The Technical Co-Founder Podcast with Fexingo: Engineering Founders, CTOs, and Building from Code

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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. #TechnicalCoFounder #CTO #EngineeringLeadership #StartupEngineering #TechStack #SoftwareArchitecture #FounderAdvice #CodeReview #Scalability #DevOps #StartupCulture #EngineeringManagement #VentureCapital #StartupFunding #BusinessPodcast #FexingoBusiness #Business #Technology Keep every episode free: buymeacoffee.com/fexingo

  1. 21h ago

    How One Startup Uses Multi-Version Concurrency Control for Zero-Downtime Migrations

    In this episode, Lucas and Luna explore how a fast-growing fintech startup uses multi-version concurrency control (MVCC) to perform schema migrations without taking the database offline. They walk through the problem of locking tables during ALTER statements, how MVCC keeps multiple versions of rows active, and the specific approach the startup took: progressive column additions, lazy backfills, and a version-based query router. The case study is a company processing 2 million transactions daily on PostgreSQL. The hosts break down why traditional migrations fail at scale and how MVCC-inspired patterns let the team ship schema updates in minutes instead of maintenance windows. They also touch on the tradeoffs — storage bloat and vacuum overhead — and why this technique is gaining traction in the microservices ecosystem. #MultiVersionConcurrencyControl #MVCC #ZeroDowntimeMigrations #SchemaMigration #PostgreSQL #Fintech #DatabaseDesign #Scalability #BackendEngineering #StartupEngineering #BusinessAndTechnology #TechnicalCoFounder #FexingoBusiness #BusinessPodcast #EngineeringPodcast #Database #DataMigration #SoftwareArchitecture Keep every episode free: buymeacoffee.com/fexingo

  2. 1d ago

    How One Startup Uses Differential Privacy for Analytics Without Leaking User Data

    Episode 129 dives into differential privacy — the statistical technique that lets companies extract useful insights from datasets while making it nearly impossible to re-identify any single individual. Lucas and Luna break down how one startup, a health-data analytics platform called Synthos, applies differential privacy to its customer-facing dashboards. They walk through the math behind adding 'calibrated noise,' the trade-off between accuracy and privacy, and how Synthos uses a privacy budget (epsilon) to give users control. Specific numbers: how a privacy budget of epsilon=1.0 versus epsilon=10.0 changes query results, and why Synthos chose the Laplace mechanism over the exponential mechanism for their use case. If you're building a product that handles sensitive data or are just curious how Apple and the US Census Bureau actually deploy differential privacy, this episode gives you the concrete implementation details without the hype. #DifferentialPrivacy #PrivacyEngineering #DataAnalytics #Synthos #PrivacyBudget #Epsilon #LaplaceMechanism #USCensus #Apple #HealthData #DataScience #PrivacyPreservingTech #StartupEngineering #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #TheTechnicalCoFounder #EngineeringFounders Keep every episode free: buymeacoffee.com/fexingo

  3. 1d ago

    How One Startup Uses Zero-Knowledge Proofs for Verifiable Outsourced Computation

    In episode 128 of The Technical Co-Founder Podcast, Lucas and Luna explore how a startup called Veridise uses zero-knowledge proofs to let customers verify that a cloud provider actually ran the computation they paid for — without re-executing it or exposing private data. Lucas explains why zk-SNARKs matter for trust in outsourced compute, how Veridise handles the performance trade-off between proof generation and verification, and why a financial-services client cut audit latency from 24 hours to under three seconds. Luna pushes back on the complexity cost and asks whether this technique will stay niche or become infrastructure. A concrete look at a technology that turns 'trust me' into 'verify me'. #ZeroKnowledgeProofs #ZkSNARKs #Veridise #CloudComputing #OutsourcedComputation #VerifiableCompute #Cryptography #Blockchain #TrustButVerify #ProofGeneration #AuditLatency #PrivacyPreserving #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #TheTechnicalCoFounder #EngineeringPodcast #StartupTech Keep every episode free: buymeacoffee.com/fexingo

  4. 2d ago

    How One Startup Uses CRDTs for Peer-to-Peer Databases

    In episode 127 of The Technical Co-Founder Podcast, Lucas and Luna explore how a startup called Ditto uses Conflict-Free Replicated Data Types (CRDTs) to build peer-to-peer databases that work offline. Lucas explains the core idea behind CRDTs—data structures that automatically resolve conflicts without a central server—and how Ditto applies them to sync data across devices in retail and logistics environments. Luna asks about the trade-offs, including consistency guarantees and the complexity of designing custom CRDTs. The hosts discuss a real-world deployment at a grocery chain where Ditto replaced a centralized cloud backend for inventory management, reducing latency from seconds to milliseconds and enabling offline-first operations. They also touch on the broader implications for edge computing and the growing interest in local-first software. This episode is ideal for engineers and founders evaluating distributed data models for their products. #CRDT #PeerToPeer #Ditto #Database #OfflineFirst #ConflictResolution #DistributedSystems #EdgeComputing #LocalFirst #InventoryManagement #RetailTech #Logistics #Replication #Consistency #Startup #BusinessAndTechnology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

  5. 2d ago

    How One Startup Uses Bloom Filters to Speed Up Database Joins by 40x

    In this episode, Lucas and Luna explore how a small data infrastructure startup, Raft, deployed Bloom filters to accelerate join operations in their distributed SQL engine. Bloom filters are a space-efficient probabilistic data structure that can quickly test whether an element is a member of a set, with a small chance of false positives. Raft integrated Bloom filters into their query optimizer to skip entire partitions during hash joins, reducing I/O and network transfer. The result: a 40x speedup on join-heavy workloads without sacrificing correctness. Lucas breaks down the math behind Bloom filters — including optimal hash functions and false-positive rates — and Luna explains how Raft tuned the filter size for their data distribution. They also discuss trade-offs, such as the cost of rebuilding filters when data changes, and how this technique compares to other join acceleration methods like materialized views or pre-aggregation. #BloomFilters #DatabaseJoins #Raft #DataInfrastructure #DistributedSQL #ProbabilisticDataStructures #QueryOptimization #HashJoin #FalsePositiveRate #DataEngineering #Performance #40xSpeedup #PartitionPruning #IOReduction #Business #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

  6. 3d ago

    How One Startup Uses LSM Trees for High-Throughput Time Series

    Episode 125 of The Technical Co-Founder Podcast dives into Log-Structured Merge Trees (LSM Trees) and how one startup, TimescaleDB, uses them to handle millions of data points per second for time-series workloads. Lucas and Luna break down the write amplification problem, the role of SSTables and compaction strategies, and why LSM Trees outperform B-Trees for sequential writes in IoT and observability. They also discuss real-world trade-offs: read latency, space amplification, and how tiered vs. leveled compaction affects performance. A concrete look at a foundational data structure powering modern time-series databases. #LSMTrees #TimeSeries #TimescaleDB #DatabaseStorage #CompactionStrategies #SSTables #WriteAmplification #BTreeVsLSM #IoTData #Observability #HighThroughput #DataEngineering #StartupInfrastructure #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #TechCoFounder #EngineeringLeadership Keep every episode free: buymeacoffee.com/fexingo

  7. 3d ago

    How One Startup Uses Lock-Free Data Structures for Real-Time Analytics

    Episode 124 of The Technical Co-Founder Podcast dives into lock-free data structures and how one startup, a real-time analytics platform called OmniScope, replaced traditional mutex-based queues with lock-free ring buffers to handle over 10 million events per second per node. Lucas and Luna break down the mechanics of compare-and-swap (CAS) operations, memory ordering, and the ABA problem, using concrete examples from OmniScope's journey. They discuss why lock-free solutions matter for latency-sensitive systems—OmniScope cut p99 latency from 120 microseconds to under 10 microseconds—and the trade-offs in complexity and correctness. The conversation also touches on hazard pointers and epoch-based reclamation for memory management. If you're building high-throughput systems or just curious about how databases and trading engines avoid contention, this episode offers a practical, example-driven primer on lock-free design patterns and their real-world impact. #LockFree #DataStructures #RealTimeAnalytics #OmniScope #Concurrency #LowLatency #CAS #CompareAndSwap #ABAPRoblem #RingBuffer #MemoryReclamation #EpochBasedReclamation #HazardPointers #Business #Technology #FexingoBusiness #BusinessPodcast #TechnicalCoFounder Keep every episode free: buymeacoffee.com/fexingo

  8. 4d ago

    How One Startup Uses Formal Verification for Smart Contracts

    Episode 123 of The Technical Co-Founder Podcast dives into formal verification for smart contracts. Lucas and Luna explore how one early-stage startup, Quantify Labs, mathematically proves the correctness of DeFi smart contracts before deployment. They break down the difference between fuzzing, auditing, and formal verification, and walk through a concrete example where formal verification caught a critical reentrancy bug that static analysis missed. The hosts discuss the trade-offs: the steep learning curve of writing specifications in TLA+ and Coq, the computational cost of symbolic execution, and why the startup decided to pay that cost upfront rather than risk a million-dollar exploit. They also touch on the broader industry trend of insurance underwriters starting to require formal verification for high-value DeFi protocols. Listeners learn what formal verification actually means in practice, why it's different from traditional testing, and whether it makes sense for their own stack. #FormalVerification #SmartContracts #DeFi #Blockchain #TLA+ #Coq #QuantifyLabs #ReentrancyBug #SymbolicExecution #Solidity #Ethereum #Security #Auditing #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #Engineering #Startups Keep every episode free: buymeacoffee.com/fexingo

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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. #TechnicalCoFounder #CTO #EngineeringLeadership #StartupEngineering #TechStack #SoftwareArchitecture #FounderAdvice #CodeReview #Scalability #DevOps #StartupCulture #EngineeringManagement #VentureCapital #StartupFunding #BusinessPodcast #FexingoBusiness #Business #Technology Keep every episode free: buymeacoffee.com/fexingo

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