Library

James Clear

The clearest practical guide to building habits that compound. The identity-first framing in the habits module borrows directly from this book.

Charles Duhigg

The cue–routine–reward loop, told through stories. A great companion to Atomic Habits if you want the why behind the mechanics.

Jason Zweig

Neuroeconomics applied to investing: why smart people make irrational financial decisions and what to do about it. Endorsed by Daniel Kahneman. The neuroscience complement to Barber & Odean's empirical evidence.

Morgan Housel

Why behaviour matters more than math in personal finance. Short chapters, deeply re-readable. Shapes how Alapty frames saving and investing.

JL Collins

The case for low-cost index investing, written like a letter to his daughter. The intellectual backbone of the Investing module.

Ramit Sethi

A practical, opinionated playbook for setting up your money — automation, conscious spending, no guilt. Strong on the "boring works" thesis.

Stephen R. Covey

A principles-based framework for personal and professional effectiveness. The inside-out approach — character before technique — is a useful counterweight to purely tactical productivity advice.

Peter C. Brown, Henry L. Roediger & Mark A. McDaniel

Evidence-based learning science: why re-reading and highlighting feel productive but don't work, and what actually does — retrieval practice, interleaving, and spaced repetition. Directly applicable to anyone working through this platform's modules.

Daniel Kahneman

The definitive guide to how we make decisions — the fast, intuitive System 1 and the slow, deliberate System 2. Essential for understanding why we overspend, over-trade, and underestimate risk. The theoretical foundation behind much of the platform's behavioural framing.

Satchin Panda

Time-restricted eating and circadian biology: how the timing of food, light, and sleep shapes metabolic health. Practical, research-backed, and a strong complement to exercise-focused health books.

Gabrielle Lyon

The case for muscle-centric medicine: why skeletal muscle is the organ of longevity and how protein and resistance training should anchor any long-term health strategy. A rigorous counterpoint to calorie-restriction-first thinking.

Matthew Walker

The cheapest intervention in fitness, argued at book length. Some specifics have been debated, but the core message stands.

Sean Carroll

Carroll argues that the Many-Worlds interpretation is the simplest and most honest reading of quantum mechanics — and that physicists have spent decades avoiding this conclusion. A rigorous but readable entry point into quantum foundations, written for curious non-physicists.

Jay Alammar & Maarten Grootendorst

A practical, visual book on how LLMs actually work and how to use them. Good follow-on if the "mental model" section made you want more.

Andrew Huberman

Long, dense episodes on the neuroscience of sleep, exercise, and behaviour. Useful for the curious — skip with a critical ear for hype.

RealInvestmentAdvice.com

Daily market analysis, macro economics, and portfolio strategy from Lance Roberts and the RIA team. Deeper and more tactical than most personal-finance podcasts — good for investors who want week-by-week context on asset allocation without the noise of financial media.

Steven Bartlett

Long-form conversations with entrepreneurs, scientists, and researchers across health, mindset, habits, and business. Andrew Huberman, Matthew Walker, and many of the authors in this library have appeared as guests. One of the broadest-range shows for people interested in evidence-based self-improvement.

Mel Robbins

Practical, science-backed episodes on confidence, mindset, relationships, and habits. Mel Robbins is direct and actionable — less theory, more "do this today." A useful counterpart to longer-form shows when you want a concrete framework you can apply immediately.

Gollwitzer, P. M. & Sheeran, P.

The definitive meta-analysis (94 studies, 8,000+ participants) showing that specific "if-then" plans produce a medium-to-large effect on goal achievement (d ≈ 0.65) by shielding goals from distraction, temptation, and impulse. The scientific backbone behind structured habit planning.

Barber, B. M. & Odean, T.

Landmark Journal of Finance study on 66,000 households: average individual investors underperformed the market by ~1.5% per year; the most active traders lost ~6.5% annually relative to the index. The empirical case that undisciplined, high-turnover investing destroys wealth — and why a clear investment philosophy matters.

Lance Roberts & Michael Lebowitz

Weekly macro and technical analysis, portfolio strategy, and market commentary. Filterable by author and topic. The written companion to The Real Investment Show — useful for investors who prefer reading over listening or want to reference specific analysis.

Simon Willison

One of the most honest, hands-on running commentaries on what LLMs can and cannot do. Excellent grounding for the AI module mental model.

Richard P. Feynman, Robert B. Leighton & Matthew Sands

The complete three-volume introductory physics course Feynman delivered at Caltech (1961–64), freely readable online. Volumes I–III cover mechanics, electromagnetism, and quantum mechanics. Unmatched for building physical intuition — read any chapter you're curious about, not necessarily cover to cover.

Brilliant.org

Interactive courses in mathematics, CS, physics, and logic — built to develop intuition through problems rather than passive reading. Starts from first principles; adaptive difficulty. Useful for filling gaps in formal education or re-learning topics that felt opaque the first time.

Grant Sanderson

Visual explanations of mathematics and physics: linear algebra, calculus, neural networks, quantum mechanics, and more. The animation-first approach makes abstract structures genuinely easy to see. Freely available; a reliable first stop when a mathematical concept isn't clicking.

Massachusetts Institute of Technology

Over 2,500 actual MIT courses — lecture notes, problem sets, exams, and videos — available free with no registration. Covers engineering, mathematics, physics, economics, and humanities. Useful as a reference library: look up the MIT treatment of any topic you want to understand at depth.

University of Helsinki & Reaktor

Free, browser-based introduction to AI for non-experts — no maths or coding required. Covers what AI is, how machine learning works, and the societal implications. Over 2 million participants; developed by the University of Helsinki. The right conceptual foundation before going deeper.

Andrew Ng · DeepLearning.AI

Andrew Ng's non-technical course on how AI changes work and strategy — 2.5 million enrolled, 4.8/5 on Coursera, free to audit. Covers what AI can and cannot do, how to spot viable AI projects, and how to think about the shift. The most-cited entry point for non-engineers who want to reason clearly about AI.

DAIR.AI

A comprehensive, constantly-updated reference for getting better results from any LLM — zero-shot, chain-of-thought, RAG, agents, and more. Browser-based, no account needed, 49k+ GitHub stars. The practical companion to the AI module: read the techniques that match the tasks you actually do.