💼 Career 🔗

A personal framework for career growth, high-leverage time management, task workflows, and email triage.

🎯 Goals 🔗

📚 Continuous Learning: Dedicate time to learn weekly.
🚀 Growth: Actively work towards career advancement.
⏱️ Time Management: Manage time efficiently on a daily basis.

⏳ Time Management 🔗

I write down all tasks so I can free up my working memory to focus strictly on the current task. I trust that my system will remind me to review other tasks periodically. This approach is heavily inspired by David Allen’s book, Getting Things Done.

📋 Task Management 🔗

I use Google Keep for notes because it is seamlessly convenient to edit on both my laptop and phone. I maintain several core lists:

Inbox: Lists unprioritized tasks and raw ideas. For example, if I have an idea outside of working hours or during a meeting, it goes straight to the Inbox.
Next: Tasks ordered by priority. These can include extra context such as deadlines, what is blocking the task, and by which date I should recheck it.
Recurring (Daily / Weekly / Monthly): Routines and tasks I must do every day, week, or month.
Project Lists: Individual projects get their own Inbox and Next lists. For some collaborative projects, I use Google Docs for these lists (better for collaboration, though slightly less convenient on mobile).

My Daily Workflow:

I start every workday going over the Daily list.
Next, I process the Inbox: I do the quick items immediately, and move the rest to prioritized spots in the Next list.
Finally, I work through the Next list. If a task requires working on a specific project, I shift over to that project’s specific Inbox/Next lists.

(Note: I use an analogous list system for my personal life on my personal Google account.)

📧 E-mail Triage 🔗

I read my e-mail inbox only on my phone and only once per day. I classify e-mails so I can deal directly with the important ones when I’m back at my laptop.

I use 3 simple Gmail labels:

🔴 u (Urgent): For e-mails I want to address as soon as I get to my laptop. Processing these is a dedicated task on my Daily list.
🟡 w (Waiting): For e-mails I send that need an answer. Reviewing these is on my Weekly list to decide if I should follow up or give up.
🔵 n (Next/Later): For e-mails I want to address later (e.g., watching a video of a tech talk). Processing these is a task on my Monthly list.

Pro-tip: On my laptop, I keep a single browser tab open with label:u Gmail search results to see when someone replies to an important thread. I avoid looking at the main Inbox from my laptop to preserve that time for more important tasks.

📝 Posts 🔗

🚀 Career & Productivity 🔗

📝 Redefining Conversational Styles: My Take on 'The Church of Interruption'
Breaking down conversation into two distinct axes—how we speak and how we listen—reveals four conversational archetypes and explains why some conversations flow while others fail.
📝 The Shortest Path: What a Childhood Game Teaches Us About Career Growth
A career isn't a straight upward line—it's a game of Snakes and Ladders. Here is how to identify your accelerators, avoid pitfalls, and design your optimal path.
📝 Beyond the Paycheck: A Framework for Meaningful Work
Inspired by Paul Graham's essay on the intersection of passion and career, here is a framework for unlearning bad habits and navigating toward work that actually energizes you.
📝 Upgrade Your Decision-Making: A Beginner's Guide to Mental Models
Popularized by investors like Charlie Munger, a mental model is a cognitive framework that helps you quickly filter information, simplify complexity, and make intelligent choices.
📝 How to Do Work That Matters: Lessons from Richard Hamming
In his famous talk, 'You and Your Research,' Richard Hamming distilled his observations into a masterclass on the traits, habits, and mindsets that separate good work from truly great achievements.
📝 The Ultimate Guide to Stress-Free Task Management
Our brains are excellent at creating ideas, but terrible at storing them. Here is a five-step framework for managing your workflow and reclaiming your peace of mind.
📝 Think Like a Consultant: The Ultimate Guide to Structured Problem-Solving
When faced with ambiguous, high-stakes business challenges, professionals don't rely on gut instinct—they rely on a structured problem-solving framework.
📝 Mastering Executive Communication: A Guide to Driving Action
When communicating with busy executives, the goal is simple: motivate action. Here is a three-step framework for structuring your communication to effectively drive decisions.
📝 7 Undeniable Traits of Future High-Achievers
Sustained success rarely happens by accident. Here are seven undeniable habits, mindsets, and behaviors that indicate you are wired for long-term success.
📝 Why Individual Contributors Hit Roadblocks (And How to Keep Moving)
As an Individual Contributor in tech, the path to seniority isn't just about writing better code. Here are the common behavioral traps and friction points that cause ICs to get stuck and how to navigate them.
📝 Beyond the Job Description: Why Your Role is Bigger Than Your Tasks
While a task-oriented mindset is common, it can limit your career growth and your organization's success. Here are three perspective shifts to maximize your value and impact at work.

🧮 Math & Science 🔗

📝 Max Dama on Automated Trading - Brain Teasers (Enhanced Edition)
An original study guide and worked solution set for quantitative trading brain teasers inspired by Max Dama's automated trading notes, covering market making, Kelly betting, probability, mental math, and logic.
📝 The Recursive Pareto Principle: The Mathematical Path to Mastery
What happens when you apply the 80/20 rule recursively to the remaining work and benefit? Here is the math behind diminishing returns and the path to mastery.
📝 Cracking the IQ Test: 18 Questions, Answers, and Explanations
An analytical walkthrough of 18 cognitive reasoning puzzles—covering verbal classification, analogies, number sequences, spatial rotation, and formal syllogisms—with step-by-step explanations.
📝 Summary: The Feynman Lectures on Physics – Algebra
A summary of Chapter 22, Volume I of The Feynman Lectures on Physics, exploring how mathematical rules can be abstracted and generalized from counting to Euler's formula.
📝 The Career Bet: Choosing Your Prize vs. Your Odds
Every major career decision is a calculated wager between the size of your prize and your percentage chance of winning. Here is how to set the dials as your bankroll grows.
📝 Pareto Salary: Price's Law and Compensation
If the square root of people produce half the value under Price's Law, how many times higher than the average salary should top performers be compensated as a company scales?
📝 One Order of Time Faster: The 3x to 5x Rule of Leverage
If you were one order of time faster than someone else—delivering monthly work in a week or quarterly work in a month—you need to be 3x to 5x faster through leverage, not brute force.
📝 Bringing Math to Life: Understanding the Quadratic Equation
How the quadratic equation translates into parabolas on the coordinate plane, with an interactive graph to explore each coefficient in real time.
📝 Step-by-Step Derivation of the Quadratic Formula
How we get from the standard quadratic equation to the quadratic formula by completing the square, explained step by step.
📝 The Elegance of Euler: My Favorite Mathematical Formulas
Leonhard Euler had an unparalleled ability to build bridges between seemingly unrelated areas of mathematics. Here is a collection of my favorite Euler formulas and divergent series.

💻 Software Engineering & Tech 🔗

📝 Coding with AI: Why Every Developer Is Becoming an Engineering Manager
Why integrating AI coding agents shifts your daily engineering leverage from writing syntax to writing watertight specifications, reviewing diffs, and delegating without micromanaging.
📝 When Your Decade-Old April Fools' Joke Sounds Like a Product Launch
Reflecting on the 2014 Google Testing Blog satire 'The Real Test Driven Development,' its Hacker News resurgence, and how AI coding agents turned test-driven program synthesis into reality.
📝 Propositional Logic Proofs Using Lean 4: A Practical Guide
A technical walkthrough of fundamental propositional logic concepts and their formal implementation using the Lean 4 programming language and theorem prover.
📝 Mastering LeetCode Hard: 7 Complex Solutions Explained
Breaking down 7 LeetCode Hard problems in Go—covering factorials, dynamic programming, tree DFS, backtracking heuristics, bitmask BFS, prefix sums, and Union-Find.
📝 The Best XKCD Comics About Software Engineering (With Context)
A categorized and contextualized selection of the best xkcd comics about software engineering, security, math, and the developer mindset.
📝 Controlling Whitespace in Go Templates: Nested Loops
How to eliminate unwanted blank lines when formatting nested data structures in Go's text/template package using template trim markers.
📝 How to Keep Go Unit Test Logs Clean: Only Log Failed Inputs
Make failing Go unit tests easier to debug by capturing logs in a buffer and printing them only when a test case fails.
📝 Unit Testing: Commands vs Mocks in Go
How to handle external dependencies in Go unit tests—comparing moving code to main, dependency injection with mocks, and the Command Pattern.
📝 Exploring the Expression Problem in Go with Generics
How to approach the Expression Problem in Go using generics, referencing the Featherweight Go paper and examining the limitations of struct-level type constraints.
📝 Get Sorted Keys From Map in Go Using Generics
How to implement a clean, reusable generic function in Go that extracts and returns sorted keys from any map using cmp.Ordered and slices.Sort.
📝 FizzBuzz in Too Much Detail: A Go Perspective
How to progressively refactor FizzBuzz in Go, from basic conditionals to data-driven structs, closures, higher-order functions, and concurrency with channels.
📝 The Perfect Seating Chart: Solving the Leadership Summit Problem in Go
How to assign people to multiple rounds of table discussions maximizing interactions using a backtracking algorithm in Go.
📝 The New Yorker: The Friendship That Made Google Huge - Key Takeaways
When reading The New Yorker's profile on Jeff Dean and Sanjay Ghemawat, the breakdown of Google's engineering hierarchy provides a great mental model for career progression in tech.
📝 4 Game-Changing Lessons from 'Software Engineering at Google'
Fergus Henderson’s widely read paper, Software Engineering at Google, offers a fascinating look at the engineering culture, tools, and processes that allow teams to manage complexity and maintain code health over time.
📝 Twenty-Nine Bytes to Say Hello: Golfing 'Hello, World!' in SuperHack
A write-up of hacker.org's 'Super Small Hello World' challenge: the solutions that worked, the ones that almost did, and the trick that finally reached 29.
📝 The Sixteen Faces of Logic: All Possible Boolean Functions with Two Inputs
This article explores these 16 fundamental logical operations, categorized by their complexity and importance in digital design.

🏢 Startups & Business Strategy 🔗

📝 The Strategy Illusion: Are You Making Plans or Just Making Wishes?
Most organizations don't actually have a strategy—they have a wish list of goals. True strategy, as pioneered by Richard Rumelt, requires diagnosing reality, setting a guiding policy, and coordinating coherent actions.
📝 The Mechanics of Startup Wealth: Value, Scale, and Effort
Many people dream of achieving significant financial independence, but few understand how extreme wealth is generated through value creation, measurement, and leverage.
📝 The Organic Approach to Finding Startup Ideas: Stop Brainstorming and Start Noticing
The most successful founders rarely start with a forced brainstorming session. Here is how to shift your mindset from trying to invent startup ideas to organically discovering them.
📝 How to Find and Validate Business Ideas Customers Actually Want
We often fall in love with our own ideas, assuming that if we build it, customers will follow. Here is a practical guide to finding and validating business ideas that people are eager to pay for.
📝 Building the Ultimate Bootstrapped Business: Escaping the Scale Trap
Bootstrapping requires a fundamentally different architecture than the VC playbook. Here is Jason Cohen's blueprint for reverse-engineering a predictable, self-funded micro-business.
📝 Deconstructing Naval Ravikant's Philosophy on Wealth Creation
In his famous thread 'How to Get Rich (without getting lucky),' Naval Ravikant laid out a foundational philosophy on how wealth is actually generated in the modern economy.

📚 Download My Free Ebook 🔗

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💬 Comments & Discussion 🔗

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Updated on Oct 11, 2026.

DISCLAIMER: The content on this site is for informational and educational purposes only and does not constitute medical, psychological, financial, investment, tax, or legal advice. The ideas, curation, and opinions presented here are my own and do not represent those of my employer. Book, lecture, and article summaries are independent educational commentary and remain the intellectual property of their respective authors. AI tools may be used to assist with editing, formatting, and synthesis; while every effort is made to ensure accuracy, errors may occur. PRIVACY: This site uses third-party services for comments (giscus / GitHub Discussions) and embedded media (YouTube), which may process visitor IP addresses and cookies in accordance with their respective privacy policies.