{"version":1,"id":"logan-jastremski","title":"Logan Jastremski","summary":"Logan Jastremski is a person that co-founded and manages Frictionless Capital and produces research and a podcast on blockchain infrastructure, crypto economics, payments, and the intersection of crypto and AI.","content":"**Logan Jastremski** is an investor, product professional, writer, and podcast host with a background in technology, product management, and [cryptocurrency](https://iq.wiki/wiki/cryptocurrency). He is currently Co-Founder and Managing Partner at [Frictionless Capital](https://iq.wiki/wiki/frictionless), having previously held product roles at Tesla and Expedia Group. [\\[3\\]](#cite-id-8g0hpeekje) \n\n## Education\n\nJastremski earned a degree in Informatics and Computer Science from Indiana University Bloomington. [\\[1\\]](#cite-id-cw5k77cu6o) \n\n## Career\n\nJastremski began his professional career at Expedia Group in a Product role focused on growth and lodging, where he worked on product development and growth initiatives. He subsequently joined Tesla as a Product leader, working on the digital experience associated with vehicle ownership and the global infrastructure supporting the company’s Supercharging network, including international expansion, customer service initiatives, and digital products. Jastremski is currently Co-Founder and Managing Partner at [Frictionless Capital](https://iq.wiki/wiki/frictionless), an investment firm focused on technology and [cryptocurrency](https://iq.wiki/wiki/cryptocurrency). Alongside his investment work, he has developed a public profile through writing and podcasting, with a focus on areas including product management, machine learning, [cryptocurrencies](https://iq.wiki/wiki/cryptocurrency), and [crypto](https://iq.wiki/wiki/cryptocurrency) economics. [\\[1\\]](#cite-id-cw5k77cu6o)  [\\[2\\]](#cite-id-zs2uzlegoj) \n\n## Interviews\n\n### Moving Onchain\n\nIn an August 2026 episode of the Frictionless Podcast, Jastremski hosted Rod Hadick of [Dragonfly](https://iq.wiki/wiki/dragonfly) for a discussion about the evolution of [crypto](https://iq.wiki/wiki/cryptocurrency) infrastructure and its increasing integration with traditional finance. Hadick argued that the industry’s focus has shifted from ideological debates toward financial rails, with [tokenization](https://iq.wiki/wiki/tokenization), [stablecoins](https://iq.wiki/wiki/stablecoin), payments, and onchain infrastructure now receiving greater attention from financial institutions and large technology companies. They discussed how early [crypto](https://iq.wiki/wiki/cryptocurrency) payment companies accumulated technical debt, creating opportunities for newer entrants from traditional payments to build more scalable infrastructure, while suggesting that the next phase of payments and trading will focus on reducing fees, improving efficiency, and enabling real-time settlement rather than completely replacing existing financial systems. The conversation also examined the convergence of AI and [crypto](https://iq.wiki/wiki/cryptocurrency), with Hadick observing that many projects initially combining the two are increasingly becoming AI-focused businesses that use [crypto](https://iq.wiki/wiki/cryptocurrency) primarily as underlying infrastructure. They concluded by discussing the industry’s broader shift away from token-driven speculation toward valuations based on products, revenue, and measurable onchain activity, as [blockchain](https://iq.wiki/wiki/blockchain) infrastructure becomes increasingly integrated into mainstream financial and corporate systems. [\\[6\\]](#cite-id-qjnwper7lm) \n\n[YOUTUBE@VID](RS90ojrVr0w)\n\n### AI Unbundling\n\nIn an August 2026 episode of the Frictionless Podcast, Jastremski interviewed [Tarun Chitra](https://iq.wiki/wiki/tarun-chitra) of [Gauntlet](https://iq.wiki/wiki/gauntlet) and [Robot Ventures](https://iq.wiki/wiki/robot-ventures) about the changing economics of [Bitcoin](https://iq.wiki/wiki/bitcoin), [DeFi](https://iq.wiki/wiki/defi), and the emerging intersection of AI and [crypto](https://iq.wiki/wiki/cryptocurrency). [Chitra](https://iq.wiki/wiki/tarun-chitra) argued that AI has altered the opportunity cost of capital and challenged some of the economic assumptions underlying [Bitcoin](https://iq.wiki/wiki/bitcoin), while describing [DeFi](https://iq.wiki/wiki/defi) as an increasingly unbundled financial stack in which [liquidity providers](https://iq.wiki/wiki/liquidity-providers) and MEV capture much of the value. They discussed how growing [stablecoin](https://iq.wiki/wiki/stablecoin) adoption could drive disproportionate increases in trading and lending activity, alongside a shift toward [agent](https://iq.wiki/wiki/ai-agents)-based trading and personalized asset management that could redistribute order flow across continuously operating onchain markets. The conversation also examined the role of [zero-knowledge proofs](https://iq.wiki/wiki/zero-knowledge-proofs-zkps) and other cryptographic techniques in AI, particularly for privacy, verification, compute pricing, and model routing, although [Chitra](https://iq.wiki/wiki/tarun-chitra) noted that current cryptographic systems remain relatively expensive and underutilized. They further explored open-source AI models and decentralized compute markets as structures that increasingly resemble [crypto](https://iq.wiki/wiki/cryptocurrency) markets, with compute, networking, hardware, and cryptography emerging as important components of future infrastructure. The discussion concluded with the prospect of new market mechanisms for compute, privacy, and model routing that could combine [crypto’s](https://iq.wiki/wiki/cryptocurrency) financial and cryptographic primitives with AI’s demand for computation and autonomous decision-making. [\\[5\\]](#cite-id-iukw6o4dqe) \n\n[YOUTUBE@VID](87B2yeoipoQ)\n\n### Only 1% Done\n\nIn an April 2026 episode of the Frictionless Podcast, Jastremski interviewed [Evan Cheng](https://iq.wiki/wiki/evan-cheng) of [Mysten Labs](https://iq.wiki/wiki/mysten-labs) about the development of [blockchain](https://iq.wiki/wiki/blockchain) infrastructure and the challenges of bringing the technology to broader adoption. [Cheng](https://iq.wiki/wiki/evan-cheng) discussed how fragmentation and the complexity of the [blockchain](https://iq.wiki/wiki/blockchain) landscape continue to create barriers for developers, arguing that the industry needs higher levels of abstraction and more integrated platforms to support the next stage of growth. He explained that scaling high-throughput [blockchains](https://iq.wiki/wiki/blockchain) requires purpose-built infrastructure, including custom databases and redesigned approaches to fundamental limitations such as account access, drawing comparisons with the top-down scaling strategies used by large technology companies. [Cheng](https://iq.wiki/wiki/evan-cheng) also advocated for unified, modular platforms with vertically integrated stacks that can support applications across areas such as AI, finance, and gaming without forcing developers to assemble disconnected systems. The conversation examined the industry’s transition from experimentation toward more mature, product-focused ecosystems, with [Cheng](https://iq.wiki/wiki/evan-cheng) emphasizing sustainable projects, long-term community support, and quality over the proliferation of competing models. He also discussed the potential for large consumer applications, particularly in gaming and AI, alongside infrastructure for private payments and other privacy-focused applications, while reiterating the broader goal of developing scalable, general-purpose [blockchain](https://iq.wiki/wiki/blockchain) technology capable of supporting real-world use cases. [\\[4\\]](#cite-id-u7odaykn9x) \n\n[YOUTUBE@VID](CJ4RbnmJag8)\n","categories":[{"id":"people","title":"people"}],"tags":[{"id":"Founder"},{"id":"Investor"},{"id":"Speaker"},{"id":"Researcher"},{"id":"Influencer"}],"images":[{"id":"Qme2gNqoPfMCq9JjFFvYYuUneEEqtcsUMDnmoedPVuhkAL","type":"image/jpeg, 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