The desk / continuation
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An exhaustively researched, 5000-word guide to categorising books for a lifetime reading library on GitHub. Covers every category decision rule, explains how libraries, publishers, and the BISAC system classify books — and provides the complete folder architecture for an unlimited-scale MDX book repository.
Learning & GrowthA research-backed guide to re-evaluating category limits for a large personal library. Introduces the concept of Category Manifest MDX files and provides a massive, actionable prompt for coding agents to organize and validate a library repository of 5000+ books.
Learning & GrowthA highly tailored taxonomy designed specifically for an optimization-focused software engineer. Condenses standard humanities while expanding distributed systems, local AI, volatility trading, Indian tax structures, and homelab infrastructure.
Learning & GrowthA 7000-word exhaustive guide to organizing any library from first principles. Synthesizes the Dewey Decimal System, Library of Congress Classification, BISAC's 54 major headings, Ranganathan's Colon Classification, and modern personal library research into a single, universal taxonomy anyone can implement immediately.
Learning & GrowthA comprehensive developer-focused blueprint to building multiple income streams. Discover how to leverage Python, GitHub Actions, and Turso to automate options trading for free, and compare it with managed platforms.
Wealth & AutomationA deep dive into constructing a multi-income portfolio as a developer. Compare index funds, REITs, P2P lending, tech freelancing, micro-SaaS, and automated trading.
Wealth & AutomationIs options trading actually profitable? Explore zero-sum dynamics, the Volatility Risk Premium, SEBI statistics, and the required reading syllabus.
Wealth & AutomationA comprehensive analysis of options spreads, index futures trend following, equity momentum, and Margin Trading Facility (MTF) leverage strategies for maximum win-rate and profit.
Wealth & AutomationA comprehensive breakdown of broker APIs, brokerage fees, AMC, and data costs (WebSocket feeds vs. historical candles) for automated trading in India.
Wealth & AutomationShould you write your own Python bot or deploy on managed platforms? Evaluate the trade-offs of cost, speed, and platform risk.
Wealth & AutomationStep-by-step setup guides for deploying no-code options strategies on AlgoTest and Tradetron using free plans.
Wealth & AutomationHow to design a zero-cost persistent state store for your trading bot using Turso edge databases and libSQL.
Wealth & Automation