Advertise on podcast: The Fintech Blueprint

In this episode, Lex chats with Simon Taylor, who heads up market development at Tempo, the payments-native blockchain built by Stripe as a high-performance settlement layer for stablecoins and tokenized money. Simon is also the founder of Fintech Brain Food, one of the sector's most widely read newsletters. They discuss why there is no Fedwire for the internet, and why the next wave of on-chain volume is coming from enterprise money movers like Deel rather than crypto-native builders. Simon explains why tokenized deposits, stablecoins and TradFi settlement will converge on a single chain, why agentic commerce is still stuck in its WAP-phone era, and how the Machine Payments Protocol is being designed as an IETF-grade standard that can settle across Tempo, Stripe or any card network. NOTABLE DISCUSSION POINTS: The AI productivity gap is an operating-model gap, not a tooling gap. MIT found nine in ten companies get zero productivity gain from AI, while Ramp’s own data shows the heaviest users generate 2x higher revenue on 40% less capital. What separates them is four ingredients: AI evals as a cultural default, a shared library of skills (Ramp has 350+), non-engineers shipping production code (12% of Ramp’s human-initiated PRs), and treating AI fluency as the primary staff learning curve.Agentic commerce is in its WAP-phone era. Nobody is actually paying for things with agents at any scale - Walmart’s ChatGPT checkout converts worse than its dotcom, Target has told customers they are 100% liable for anything an agent buys, and Walmart and Amazon block third-party agents outright as fraud. The real volume is in B2B finance teams automating PDF-invoice-to-payment flows through Ramp and Brex, which is where Machine Payments Protocol and x402 will first find product-market fit.On-chain cash settlement is less than 0.1% done, and Tempo is being positioned as the missing Fedwire for the internet. The pitch is not a new L1 competing on TPS benchmarks - it is a settlement layer designed by payments veterans who understand that payments are all edge cases, with permissionless issuance combined with opt-in receive policies (TIP-20 upgrades on ERC-20, block/allow lists, embedded compliance) that let enterprises finally clear their RFP checklist.TOPICS Fintech, Stablecoins, Tokenization, DigitalAssets, Payments, Settlement, RWA, DeFi, TradFi, CapitalMarkets, AgenticCommerce, AgenticPayments, AIAgents, MachinePayments, Ethereum, Canton, Blockchain, Web3, Tempo, Stripe, Anthropic, Ramp, Brex, Deel   ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin   TIMESTAMPS 0’57: How do you ground-truth the digital world: Why AI ultimately runs on a digital asset substrate5’46: The two-speed transformation: Why customer-facing tech is competitive and back-end plumbing is industry-led9’47: Limit the blast radius: How JPMorgan, HSBC and Citi turned tokenized deposits into a client retention play14’46: Finance is globalised, not global: Why Stripe built its own chain instead of stitching together every other one18’21: There is no Fedwire for the internet: The missing global settlement layer Tempo is built for21’18: On-chain cash settlement is less than 0.1% done: Why Tempo is where stablecoins and tokenized deposits converge26’20: The WAP-phone era of agentic commerce: Why nobody is actually paying with agents yet33’07: Everyone is your frenemy: Why Stripe and Coinbase both showed up to the agentic payments market36’44: 9 in 10 companies get zero AI productivity gain: What separates the enterprises that don't43’54: Harnesses and model routers: Where the durable value sits in the enterprise AI stack46’05: The channels used to connect with Simon & learn more about Tempo & Fintech Brain food Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD. Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella Want to discuss? Stop by our Discord and reach out here with questions.

In this episode, Lex chats with Edward Woodford — Founder and CEO of zerohash, a crypto and stablecoin infrastructure platform that lets banks, brokers, and fintechs embed digital-asset trading, payments, and tokenization through a single API. Four years on from their last conversation, zerohash has settled over $65 billion in volume across 7 million customers, gone global under MiCA and EMI licensing in Europe, and onboarded institutions like Morgan Stanley. They discuss the pivot from embedded crypto to pure-play B2B infrastructure, and why the product zerohash actually sells is trust — with licensing treated as a bar, not a goal — in a world where state actors are now the primary threat. Edward breaks down the three core rails (Trade, Transact at roughly 70% of revenue, and Tokenization), and unpacks the emergence of "on-chain money" as a legally fragmented category — stablecoins under GENIUS, tokenized deposits, tokenized money-market funds, and CBDCs, each a distinct form of dollar created inside twelve months. They explore how velocity of money and just-in-time funding reshape SME payroll, why the new Auth product aims to be the open banking of stablecoins, and where the industry sits on an S-curve Edward insists is still nowhere near maturity. Finally, they take a skeptical pass at the machine economy, landing on agent-to-knowledge payment — not consumer micropayments — as the durable intersection of stablecoins and AI, and on the convergence that will pull traditional and crypto-native payment firms into aggressive consolidation. We recorded the podcast earlier in the year, and everything that Edward teased in his conversation has come to market. The E-Trade integration is live. The staking infrastructure has launched. The Treasury published the first proposed rules under the Genius Act, so you can see how those predictions came to market. Also, Stripe and Visa answered his M&A predictions with something even bigger: 140 Company Stablecoin Consortium. NOTABLE DISCUSSION POINTS: Trust is the product; licensing is just table stakes. Edward’s sharpest framing is that “licensing is a bar, not the goal” - getting licensed actually opens you to new risks to manage at scale. For an FI like Morgan Stanley, whose crypto revenue is trivial next to tens of billions in quarterly profit, the deciding factor isn’t upside but de-risked entry: FIPS/government-grade compliance, an eight-year clean track record, and a threat model that now treats state actors as the primary adversary.“On-chain money” has fractured into distinct legal categories in under a year. Post-GENIUS and MiCA, stablecoins (backed 100% by short-term government debt) are now legally separate from tokenized bank deposits (e.g. JPMorgan), tokenized money-market funds, and CBDCs - each a different form of dollar. Edward predicts this taxonomy keeps multiplying, and treats the resulting complexity, including cross-chain stablecoin interoperability, as a widening moat rather than a nuisance.The real AI-stablecoin use case is agent-to-knowledge payment, not micropayments. Edward pushes back on the popular “sub-penny real-time micropayments” narrative - invoking iTunes, where payments got batched rather than charged per song. The durable edge, he argues, is a globally programmable rail where an agent in Mozambique can settle with a content creator in Brazil, with knowledge released on a DvP basis as payment clears. Sub-penny amounts get aggregated into daily or weekly batches.TOPICS Stablecoins, EmbeddedFinance, Tokenization, DigitalAssets, Payments, GENIUSAct, MiCA, AgenticPayments, DeFi, RWA, Web3, Fintech, zerohash, MorganStanley, Gusto, Stripe, Circle, Tether, Plaid, Mastercard   ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin   TIMESTAMPS 2’54: From 5% of Ethereum to $65 billion settled: four years of scaling without trading off trust6’19: The everything app comes full circle: from embedded crypto to one infrastructure engine11’29: Interoperability as the value prop: bridging USDC across ETH, Polygon, and Canton16’06: Build, buy, or rent: how zerohash wins the decision inside a firm with billions in profit18’47: Stablecoins are good, crypto is bad: the market's false divide and why zerohash rejects it26’18: Auth, the open banking of stablecoins: killing the two questions that break usability29’55: The next 24 months of consolidation: will Circle, Tether, and zerohash buy the traditional players?37’22: The Fortune 500 is barely penetrated: what usability and distribution unlock next41’10: Agent-to-knowledge transfer: the real intersection of stablecoins and AI, beyond the sneaker purchase46’41: The channels used to connect with Edward & learn more about zerohash Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD. Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella Want to discuss? Stop by our Discord and reach out here with questions.

In this episode, Lex chats with Srini Krish — Co-Head of Financial Solutions at Fiserv, one of the original fintechs, in business for nearly five decades and sitting at the intersection of commerce and banking. Lex and Srini discuss how Fiserv acts as the technology backbone for 5,000+ US banks and credit unions that lack the wherewithal to match JPMorgan or Wells Fargo on their own, and how the firm is packaging AI into that distribution layer through Agent OS and partnerships with OpenAI and Anthropic. Srini lays out his four-bucket framework for enterprise AI - better client service, internal productivity, AI embedded in products, and a platform banks can use to build their own agents - and explains why money demands deterministic outcomes rather than probabilistic guesses, keeping a human in the middle as commercial loan underwriting compresses from weeks to hours. They explore the competitive race against challengers like Mercury and Ramp, the mainframe that has outlived thirty years of obituaries, and where power sits between the AI labs and their distribution channels once inference commoditizes. NOTABLE DISCUSSION POINTS: MIPS became tokens. Srini frames the whole AI shift through continuity: engineers once measured effectiveness by MIPS consumed and how often they compiled code; today the metric is token consumption. Same discipline of doing more with minimal resource, thirty years apart. Money forces determinism. Probabilistic outputs are fine for many tasks but unacceptable for balances - a figure 1% or 5% off is a failure, it has to be right every time. So Fiserv’s Agent OS rollout starts with non-real-time, human-in-the-middle use cases and only graduates toward autonomy and eventually customer-built agents. It’s a crawl-walk-run path, and Fiserv says it’s clearly still crawling. The moat is distribution, not model access. Fiserv’s 5,000+ banks and credit unions can’t engage OpenAI or Anthropic directly at scale, so Fiserv becomes the platform that packages agentic workflows - turning commercial loan decisions from a multi-week process into hours, with the auditability and observability those institutions could never build alone. TOPICS Fintech, Fiserv, EmbeddedFinance, AgenticAI, EnterpriseAI, Banking, Payments, DigitalBanking, CommunityBanks, FinancialInfrastructure, AIAgents, OpenAI, Anthropic, ClaudeCode, JPMorganChase, FirstData, Mercury, Ramp, Plaid   ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin   TIMESTAMPS 1’12: Fintech Before It Was Fashionable: Five Decades at the Intersection of Commerce and Banking 6’13: Access, Move, Trust: What Actually Defines a Fintech Across Three Decades 10’28: A Loan at the Mechanic's Shop: How Embedded Finance Widened the Market and the Money Behind It 13’22: Four Buckets for Enterprise AI: Where Agent OS and the OpenAI Partnership Actually Fit 20’47: Not Savviness but Wherewithal: Why 5,000 Institutions Can't Build JPMorgan's Stack Alone 25’39: Mercury, Ramp, and the Mainframe That Never Died: Why the Incumbents Aren't Going Anywhere 29’51: Both Labs, All Three Clouds: Why the Distribution Channel Sits in the Middle 33’16: The Engineer Who Stops Writing Code: Why Replacement and Expansion Can Both Be True 36’50: It Has to Be 100% Correct Every Time: Why Money Demands Deterministic AI Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD. Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella Want to discuss? Stop by our Discord and reach out here with questions.

In this episode, Lex chats with Jeff Grimes — who is Head of Live Events Products at Perplexity, the AI company that has evolved from an "answer engine" into an "agent platform" built around Perplexity Computer, its multi-agent digital worker. They discuss how Perplexity has shifted financial research from the how to the what, letting a user describe an outcome in a single sentence while Computer orchestrates 20+ frontier models, direct tool calls to licensed live data, and finance-specific skills to produce the artifact. Jeff explains the enterprise strategy behind traceability - the north star that 100% of every quantitative figure traces back to its source filing - alongside bring-your-own-license connections via MCP and the consumer "personal CFO" vision powered by Plaid. They explore what 5x revenue growth on a 34% headcount increase signals for finance jobs, and why the future looks like a 24/7 family office that proactively surfaces and, with permission, executes financial actions for everyone. NOTABLE DISCUSSION POINTS: The “how to what” collapse is the real product thesis, not just better models. The shift to zero-shot rests on three stacked unlocks: direct tool calls to licensed live data (Quartr for earnings transcripts, unusual whales for insider and political holdings, SEC filings for historicals) instead of relying on web freshness; a thinking-model router that orchestrates 20+ frontier models in parallel, matching the model to the job (a heavy thinking model for macro analysis, a lighter one for ticker-matching 550 names); and ~20 opinionated finance skills (DCF, three-statement, LBO, comps) tuned through expert-led evals. Together they turn one sentence into a polished equity-research artifact. Traceability is the enterprise wedge, framed as “don’t trust and verify.” The stated north star is that 100% of every number in any output is hover-traceable back to the source filing - pre-scrolled to the page, highlighted, with the full chain of calculations exposed. The framing inverts the usual “trust but verify”: assume the user won’t trust the model, so trust must be earned per number. Paired with bring-your-own-license via MCP (FactSet, LSEG, Morningstar, CarbonArc, PitchBook), this is the concrete answer to why regulated institutions get comfortable adopting. The productivity and jobs signal is quantified and lived internally. Perplexity grew annual run rate 5x while increasing headcount only ~34%. Computer began as a company-wide Slack bot where every request was visible to all employees; Jeff now runs 9–10 scheduled cron jobs each morning and says essentially all code is written first by his agents. On the consumer side, the emergent pattern is build-your-own long-tail apps that no roadmap-bound product could serve - a DraftKings-addiction accountability system that emails a user’s spouse on any bet, or a GitHub-style heatmap of daily spending - which is the real substance of the personal-CFO bet. TOPICS Perplexity, Perplexity Computer, Perplexity AI, Google, Shadebot, Plaid, Yodlee, Claude, ChatGPT, AI, Artificial Intelligence, LLM, CFO, financial services, AI commerce   ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin   TIMESTAMPS 1’05: A company built on failed founders: Why the startup that didn't work out led here 5’10: A playing card company that became Nintendo: How curiosity carried Perplexity from answers to actions 9’52: We're basically at zero shot now: Why prompt engineering is disappearing from finance work 15’21: A thinking model that routes the job: How Perplexity picks Claude Opus for macro and Grok for tickers 20’12: Two tracks, one engine: Building for enterprise workflows and a personal CFO at once 25’25: Bring your own license, or use ours: How Perplexity gets institutions comfortable enough to adopt 32’54: 5x revenue on 34% more headcount: The productivity gain Perplexity lived firsthand 37’28: Connect everything from your mortgage to the painting on your wall: Building the true personal CFO 45’15: A family office that works 24/7 for everyone: The proactive, automated future of the personal CFO 48’01: The channels used to connect with Jeff & learn more about Perplexity Computer Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD. Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella Want to discuss? Stop by our Discord and reach out here with questions.

In this episode, Lex chats with Cactus Raazi — CEO Americas at B2C2, one of the original and largest institutional market makers in digital assets, serving roughly 1,500 institutions and pricing across more than 40 exchanges globally. They discuss what a market maker actually does, how balance sheet and signal generation underpin roughly $1 billion a day of stablecoin flow at B2C2, and why the two extremes of crypto market making - riskless principal aggregation versus proprietary alpha - produce very different client outcomes that buyers rarely understand. Cactus explains B2C2's 18-month bet that the Circle-versus-Tether debate would give way to a multi-issuer world, the launch of its PENNY product for instant zero-cost cross-stablecoin swaps, and they explore why programmability is the next frontier for digital dollars, why US capital markets have almost no structure for funding genuine risk-taking businesses, and whether the current combination of scale, speed, and complexity makes this the hardest investing environment Wall Street has ever faced. NOTABLE DISCUSSION POINTS: Market makers aren’t a homogeneous category, and clients pay for the difference. At one extreme, a market maker is essentially a riskless agent - aggregating prices across 40+ exchanges and quoting on top with no real view. At the other extreme, a market maker is a proprietary quant shop running alpha signals on horizons from seconds to days, and the price you get is heavily conditioned by where the signal says the asset is going. B2C2 sits in the middle, partly because its public-company parent (SBI) constrains risk appetite. The implication for institutional buyers: who you trade with structurally determines the quality of execution, not just the spread. Algorithmic fixed income market making didn’t fail on technology, it failed on capital structure. US capital markets are excellent at funding venture, growth equity, private equity, and buyouts, but there is almost no domestic pool of “risk equity” - capital comfortable with the possibility that the machines (or the humans) lose money on a given day. Market makers need exactly that kind of balance sheet, and the mismatch between what the business requires and what the US capital base offers is a structural reason firms like Elefant struggled, regardless of execution quality. The Circle-vs-Tether framing is already obsolete; the next product wedge is interoperability. B2C2 made an 18-month-old contrarian bet that the duopoly narrative was wrong and that Stripe (via Bridge), Western Union, Revolut, and many other consumer and platform companies would issue their own stablecoins. PENNY - instant, zero-cost, zero-counterparty-risk stablecoin-to-stablecoin swaps - is the product expression of that view. The deeper claim is that stablecoins are software, and the SaaS analogy (a base layer plus an app store of programmable financial logic) is the real reason institutional adoption accelerates from here, not the transfer-of-value benefit on its own. TOPICS B2C2, Goldman Sachs, SBI Group, Binance, Coinbase, Circle, Tether, Stripe, Kraken, Credit Suisse, Market making, institutional liquidity, stablecoins, fixed income, risk management, algorithmic trading, crypto exchange infrastructure   ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin   TIMESTAMPS 1’17: Rejected by 30 firms: A cold-call advertising inquiry that became a Goldman career 6’43: "I'll go sell jet engines": Complexity as the through line from credit derivatives to crypto 8’53: Scale, speed, and dimensionality: The hardest investing environment in 28 years 12’33: A terrific idea, a brutal execution: Building an automated market maker in 2015 16’22: The used car dealership of bonds: How over-the-counter fixed income actually works 19’51: Price, time frame, and the art of liquidity: What a market maker actually does 24’52: Riskless principal or proprietary alpha: The two extremes of crypto market making 29’54: Priming the liquidity pump: Why new tokens hire market makers and large ones don't 35’40: $1 billion a day in stablecoins: A contrarian bet against the Circle-versus-Tether frame 39’43: 24/7 money movement: The treasurer wish list stablecoins actually deliver 41’04: The channels used to connect with Cactus & learn more about B2C2 Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD. Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella Want to discuss? Stop by our Discord and reach out here with questions.

In this episode, Lex chats with Mike Milotich — Chief Executive Officer of Marqeta, the modern card issuing platform that processed nearly $400 billion in payments volume in 2025, and is certified to operate in 40+ countries, growing over 30% for the third straight year. They discuss how Marqeta's separation of bank, processor, and brand armed fintech's largest winners across buy now pay later, on-demand delivery, neo-banking, and expense management with the Lego blocks to build their own card programs.  Mike explains how the company's growth is shifting from enabling new use cases to displacing volume on legacy bank platforms, and they explore why card issuing is going multinational, what the agentic commerce wave actually requires to clear security and behavioural hurdles, and how Marqeta's continued growth runs through embedded finance, real-time personalisation, and the forced modernisation of the banks themselves. NOTABLE DISCUSSION POINTS: The BNPL business model is flipping from merchant rails to consumer cards. Marqeta originally solved the merchant scale problem for buy now pay later via virtual cards, removing the need for tens of millions of merchants to integrate a new button at checkout. The current shift is more important: BNPL players are now issuing consumers their own physical and virtual cards usable anywhere cards are accepted, turning BNPL from a merchant-acceptance game into a direct consumer value proposition. BNPL volume has grown over 50% year-on-year for Marqeta in recent quarters. Card issuing is going multinational, and that breaks the legacy bank model. Banks have always been local on the consumer side, with only a handful multinational on the commercial treasury side. The next generation of card issuers, neo-banks like Revolut and Nubank, plus large global platforms embedding financial products into existing user bases, are global by default. A single platform that issues cards, and is certified to operate across 40+ countries, becomes the strategic moat, and legacy processors built to serve domestic bank programs aren’t structured to compete. The growth story is moving from expanding the pie to displacing the incumbents. To date, Marqeta has mostly powered new card use cases that didn’t exist before — on-demand delivery, BNPL, neo-banking, expense management. Mike’s forward thesis is a phase change: pressure from fintech winners is forcing banks to modernise, and the next leg of growth comes from displacing volume sitting on legacy bank-controlled platforms. Real-time personalised rewards, where the same card delivers different offers to different cardholders based on live data, is the wedge that legacy infrastructure can’t deliver. TOPICS Marqeta, Visa, Mastercard, American Express, PayPal, Payments, card issuing, embedded finance, fintech, BNPL, neobank, agentic commerce, e-commerce, crypto, stablecoins, programmable money, machine economy, agentic AI   ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin   TIMESTAMPS 1’04: From Math Brain to Payments Career : Finding the Nuance in How Money Actually Moves 7’05: The Narrative Gets Ahead of Reality : Why Agentic Commerce Will Move Slower Than the Technologists Think 10’08: Global But Local : The Balancing Act That Kept Visa on Top of the Payments Network for Decades 12’58: Carve It Out or Watch It Get Trampled : How Visa Incubates Mobile, Crypto and Agentic Without Killing Them 15’03: $400 Billion in Volume, 30% Growth, Three Years Running : The Numbers Behind Marqeta's Compounding Scale 17’05: The Pandemic Poured Gasoline on Everything : Why DoorDash, BNPL, Expense and Neo-Banking All Exploded at Once 24’24: The Lego Blocks for Payments : How Marqeta Armed the Innovators Who Couldn't Build Through Banks 29’19: Visibility as a Weapon : Why Being Public Helps Marqeta Win Customers Against Private and Embedded Competitors 33’15: Fewer Bets, Higher Probability : How Public Market Discipline Reshaped Marqeta's Risk and Profitability Model 36’35: The Legacy Platforms Were Built for Banks : Why Embedded Finance, Multinational Card Issuing and Personalisation Reshape the Pie 41’50: Prompted, Not Replaced : The Ten-Year View on Whether Volume Comes From People or Robots 43’56: The channels used to connect with Mike & learn more about Marqeta Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD. Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella Want to discuss? Stop by our Discord and reach out here with questions.

In this episode, Lex chats with Evan Malanga — Chief Revenue Officer of Yuma, a subsidiary of Digital Currency Group focused on growing the Bittensor ecosystem. They discuss how Bittensor's $6 billion protocol incentivises AI builders worldwide through token emissions across 128 competing subnets, and why the network has produced real commercial outputs — including a 72 billion parameter model trained on-chain and a coding agent rivalling Claude at a fraction of the cost. Evan explains Yuma's role as the institutional gateway to Bittensor through its validator, accelerator, and asset management products, and they explore why the concentration of AI in OpenAI and Anthropic is a systemic risk, and whether Bittensor's future extends beyond AI into a broader coordination engine for decentralised work. NOTABLE DISCUSSION POINTS: Bittensor has crossed from experimentation into shipping benchmark-competitive work at a fraction of centralized cost. Three recent proof points: Templar (subnet 3) completed the largest decentralized pre-training run of a 72B parameter model using only the network’s token incentives. Ridges, an AI agent platform, is hitting 88–90% on software engineering benchmarks, on par with Claude-class agents at ~5x cheaper, built by a 3-to-5-person team under $10M of token emissions. Score (subnet 44) is doing computer vision 200x faster than centralized counterparts. Small distributed teams are producing outputs competitive with frontier labs without raising venture capital or hiring staff. Dynamic TAO restructured emissions from validator-curated to market-curated, making each subnet its own tradeable asset. Previously, dominant validators assigned weights that determined how the 7,200 daily TAO emission flowed across subnets. Under Dynamic TAO, each of the 128 subnets has its own token denominated in TAO, and any holder can buy or sell into specific subnets, pricing them like a market rather than a committee vote. Subnet owners, miners, and validators earn fees in the respective subnet token. Distribution has settled into a power law: the top ten subnets hold ~80% of market cap. This is the move that turned Bittensor from “decentralized AI protocol” into a financial hyperstructure with hundreds of tokenized work markets layered on top. The economics for subnet owners are genuinely unusual — hundreds of millions in annual incentives, fully subsidized labor, no fundraising. A subnet owner gets access to up to ~256 miners globally competing to satisfy their problem statement, with miner compensation paid by protocol emissions rather than the subnet owner. At current TAO prices, annual incentives across the network run into hundreds of millions; at higher prices, this approaches $1B/year up for grabs. No hiring, no benefits, no recruiting, the network runs as a continuous adversarial competition where validators rank miner outputs. This is the mechanical answer to “why would an AI researcher choose Bittensor over Silicon Valley”, and explains why researchers at Meta and Google reportedly mine Bittensor on nights and weekends, with top miners on subnets like Ridges earning ~$30,000/day. TOPICS Yuma, Bittensor, Digital Currency Group, DCG, OpenAI, Anthropic, Foundry, Templar, Ridges, Bitcoin, Meta, Google, BlackRock, JPMorgan, Decentralized AI, Crypto, Blockchain, AI, Tokenomics, Decentralized Science, DeSci, AI Agents, Computer Vision, Proof of Work, Tokenization, Real World Assets, RWA, Machine Economy   ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin   TIMESTAMPS 1’09: The World Wide Web of Intelligence : How Bittensor Turns AI Into Open Competition 9’48: Decentralized AI or Financial Hyperstructure : Unpacking Bittensor's Tokenomics and the Shift to Dynamic TAO 15’04: 256 Miners, Zero Payroll : How Bittensor Subsidizes the Labor Behind Every Subnet 18’03: The Olympics of AI : How Subnet Competitions Replace Bitcoin's Proof of Work 20’09: The Grayscale Playbook for Bittensor : How Yuma Is Building the Institutional On-Ramp 23’19: AI Is the Wedge, Not the Ceiling : Bittensor's 3-to-5-Year Path to Coordinating All Work 28’03: Right but Early : Why the Vision for Decentralized AI May Take 15 Years to Realize 30’52: Decentralized Science as the Next Wedge : Why DeSci Could Be Bittensor's Most Underrated Use Case 34’10: $30,000/Day Mining on Nights and Weekends : Why Meta and Google Researchers Are Quietly on Bittensor 35’56: The channels used to connect with Evan & learn more about Yuma and Bittensor Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD. Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella Want to discuss? Stop by our Discord and reach out here with questions.

In this episode, Lex chats with Immad Akhund, CEO and founder of Mercury, a leading neobank for businesses. Immad shares his entrepreneurial journey, explaining how frustrating banking experiences inspired Mercury's creation. They discuss Banking as a Service, open banking, embedded finance, and core banking systems. Immad details Mercury's product philosophy, team structure, and migration away from Synapse before its collapse. He also outlines Mercury's impressive growth, with 300,000 customers, $650M in annual revenue, and three years of profitability. The conversation concludes with Mercury's future plans, including lending expansion, a bank charter application, and hopes for smarter AI-driven regulatory compliance. NOTABLE DISCUSSION POINTS: Banking-as-a-Service Has Been Completely Restructured - and the Original Model Is Dead: The fintech BaaS layer that enabled the 2019–2021 neobank boom - middleware providers like Synapse, Unit, and Bond sitting between fintechs and partner banks - has effectively collapsed. The replacement model is banks themselves exposing modern APIs directly, with Column Bank and Lead Bank emerging as the new infrastructure layer. Mercury navigated this shift early, moving entirely off Synapse months before its April 2024 failure, but the broader lesson is that the hundred-program BaaS model broke under the weight of compliance and reconciliation complexity. Mercury’s 40% Startup Market Share Is Just the Entry Point to a $2 Trillion Opportunity: Mercury captures over 35% of early-stage US startups, but broader SMB banking represents 30% of all banking revenue - a $2 trillion market. The company is now expanding into personal banking (launched December 2025), lending (bank charter application filed), and subscription software. Akhund frames Mercury not as a bank but as a financial operating system - the “Google suite of banking” - where deposits are the entry point to invoicing, bill pay, spend management, and eventually underwriting. Stablecoins Don’t Magically Solve the Ledger Problem: Akhund pushes back on the narrative that stablecoins eliminate reconciliation risk. In practice, most stablecoin providers pool customer funds into shared wallets and run their own abstraction layers and internal ledgers - recreating the same reconciliation challenges that exist in traditional banking. The benefit only holds in the narrow case where users truly own their own keys and wallets, which is rarely how scaled fintech products operate. TOPICS Mercury, Synapse, Chase, Evolve Bank, Column Bank, Stripe, Plaid, Coinbase, neobank, neobanking, banking-as-a-service, BAAS, fintech, fintech regulation, reconciliation, product development, stablecoins, API, blockchain, VCs, embedded finance   ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin   TIMESTAMPS 1’05: Signing up for six bank accounts and asking for an API nobody understood : how the idea for Mercury was born 4’57: Why depository banking was fintech's last untouched frontier : partner banks, BaaS, and the gap Mercury filled 6’54: BaaS, open banking, embedded finance, and banking cores : a plain-English breakdown of fintech's alphabet soup 13’50: Competing against Chase and Wells Fargo : why Mercury's best advantage is how bad banks still are 18’28: Checkbox banking versus handcrafted product : how Mercury built a unified experience that incumbents can't replicate 20’52: Autonomous product teams and customer-first engineering : how Mercury structures 300 people to ship like a startup 23’21: The right unit of speed : why Mercury bets on autonomy over coordination in product development 26’14: Navigating the Synapse collapse : how Mercury moved off early and reconciled every transaction 29’42: Stablecoins as the new embedded finance : why blockchain ledgers don't magically solve reconciliation 31’52: $650M in revenue and still just getting started : Mercury's vision for the Google suite of banking 35’04: Why profitability beats begging VCs : Mercury's business model and the case for financial independence 37’42: 40% of startups and a bank charter application : Mercury's roadmap inside a $2 trillion market 41’28: The path to a national bank charter : why AI will reshape compliance costs for fintechs 44’00: The channels used to connect with Immad & learn more about Mercury Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD. Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella Want to discuss? Stop by our Discord and reach out here with questions.

In this episode, Lex chats with Marc Boiron — CEO of Polygon Labs. Marc shares his journey from law to blockchain, discussing the challenges of navigating crypto’s evolving legal landscape and the complexities of structuring compliant DeFi projects. He explains Polygon’s strategic pivot to focus on stablecoin payments, leveraging its proven blockchain and global partnerships. Marc highlights Polygon’s real-world adoption, competitive edge, and vision to become the leading platform for on-chain payments. The episode offers insights into regulatory hurdles, industry trends, and Polygon’s mission to transform digital money movement. NOTABLE DISCUSSION POINTS: The Labs-Foundation Structure Is a Frankenstein - and Its Creator Knows It: Marc helped architect the legal frameworks behind major DeFi token launches but openly calls the outcome a “complete Frankenstein.” The arm’s-length separation between labs and foundations was necessary to survive regulatory hostility, but makes coherent execution nearly impossible. He argues projects still copying this structure today are doing so out of habit, not legal necessity. Generalist Blockchains Are Dead - Polygon Is Betting Everything on Payments: As chain architectures converge, Boiron believes differentiation through speed and low fees is over. Polygon analysed its actual usage, found stablecoin payments was the standout vertical - $2.3 trillion already moved, fintechs across LatAm, Africa, and Southeast Asia already on-chain - and went all-in. The thesis is binary: if all money moves on-chain within a decade, even the 50th-best payments chain wins big. Polygon’s Real Moat Is Enterprise Trust Built During the NFT Era: The 2022–23 enterprise NFT push looked like a dead end after FTX collapsed, but it left behind institutional due diligence and credibility. Fintechs evaluating payments chains find that Polygon has years of live production use, Fortune 500 relationships, and Stripe already defaulting to it - a trust advantage no newly launched chain can replicate. TOPICS Polygon Labs, Polygon protocol, blockchain, crypto, decentralized finance, DeFi, legal frameworks, token launches, meme coins, stablecoins, payments, fintech, Ethereum, ICO boom, web3, NFT, Stripe, Circle   ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin   TIMESTAMPS 1’09: From Spreadsheets to Smart Contracts: The Accidental Lawyer Who Found His Edge in Emerging Companies 4’40: Selling Your Soul for Low-Risk Capital: The Case For and Against the JD MBA 9’41: Fake It Till You Make It: How the ICO Craze of 2017 Turned One Niche Bet Into a Crypto Legal Career 13’01: Read the Actual Law: Why Memorizing the Securities Act Beat 20 Years of Legal Precedent in Crypto 18’19: The Crypto Legal Frankenstein: How Regulatory Survival, Not Business Logic, Built the Foundation-Labs-Token Structure 25’16: From Stockholm Syndrome to Meme Coin Mania: The Disorienting Cost of Crypto's Regulatory 180 30’05: The Dichotomy of Success: How Polygon's Most Celebrated Moment Was Secretly Its Most Broken 36’49: All Money on Chain: Why Polygon Is Betting Its Future on Becoming the World's Payments Blockchain 48’29: The channels used to connect with Marc & learn more about Polygon Labs Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD. Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella Want to discuss? Stop by our Discord and reach out here with questions.

In this episode, Lex chats with Alex Gluchowski — Cofounder and CEO of Matter Labs, about the transformative impact of zero-knowledge proofs (ZK proofs) on blockchain scalability and privacy. They discuss Matter Labs’ evolution, the development of zkSync, and how ZK proofs enable secure, private, and efficient blockchain transactions. The conversation explores enterprise adoption, regulatory shifts, and the potential for blockchain to revolutionize global finance by enabling privacy-preserving, interoperable networks anchored to Ethereum, ultimately highlighting the growing role of cryptography in advancing financial sovereignty and innovation. NOTABLE DISCUSSION POINTS: Incorruptibility is Blockchain’s Core Value—Not Consensus: Consensus mechanisms solve network liveness without central operators, but the guarantee that your assets can’t be spent without your permission comes from verification. Bitcoin’s “don’t trust, verify” mantra is literal: every node re-executes every transaction. Zero knowledge proofs achieve the same incorruptibility without requiring universal visibility—enabling both scale and privacy. The Regulatory Shift Has Unlocked an Entirely New Market: The post-Trump regulatory environment represents a “great divide” for crypto. Banks and enterprises that previously couldn’t engage are now actively piloting blockchain infrastructure. Matter Labs is working with Deutsche Bank, UBS, and 35+ global financial institutions through initiatives like Presidio Breakthrough. The focus has shifted from building systems to withstand regulatory hostility to integrating crypto into real business processes. Private Enterprise Chains Settling on Ethereum is the Institutional Path: Banks experimented with consortium blockchains (Hyperledger, Corda, R3) for years but failed due to privacy concerns—participants could see each other’s transactions. Zero knowledge proofs solve this by enabling private chains that interoperate trustlessly through Ethereum as a shared settlement layer. Each institution maintains sovereignty over its operations while gaining cryptographic guarantees when transacting with counterparties. TOPICS Matter Labs, zkSync, Ethereum, Consensys, Hyperledger, Arbitrum, Optimism, fintech, blockchain, zero-knowledge proofs, ZK proofs, privacy, institutional adoption, scalability, cryptography, interoperability   ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin   TIMESTAMPS 1’14: The Incorruptibility Problem: Why Zero Knowledge Proofs Are the Only Path to Private, Scalable Finance 5’19: From Soviet Ukraine to Zero Knowledge: How Hyperinflation and a Hunger for Freedom Built a Crypto Visionary 14’07: Freedom Has a Cost: Squaring Crypto's Libertarian Promise With a Decade of Market Abuse 17’11: The Post-Trump Paradigm Shift: Why Stablecoins Are the Shipping Container Moment for Global Finance 25’19: ZK Rollups Demystified: How a Few Kilobytes of Cryptographic Proof Inherit the Full Security of Ethereum 31’38: The Bank Stack of Ethereum: How Zero Knowledge Proofs Finally Solve the Problem Hyperledger and Corda Never Could 37’11: Ethereum as the World's Chronometer: Why Trustless Interoperability Lives or Dies Within a Single Settlement Layer 39’46: The channels used to connect with Alex & learn more about Matter Labs Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD. Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella Want to discuss? Stop by our Discord and reach out here with questions.

In this episode, Lex chats with Yoshi Yokokawa, CEO of Alpaca — a brokerage infrastructure company that provides API-based trading and custody services to fintechs and developers globally. The conversation begins with their shared experience at Lehman Brothers during the 2008 financial crisis, where Yoshi worked in fixed income securitization and learned that even when market participants sense a bubble, they keep dancing because timing the exit is impossible. After Lehman's collapse, Yoshi pursued entrepreneurship, building a computer vision AI company acquired by Kyocera before founding Alpaca in 2017. Initially inspired by Robinhood, Yoshi pivoted after experiencing firsthand the friction of accessing brokerage infrastructure—realizing the deeper opportunity was building API-first brokerage rails for developers. Today Alpaca powers 9 million accounts through 300+ partners across 45 countries, recently raising $150 million at a unicorn valuation. The discussion explores how Alpaca follows Robinhood's product roadmap to anticipate partner demand, the challenges of adding crypto, and Yoshi's thesis that finance is undergoing a generational shift from digital to on-chain operations. Lex shares examples of legacy infrastructure dysfunction—from faxing PDFs to TD Ameritrade in 2012 to the Synapse collapse caused by manual CSV uploads—illustrating why Alpaca built its own custody and ledger systems as a path to competing in the $350 trillion global securities custody market. NOTABLE DISCUSSION POINTS: Alpaca’s biggest breakthrough was not a better investing app idea, but recognizing that the real bottleneck was brokerage infrastructure. Yokokawa and team initially explored B2C product concepts, but pivoted once they experienced firsthand how painful broker-dealer setup, custody, and clearing integrations were. For readers building fintech, this is a huge lesson: the highest-value opportunity is often the “invisible” infrastructure pain, not the user-facing feature set. They found product-market fit by starting with a narrow wedge (API for automated traders) and only then expanding into a broader platform (Broker API for fintech apps). Alpaca did not begin by serving large fintechs; it first attracted power users who urgently needed programmable execution, then used inbound demand (“can I build my own Robinhood?”) as proof to build account opening, reporting, and full brokerage APIs. This is a valuable go-to-market pattern for infrastructure startups: win with a sharp use case, then expand into the system of record. Yokokawa’s core strategic edge is full-stack control of licenses, memberships, and ledger technology rather than relying on legacy vendors. He explicitly ties this to lessons from historical fintech fragility (manual workflows, broken reconciliations, middleware failures) and argues that owning the custody/clearing layer is what makes Alpaca defensible long term. For readers, this is the key takeaway on moat-building in financial services: if you don’t control the ledger and operational core, your product may scale faster at first but remains structurally fragile. TOPICS Alpaca, Lehman Brothers, Barclays, Nomura, Neuberger Berman, Blackrock, Robinhood, Interactive Brokers, TD Ameritrade, BNY Mellon, Brokerage infrastructure, API, trading, tokenization, embedded finance, fintech, crypto, web3   ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin   TIMESTAMPS 1’08: From Lehman and Subprime ABS to Alpaca: Yoshi Yokokawa’s Origin Story 4’39: Neuberger’s $120B MBO and Lehman’s Core Lesson: Keep Dancing Until the Music Stops 7’17: From AAA Securitized Demand to Startup Conviction: Yoshi’s Post Lehman Pivot From Asia Institutions to Entrepreneurship 10’59: Computer Vision AI at the Deep Learning Inflection Point: Building a Profitable Startup and Exiting to Kyocera 13’29: Web2 Fintech Tailwinds and Robinhood Inspiration: Searching for the Right Investing Product in 2017 15’23: Mockups to Broker API Pivot: Why Trade Execution Pain Beat User Interview Insights in 12 Months 19’46: API Brokerage Go to Market: Winning Automated Traders First Then Expanding Into Global Fintech Infrastructure 24’25: Broker API Expansion and Early Partners: Midas and GoTrade Validate the Shift to Fintech Infrastructure and Crypto 26’53: Global Broker Demand and Crypto Buildout: Using Robinhood Signals to Drive Multi Asset Infrastructure in One API 29’48: Multi Asset Revenue and the Endgame: 300 Partners 45 Countries 9M Accounts and a $350T Custody Ambition 34’07: Tokenization as the Regime Shift: How On Chain Finance Could Disrupt BNY Mellon and Reshape $350T Custody 37’12: Fax Machines CSV Ledgers and the Case for Web3 Finance: Why Owning the Custody Stack and Ledger Matters 45’37: The channels used to connect with Yoshi & learn more about Alpaca Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD. Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella Want to discuss? Stop by our Discord and reach out here with questions.

In this episode, Lex chats to Joseph Chalom, CEO of SharpLink, a Nasdaq-listed leader in digital asset treasury management focused on Ethereum. Joseph shares his journey from BlackRock and the Aladdin platform to pioneering digital asset strategies, including staking and tokenization. The discussion explores the evolution of fintech, the integration of crypto into institutional finance, and the future of decentralized finance (DeFi) and AI-powered financial agents.  Joseph highlights SharpLink approach to making Ether productive for investors and the growing institutional adoption of blockchain technologies. NOTABLE DISCUSSION POINTS: SharpLink’s scale and “productivity” pitch for ETH We hear that SharpLink (Nasdaq listed since July 2025) has raised a little over $3B in equity, holds ~$3B of ETH, and claims it stakes nearly 100% of its ether—framing itself as a public equities “one click” way to get both ETH upside and yield. A rare behind the scenes look at BlackRock’s crypto playbook We get specifics on how BlackRock approached digital assets through three pillars—Circle/USDC reserves, the Coinbase integration (announced Aug 4, 2022) to make crypto trading “boring” for institutions, and tokenization via BUIDL on Ethereum with Securitize, which he calls the largest tokenized fund. The next wave thesis AI agents + Ethereum rails Chalom argues the underestimated unlock is autonomous AI agents using Ethereum for programmable settlement, continuously reallocating capital across staking, lending, liquidity, and DeFi while monitoring smart contract risk—replacing manual “yield farming” with always on optimization. TOPICS Sharplink, BlackRock, FutureAdvisor, Ethereum, ETH, Buidl, Aladdin, digital assets, treasury management, decentralized finance, tokenization, Bitcoin, AI, AI Agents, Roboadvisors, Autonomous Agents   ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin   TIMESTAMPS 1’05: SharpLink’s Ethereum Treasury: $3B Raised to Make ETH Productive 4’53: BlackRock’s iShares Era and Aladdin Explained: Risk Tech at $14T Scale 9’07: From Aladdin to Robo Advisors: Why 320,000 Advisors Couldn’t Scale 16’32: The FutureAdvisor Culture Lesson: Balancing Product Builders and Institutional Know How 18’31: BlackRock’s Three Pillar Crypto Bet: Circle Coinbase and Tokenization 25’21: Why BlackRock Picked Coinbase: Making Crypto Trading “Boring” and Institutional 28’44: From Six Week Retirement to ETH Treasury: Why SharpLink Holds “Permanent Capital” 34’12: The Treasury Trade After the Hype: Why SharpLink Beats ETH ETFs on Staking 38’55: NAV Discounts and Mean Reversion: SharpLink’s Plan to Double ETH per Share 43’39: Ethereum’s Next Growth Stack: $300B Stablecoins $14T Tokenization and Institutional DeFi 48’23: From Copilots to Autonomous Agents: Ethereum as the Rails for Machine Finance 52’21: The channels used to connect with Joseph & learn more about SharpLink Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD. Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella Want to discuss? Stop by our Discord and reach out here with questions.

In this episode, Lex speaks with John Caplan — CEO of Payoneer, a public fintech company driving over $85 billion in annual cross-border payment volume. With roots as a prepaid card provider, Payoneer has evolved into a global financial operating platform serving 2 million entrepreneurs across 190 countries. Caplan shares insights from his entrepreneurial journey—from building OpenSky and scaling it to $50 million in revenue before its acquisition by Alibaba, to now leading Payoneer’s transformation into a full-service banking alternative for global SMBs. We explore how Payoneer is addressing the complex financial needs of international businesses, competing in a dynamic payments landscape, and preparing for a future that includes stablecoins, workforce management, and potentially $1 trillion in annual volume. NOTABLE DISCUSSION POINTS: Payoneer’s Strategic Evolution from Payout Processor to Global SMB Bank Alternative Under John Caplan’s leadership, Payoneer expanded beyond marketplace payouts to become a comprehensive cross-border financial platform, offering AR/AP, intra-network transfers, cards, and global workforce management. This shift has significantly increased customer retention, take rate, and profitability—highlighting how product expansion and upmarket focus can unlock durable growth in fintech.Execution Over Hype in Global Fintech Infrastructure Payoneer operates in 190 countries with 100+ banking partners and 7,000 payment routes—demonstrating the importance of deep regulatory compliance, local licensing, and multi-entity support in building resilient cross-border infrastructure. Unlike crypto-native entrants, Payoneer emphasizes last-mile utility and customer trust as core differentiators for scaling in complex markets.Profitable Scale and Global Demand for SMB Financial Services With $1B+ revenue, $200M+ EBITDA, and $7.5B in customer funds held, Payoneer is proving that serving cross-border SMBs is not just a mission, but a highly profitable business. Their customer base spans from Bangladeshi freelancers to European firms doing $1M+ in volume, signaling massive, underserved global demand for modern financial tools outside the traditional banking system.TOPICS Payoneer, Alibaba, OpenSky, Stripe, Wise, Airwallex, Mercury, NuBank, digital banking, embedded finance, stablecoins, blockchain, regtech, B2B payments, SPAC, supple chain, ecommerce   ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin   TIMESTAMPS 1’06: John’s Career Journey: From OpenSky to Alibaba to Payoneer 6’18: Inside OpenSky: Serving Global Sellers and Financing the Supply Chain 9’54: Finding Traction: Failure, Product Market Fit, and China’s E‑Commerce Leap 13’42: Global Distribution: Universal Ambitions, Local Execution 15’52: Behavior Change Beats Legacy: Why Users Digitize When It Matters 17’21: Payoneer at $85B Volume and $1B Revenue: A Platform for Global SMBs 20’49: From Prepaid Cards to Core Operating Account: Evolving Payoneer’s DNA 25’32: Inside Payoneer’s Architecture: Global Bank Network and Internal Ledger 28’26: Global Growth Corridors: LatAm, APAC, and Take Rate Expansion 31’13: Staying the Course: Payoneer’s Post-SPAC Journey Through Volatile Markets 34’03: Misunderstood Value: Stablecoins, Interest Revenue, and Payoneer’s Real Strengths 38’44: Where Global Commerce Bends: Regulation, Platforms, and Resilience 40’58: Path to $1 Trillion: Payoneer’s Strategy for Organic and Inorganic Growth 43’22: The channels used to connect with John & learn more about Payoneer Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD. Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella Want to discuss? Stop by our Discord and reach out here with questions.

In this episode, Lex speaks with Michael Egorov - Founder of Curve Finance and YieldBasis. Kicking things off about his journey from experimental physicist to founder of Curve Finance and YieldBasis, highlighting how theoretical physics concepts influenced his creation of financial invariants in DeFi protocols. Curve pioneered fully automated concentrated liquidity for stablecoins and introduced veTokenomics, a governance model rewarding long-term commitment with voting power and protocol fees. Egorov defends veTokenomics against criticisms of unlock-driven volatility, citing that most CRV locks average over 3 years and behave like permanent commitments. YieldBasis expands Curve’s approach by offering impermanent gain strategies to counter impermanent loss in volatile markets like Bitcoin, aiming to scale toward a $50B market ceiling. The discussion closes with reflections on DeFi token market structure challenges and Egorov’s call for protocols to connect token value to real economic flows by activating fee-sharing mechanisms. NOTABLE DISCUSSION POINTS: veTokenomics Drives Long-Term Alignment and Token Sink Efficiency Michael Egorov introduced veTokenomics in Curve to address short-termism in token governance by requiring users to lock CRV tokens for up to 4 years to gain voting power and protocol rewards. This mechanism has proven effective in practice, with the average CRV lock time exceeding 3 years, effectively removing tokens from circulation. Egorov notes that veTokenomics removed 3x more tokens from supply than buybacks would have, highlighting its material impact on protocol stability and investor alignment.YieldBasis Aims to Neutralize Impermanent Loss via Engineered Impermanent Gain YieldBasis builds on Curve’s AMM infrastructure by combining two layers: a Curve pool experiencing impermanent loss, and a complementary structure engineered to capture “impermanent gain”. This dual-layer approach statistically delivers net profit in volatile assets like Bitcoin, assuming mean-reverting price movements. Egorov estimates the market ceiling for this strategy at $50 billion, positioning YieldBasis as a scalable solution for volatility-based yield generation.DeFi’s Market Structure Issues Stem from Uncertain Token-Economics Linkages Egorov critiques much of DeFi for failing to connect protocol economics to token value. While Curve distributes fees directly to CRV lockers, most protocols (like Uniswap) have not activated fee-sharing mechanisms (”fee switches”), creating valuation uncertainty. Egorov argues that unless projects “turn the switch on” and reduce economic ambiguity, token pricing will remain volatile and fragile, hindering broader adoption and investment confidence.TOPICS Curve Finance, YieldBasis, Uniswap, MakerDAO, Convex, StakeDAO, Threshold Network, NuCypher, AladdinDAO, Athena, Yearn, DeFi, veTokenomics, AMM, Stablecoin, Tokenomics, Governance, CRV Token, Ethereum, ETH, Bitcoin, BTC   ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin   TIMESTAMPS 1’17: From Laser Cooling to Stablecoin Swaps: Michael Egorov on Physics-Inspired DeFi and Writing the “Laws” of Money 9’12: On-Chain Macro Labs: Designing Economies at Speed 14’58: Lockups vs. Liquidity Wrappers: When “Commitment” Becomes a Market for Illiquidity 18’57: Delegate Democracy on Chain: Vote Aggregators, Campaign Politics, and Why Ve-Style Governance Drives Higher Participation 23’52: Beyond TVL: Why Stablecoin AMMs “Need Less,” and How Yield Basis Targets Bitcoin’s Volatility to Neutralize Impermanent Loss 31’00: Who Earns the Volatility Yield: Wrapped Bitcoin Deposits, Market-Maker Liquidity, and the Long Runway Before Strategy Saturation 36’58: The Altcoin Valuation Trap: Why Buybacks Barely Move Prices—and Locking Can Shrink Supply 40’32: Fixing Token Market Structure: Connecting Cashflows, Killing Uncertainty, and Why “Turning the Fee Switch On” Matters 47’23: The channels used to connect with Michael & learn more about Curve and YieldBasis Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD. Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella Want to discuss? Stop by our Discord and reach out here with questions.

In this episode, Lex speaks with Gracy Chen - Bitget’s CEO, who transitioned from a fintech entrepreneur to leading one of the top five global crypto exchanges. Bitget processes $10–20 billion in daily trading volume and serves 120 million users across centralized and decentralized platforms. Its geographic base is mostly in Asia, but it’s expanding into Europe through regulatory compliance and new products like tokenized US stocks, which have already surpassed $20 billion in trading volume. Bitget differentiates through security features, including a $600 million protection fund, and user acquisition via both brand campaigns (e.g. Messi sponsorship) and local affiliate (KOL) marketing. Looking ahead, Bitget aims to move beyond crypto-native assets toward mass adoption, focusing on product-market fit and offering tokenized real-world assets and enterprise services. NOTABLE DISCUSSION POINTS: Bitget Is Transitioning Toward Regulatory Compliance and Tokenized Assets Bitget, historically an offshore crypto exchange, is shifting to a compliance-first strategy in key markets like Europe (e.g., under MiCA). It’s also diversifying its product offering beyond altcoins, including tokenized US stocks and forex, which have already generated $20B in trading volume. This reflects a broader industry trend where crypto platforms aim to integrate with traditional finance and support real-world assets (RWAs).Bitget’s User Acquisition Combines Web2 Financial Discipline with Web3 Community Tactics Bitget uses a hybrid marketing approach: brand partnerships like the Leo Messi campaign and grassroots affiliate marketing via KOLs (Key Opinion Leaders) who earn volume-based rebates. Additionally, local teams are given budget control and tailor acquisition strategies per market. This decentralized yet data-informed model mimics Web2 CAC (Customer Acquisition Cost) analysis while leveraging crypto-native community dynamics.Exchanges Are Struggling with Unsustainable Token Launch Models Gracy Chen criticizes the crypto industry’s overreliance on speculative “narrative-driven” token launches, noting that even well-funded tokens often fail without real product-market fit. Bitget is responding by requiring more tangible utility and sustainability from listed projects and aims to balance value across users, exchanges, and project teams through mechanisms like airdrop campaigns and launch pools with TOPICS Bitget, Bitget Wallet, Bitkeep, Coinbase, Binance, FTX, MetaMask, MicroStrategy, BlackRock, crypto, crypto exchange, token, altcoins, digital assets, tokenized assets, tokenization ABOUT THE FINTECH BLUEPRINT 🔥Subscribe to the Fintech Blueprint newsletter to stay at the forefront of Fintech and DeFi: https://bit.ly/3hyhlC2 🤝 Partner with Fintech Blueprint through sponsorships: https://bit.ly/3UZllsV 👉 Twitter: https://twitter.com/LexSokolin   TIMESTAMPS 1’03: A $300 Revelation: The Unlikely Path to Running a Global Crypto Exchange 4’00: From Offshore to Onshore: Scaling a Global Exchange for 120 Million Users 10’09: Chasing Real Value: How Product Market Fit Outlasts Hype 15’39: Market Structure in Flux: How Speculators Gave Way to Institutions 19’14: Inside the Exchange: How Marketing and Trust Drive User Growth 26’20: Balancing the Books: Navigating User Acquisition in Web3 vs Web2 30’38: Speculation and Signal: How Culture and KOLs Drive Crypto Adoption in Asia 34’11: Fixing the Feedback Loop: Rethinking Token Launches and Expanding Beyond Altcoins 40’42: Beyond the Hype: Building Sustainable Demand for Tokenized Assets Disclaimer here — this newsletter does not provide investment advice and represents solely the views and opinions of FINTECH BLUEPRINT LTD. Contributors: Lex, Laurence, Matt, Farhad, Mike, Daniella Want to discuss? Stop by our Discord and reach out here with questions.