Exponential: A Nexus Podcast

Nexus

Exponential is a Nexus podcast about people, code, and capital. 

  1. 5D AGO

    Episode 25: Invisible Infrastructure

    In this episode of Exponential, Jin Kwon, co-founder of saga.xyz, explains how blockchain infrastructure will disappear into the background. Saga began as what Jin calls “a chain to launch chains.” The original thesis was simple: make block space more accessible for builders. But while the early bottleneck in crypto was scarce block space, today the challenge is different. There is more capacity available, yet building and operating a chain remains complex. “The technical complexity is mostly solved,” Jin explains. “But the operational complexity is definitely not.” Launching a blockchain is not just about spinning up code. It requires validators, economic design, token distribution, and ongoing coordination. Saga abstracts that operational burden. Builders submit a configuration request, and Saga’s mainnet validators automatically spin up a fully connected, decentralized chain, complete with bridging and orchestration. The model works more like AWS than a traditional blockchain launch, with predictable infrastructure costs instead of open-ended gas economics. Underneath that architecture is a deeper critique of blockchain economics. “Blockchain economics is terrible for everybody involved,” Jin says bluntly. Most networks depend on gas fees for both spam prevention and revenue, but Jin argues those functions should be separated. In Saga’s model, infrastructure costs are minimized and predictable, while long-term revenue should come from the economic activity built on top of applications, not from taxing every transaction. He points to Solana as a partial step in that direction, where gas is cheap enough to fade into the background and much of the value accrues elsewhere in the stack. Saga aims to push that further by removing gas as a core revenue mechanism and focusing instead on enabling sustainable application-layer economies. The conversation also explores a broader debate in crypto: whether blockchain’s primary use case is finance or something else entirely. Jin rejects the distinction. “Finance is just one of the rails in which you create an economy,” he says. From his perspective, blockchain is fundamentally an economy-generation tool. Whether the use case is gaming, commerce, prediction markets, or payments, the underlying goal is building and coordinating new digital economies more efficiently. Looking ahead, Saga is moving upstream from infrastructure into applications, particularly at the intersection of AI and commerce. The team is exploring how crypto rails and AI tooling can simplify merchant activity, advertising, and digital payments while hiding the “gunkiness” of Web3 from end users. The long-term vision is clear: remove friction layer by layer until blockchain becomes invisible. When that happens, users won’t ask whether something is “Web3” or “finance.” They’ll simply use applications that are cheaper, faster, and more aligned with the digital economies they power.

    43 min
  2. FEB 11

    Episode 23: Stablecoin Payment Networks

    In this episode of Exponential, Kevin Lehtiniitty, CEO of Borderless, shares how his team is building a new kind of financial network — one where stablecoins move across global corridors just as easily as traditional money, but with far less friction. Lehtiniitty brings deep experience to the problem. He helped launch TrueUSD, one of the earliest U.S.-based fully reserved stablecoins, and now leads Borderless, which he describes as the first stablecoin payments network.  Unlike individual stablecoins or isolated on/off ramps, Borderless acts as a connectivity layer across more than 77 countries, abstracting the complexity of moving money across jurisdictions, banking systems, and rails. “We want to live in a world where blockchain-based finance powers everyday experiences — but does so in the background, where people don’t notice,” he explains. The goal is to support global fintech builders who want to launch neobank-like apps using stablecoins without needing to integrate dozens of local providers or manage fragmented APIs. He emphasizes that payments isn’t just a technology problem. “If you aren’t able to also solve for compliance and the risk elements, it doesn’t really go anywhere.” A recurring theme throughout the conversation is credible neutrality. “Circle has no incentive — in fact, a disincentive — for their payments network to support or promote their competitive products,” Lehtiniitty says. Borderless, by contrast, aims to be an open, interoperable network similar to Visa or SWIFT — not another walled garden with “blockchain lipstick.” That philosophy also applies to infrastructure. “We need to really focus on two things,” he says. “One, the underlying blockchain infrastructure needs to be permissionless and open. And two, stablecoin networks can’t be side projects — they need to be credibly neutral.” In addition to infrastructure, Borderless is also building visibility. Lehtiniitty reveals they’ve assembled what they believe is the world’s largest dataset of stablecoin-to-fiat FX prices and now publish a public benchmark to help the ecosystem understand where stablecoins outperform traditional remittance rails.

    31 min
  3. FEB 4

    Episode 22: Predictive AI

    In this episode of Exponential, Zohar Bronfman, co-founder and CEO of Pecan AI, unpacks the role of predictive AI in today’s business landscape — and why it’s quickly becoming indispensable. At its core, predictive AI estimates the likelihood of future events using massive amounts of data. Zohar explains: “In very general terms, it’s the ability to make some form of a statistical likelihood estimation of any type of future event.”  He contrasts this with the limitations of human decision-making: “Our mind can take into consideration three or four pieces of information for a given task… Predictive AI would basically take 1500 data points.”  Zohar draws a line between generative AI, which mimics human-like reasoning, and predictive AI, which is optimized for decision-making at scale.  This capability makes predictive AI critical for business operations, particularly when it comes to modeling customer behavior, forecasting, and operational decisions.  As Zohar puts it: “The most successful businesses… Amazon, Meta, Google… they all use predictive AI extensively.”   But predictive AI still faces major hurdles. One is data normalization — unlike standardized text used in language models, proprietary business data is highly idiosyncratic. “It’s like different languages… it’s extremely hard to transfer learning that happened on one business’s data.” Zohar also points to an under-discussed challenge: causality. “AI today… is correlational analysis, not causal analysis. The fact that something is going to happen doesn’t mean that you can affect it.”

    37 min
  4. JAN 29

    Episode 21: Building on Nexus

    In this episode of Exponential, Wucklace, a self-taught developer and creator of Exhibition DeFi, shares his path from fashion design to building onchain — and why he’s working a new kind of platform on Nexus. His journey started with crypto trading and quickly deepened. “I love the concept of total ownership,” he says, recalling his first experience with non-custodial wallets. “There is no restriction, no permission. I can do anything I like with the wallet. That got me curious.”  That curiosity led him to question the way token launches work today. “Once a token dies, the project barely lives,” he says. “I believe the issue is in the way we launch tokens." His solution is Exhibition DeFi, a deterministic token launch platform built on Nexus. “If there is anything important, it must be defined before the launch,” he explains. That includes parameters like supply, liquidity, distribution, and funding targets — all enforced by the protocol. For Wucklace, Nexus was the natural fit. “Nexus does not treat verifiability as an option,” he says. “It is built into the execution layer.”  That alignment gave him the confidence to move beyond a demo and start building toward a production-ready protocol. His advice to other developers is to resist hype and focus on what matters. “A developer should define the rules before anything else,” he says. “Do your work based on what we really need — what will bring the mass adoption we’re looking for.”  Looking ahead, he’s focused on refining Exhibition DeFi and prototyping additional utilities to help other builders with token distribution and onchain workflows.

    30 min
  5. 12/12/2025

    Exponential Episode 18: Public Privacy

    In this episode of Exponential, Aisling Connolly, Chief Strategy Officer at TACEO, joins the show to unpack the deeper technical and philosophical motivations behind verifiable finance. With a background in mathematics, economics, and cryptography, Ais has long been drawn to using rigorous math to solve real-world problems — a mindset that eventually brought her from traditional payments to privacy infrastructure for blockchains. “We’re building this network for private shared state,” Ais explains, referring to TACEO’s architectural vision. “How can we have it so that we have verifiability, composability, and privacy?” The company’s design leverages multiparty computation (MPC) alongside zero-knowledge proofs, enabling parties to compute on encrypted data while generating proofs of correctness — without exposing sensitive information. Ais contrasts today’s onchain possibilities with the legacy systems she encountered in traditional finance. “In the TradTech world, you just had to trust the banks and the tech companies… because you only had to trust one or two people,” she explains. “With blockchain, you get verifiability without needing to trust anyone.”  But that shift also exposes a tradeoff: “You can go check your transactions, but you lose the privacy.” For Ais, this tension between trustlessness and discretion has been a through-line in her career: “I’ve always been focused on the same problem — how can we have verifiability, but with this layer of privacy?” While privacy has historically been misunderstood or deprioritized, Ais sees the value proposition becoming clearer. “People already do make the choice — they use VPNs, encrypted messengers. And if I can use a privacy protocol that transfers in one second and costs half a cent, I’m not losing efficiency.” She also points out that many legacy financial systems are held together by inertia, not performance. “If you factor in the real cost of running legacy financial systems — which are 30 years of things built on top of things — they’re not efficient. They’re crumbling.” As new use cases emerge at the intersection verifiability and finance, Ais believes the infrastructure being built today will soon become the default. “Most people will be using verifiable finance,” she says. “Whether you know it or not.”

    44 min

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Exponential is a Nexus podcast about people, code, and capital.