Lucas and Luna sit down with engineering founders and CTOs who ship code, not slide decks. Each episode deconstructs how a technical leader chose their stack, scaled the engineering team, and balanced building against fundraising — from the first commit to the series A. Lucas presses for concrete metrics: deployment frequency, incident response times, burn rate per engineer. Luna challenges the guest on hiring philosophy, monorepo decisions, and when to rewrite vs. refactor. The show serves experienced software engineers considering a co-founder role, early-stage CTOs looking for war stories, and product-minded developers who want to understand the business side of code. No fluff, no motivational speeches — just the real trade-offs between shipping fast and building robust systems, told by the people who made the calls. You'll walk away with a mental model for choosing your first cloud provider, structuring a two-pizza team, or deciding whether to take outside funding at all.#Technica
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What is The Technical Co-Founder Podcast with Fexingo: Engineering Founders, CTOs, and Building from Code?
The Technical Co-Founder Podcast with Fexingo: Engineering Founders, CTOs, and Building from Code is a business podcast hosted by Fexingo, with 155 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
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Fexingo hosts The Technical Co-Founder Podcast with Fexingo: Engineering Founders, CTOs, and Building from Code, a business show with 155 episodes published.
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Episode #160
How gRPC Multiplexing Cuts Latency in Microservices
Aug 19, 202611 minS4
In this episode, Lucas and Luna dive into the world of gRPC multiplexing and how it's transforming microservice communication. They explore the mechanics of HTTP/2 multiplexing, the practical benefits for startups, and the real-world impact on latency and throughput. With a focus on a concrete example—how a fintech startup reduced their inter-service latency by 35 percent—they break down the trade-offs between gRPC and REST, the role of protobufs, and the operational considerations like connection management and debugging. Lucas shares insights on when multiplexing shines and when it might be overkill, while Luna challenges the hype with questions about complexity and observability. Whether you're a technical founder or a curious engineer, this episode gives you a clear understanding of why gRPC multiplexing matters and how to decide if it's right for your stack. #GRPC #HTTP2 #Microservices #Latency #StartupTech #Fintech #BackendEngineering #APIs #Protobufs #Networking #Scalability #TechPodcast #BusinessAndTech #EngineeringLeadership #CTOInsights #FexingoBusiness #BusinessPodcast #TechFounders Keep every episode free: buymeacoffee.com/fexingo
In this episode, Lucas and Luna dig into the engineering behind blockchain state storage, focusing on a technique that keeps full nodes lean: Merkle prefix trees. They trace how a simple idea—combining cryptographic hashing with radix-style path compression—lets Ethereum-style networks verify state without re-downloading everything. Along the way, they look at real numbers, like how a full Ethereum node can store hundreds of gigabytes of state, and why that matters for decentralization. They also touch on the trade-offs: update costs, witness sizes, and the tension between storage efficiency and proof size. If you've ever wondered why your light client works or how archival nodes survive, this one's for you. Plus, a quick, honest note on what keeps this podcast ad-free. #MerklePrefixTree #BlockchainState #Ethereum #RadixTree #CryptographicHashing #StorageEfficiency #LightClients #Decentralization #FullNode #ArchivalNode #DataStructures #Consensus #Technology #SoftwareEngineering #Podcast #FexingoBusiness #BusinessPodcast #TechTalk Keep every episode free: buymeacoffee.com/fexingo
How Bloom Filters Cut Database Lookups to Near Zero
Aug 17, 202611 minS4
In episode 158 of The Technical Co-Founder Podcast, Lucas and Luna dive into Bloom filters: the probabilistic data structure that lets databases like PostgreSQL and Cassandra check 'definitely not in this set' without touching disk. They walk through the classic case of PostgreSQL's index-only scans, where a Bloom filter over visibility maps cuts unnecessary heap fetches. They explain how the trade-off between false positives and memory works, why the optimal number of hash functions matters, and how startups use Bloom filters to slash latency and cost in real-time systems. Along the way, they acknowledge listener support as the reason the show stays ad-free, and they connect the dots to your own code. If you've ever wondered how a structure that sometimes lies can make your database dramatically faster, this episode gives you the concrete mechanics and one practical takeaway you can use today. #BloomFilters #ProbabilisticDataStructures #PostgreSQL #Cassandra #DatabaseOptimization #IndexOnlyScans #FalsePositives #HashFunctions #LatencyReduction #SystemDesign #BackendEngineering #DataStructures #TechPodcast #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #TechLeadership #EngineeringInsights Keep every episode free: buymeacoffee.com/fexingo
How Read Replicas Scale PostgreSQL Without the Headache
Aug 16, 20268 minS4
In this episode of The Technical Co-Founder Podcast, Lucas and Luna dig into the often-overlooked workhorse of modern databases: read replicas. Using a concrete example of a startup that scaled its PostgreSQL database from a single instance to handle 40x read traffic, they explain how read replicas work under the hood — from physical replication to lag and consistency trade-offs. They also tackle the tricky part: what happens when a replica falls behind, and how to handle failover without dropping writes. If you're a technical founder running a growing product, this episode gives you a practical mental model for when and how to use read replicas, and why they're not a magic bullet for every scaling problem. Tune in for a focused, jargon-light conversation that breaks down a key infrastructure decision every growing team eventually faces. #ReadReplicas #PostgreSQL #DatabaseScaling #TechCoFounder #Infrastructure #Replication #Consistency #Failover #CTO #EngineeringLeadership #StartupTech #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #TechPodcast #DatabasePerformance #ScalingStrategies #LucasAndLuna Keep every episode free: buymeacoffee.com/fexingo
Have you ever wondered how Google Maps instantly finds nearby restaurants or draws perfect boundaries around neighborhoods? The secret isn't just GPS—it's an open-source geometry library called S2, used by Google, Uber, Foursquare, and many others. In this episode, Lucas and Luna dive into how S2 cells work: they project the Earth onto a cube, then recursively subdivide into a hierarchy of cells, each with a unique 64-bit ID. You'll learn how these IDs enable lightning-fast spatial indexing, why they make distance calculations and neighbor searches trivial, and how companies use S2 to solve real-world problems like ride-hailing matching and geofencing. We also discuss the trade-offs between S2 and alternatives like H3 or Geohash, and why the choice matters for your own applications. If you've ever wanted to understand the invisible technology behind location-based services, this episode gives you a clear, technical yet accessible breakdown—perfect for developers, product managers, and anyone curious about how maps work under the hood. #S2Geometry #GoogleMaps #SpatialIndexing #Geolocation #Geofencing #LocationTech #Geospatial #Uber #OpenSource #DataStructures #Algorithms #TechExplained #Programming #SoftwareEngineering #Business #Podcast #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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