Deep dives on technology, systems thinking, founder performance, and the ideas that compound over time.
CryptographyPLONK became the foundation for nearly every production ZK proof system — from zkSync to Polygon. Understanding its arithmetization, custom gates, and lookup arguments is essential for engineers building on top of it.
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InfrastructureeBPF lets you attach programmable hooks to any kernel function with near-zero overhead. But writing safe, performant eBPF programs for production observability requires understanding the verifier, map types, and BTF — not just the marketing pitch.
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BlockchainCross-domain MEV between L2 rollups represents a $500M+ annual opportunity. But shared sequencing doesn't deliver the atomic execution it promises. Here's why — and what architectures actually work.
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Database EngineeringThe difference between a query taking 10ms and 10 seconds often comes down to three subsystems: the storage engine, the concurrency control mechanism, and the query execution engine. Here's how the state of the art actually works.
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StrategyMost strategies don't fail because they're bad strategies. They fail because organizations can't execute them. Harvard Business Review data reveals the root causes — and a practical framework to close the gap.
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Distributed SystemsHotStuff became the consensus algorithm of choice for Diem, Aptos, Sui, and dozens of production blockchains. Its linear communication complexity and chained pipelining are genuinely novel. Here's how the protocol actually works.
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AI & MLCompanies are running more AI pilots than ever. But almost none of them make it to production. Gartner data reveals the systemic reasons — and a practical roadmap to escape pilot purgatory.
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AI EngineeringRetrieval-Augmented Generation promised to ground LLMs in facts. But naive implementations hallucinate almost as much as vanilla models. Here's the engineering that makes RAG actually work in production.
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ArchitectureEvent-driven architecture promises loose coupling and scalability. But in production, it introduces failure modes that most teams aren't prepared for. Here's how to build event-driven systems that actually work.
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Founder PerformanceWe tracked biometrics of 84 technical founders over 6 months. The results were clear: the founders who shipped the most weren't grinding the hardest — they were managing their physiological debt better than everyone else.
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Personal DevelopmentI tracked every book, paper, and course for 1,096 days. 312 books, 847 papers, 41 courses. The result wasn't expertise in any single domain — it was a generalist operating system that makes me mass-produce solutions to new problems.
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Founder PerformanceOnly 25% of the population are true morning chronotypes, yet the entire productivity industry is built around early rising. The science of PER3 gene polymorphisms, ultradian rhythms, and circadian biology tells a different story — one where peak performance is about alignment with your biology, not discipline against it.
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Distributed SystemsReal-time collaboration powers Google Docs, Figma, and VS Code Live Share — but the underlying algorithms are deeply non-trivial. OT and CRDTs take fundamentally different approaches to concurrent editing, and both are riddled with subtle correctness pitfalls that most implementations get wrong.
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Quantitative FinancePairs trading is the most popular 'quant' strategy for retail traders — and the most commonly implemented incorrectly. The gap between backtest Sharpe and live Sharpe is enormous, systematic, and caused by mistakes that are entirely avoidable if you understand the math.
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