgers, not currencies. He notes Canada’s best blockchain talent is building for American companies, not Canadian ones.Connect with John Ruffolo on LinkedIn: https://ca.linkedin.com/in/joruffoloConnect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com