Resource Hub
Curated videos, courses, podcasts, articles, and papers for solo founders and AI builders.
Videos
6
Pieter Levels: Programming, Viral AI Startups, and Digital Nomad Life
Lex Fridman Podcast #440
Pieter Levels discusses building 40+ startups solo, reaching $200K+/month as a one-person company, and the indie hacking philosophy without VC funding.
The One-Person Business Model (How To Productize Yourself)
Dan Koe
Dan Koe breaks down the four pillars of a one-person business: goals, problems, content, and offer. The foundational framework for building solo.
The Best One-Person Business For Smart People (2025 & Beyond)
Dan Koe
Dan Koe's updated perspective on the creator economy and why one-person businesses are the best path for intelligent, curious people.
9 Passive Income Ideas - How I Make $27k per Week
Ali Abdaal
Ali Abdaal covers 9 passive income strategies for solopreneurs and creators — from digital products to YouTube to online courses. 13M+ views.
7 $1M+ AI Startup Ideas You Can Launch Tomorrow With $0
Greg Isenberg
Greg Isenberg breaks down 7 AI startup ideas that solo founders can launch with zero capital. Practical, actionable, and validated by real market demand.
6 Million Dollar Business Ideas (My First Million)
My First Million (Greg Isenberg, Shaan Puri, Sam Parr)
Shaan Puri, Sam Parr, and Greg Isenberg brainstorm million-dollar business ideas for solopreneurs in a live session.
Courses
4Full video course series. Scroll horizontally to browse all lessons.
Y Combinator Startup School
Y Combinator
Free lectures on building products, finding customers, and growing a company from the world's top accelerator.
How to Get and Evaluate Startup Ideas
How to Get Your First Customers
How to Build an MVP
How to Talk to Users
How to Pitch Your Startup
How to Plan an MVP
How to Get Meetings with Investors
How to Split Equity Among Co-Founders
How to Start a Startup (Stanford CS183B)
Sam Altman & Y Combinator at Stanford
Sam Altman's legendary Stanford course with 20 lectures from Peter Thiel, Paul Graham, Marc Andreessen, Reid Hoffman, and more YC partners.
Lecture 1 — How to Start a Startup (Sam Altman, Dustin Moskovitz)
Lecture 2 — Team and Execution (Sam Altman)
Lecture 3 — Before the Startup (Paul Graham)
Lecture 4 — Building Product, Talking to Users (Adora Cheung)
Lecture 5 — Competition is for Losers (Peter Thiel)
Lecture 6 — Growth (Alex Schultz)
Lecture 7 — How to Build Products Users Love (Kevin Hale)
Lecture 8 — How to Get Started (Stanley Tang, Walker Williams)
Lecture 9 — How to Raise Money (Marc Andreessen, Ron Conway)
Lecture 10 — Culture (Brian Chesky, Alfred Lin)
Lecture 11 — Hiring and Culture Pt 2 (Patrick & John Collison, Ben Silbermann)
Lecture 12 — Building for the Enterprise (Aaron Levie)
Lecture 13 — How to be a Great Founder (Reid Hoffman)
Lecture 14 — How to Operate (Keith Rabois)
Lecture 15 — How to Manage (Ben Horowitz)
Lecture 16 — How to Run a User Interview (Emmett Shear)
Lecture 17 — How to Design Hardware Products (Hosain Rahman)
Lecture 18 — Legal and Accounting Basics
Lecture 19 — Sales and Marketing (Tyler Bosmeny, YC Partners)
Lecture 20 — Later-Stage Advice (Sam Altman)
Neural Networks: Zero to Hero + LLM Practical Guide
Andrej Karpathy
Build neural networks from scratch, then learn to use LLMs effectively. Essential for AI builders — from theory to practice.
The Spelled-out Intro to Neural Networks and Backprop
The Spelled-out Intro to Language Modeling
Building makemore Part 1
Building makemore Part 2: MLP
Let's build GPT: from scratch, in code
Let's build the GPT Tokenizer
Let's reproduce GPT-2 (124M)
Intro to Large Language Models
Deep Dive into LLMs like ChatGPT
Stanford CS229: Machine Learning
Andrew Ng (Stanford)
The course that launched a million AI careers. Comprehensive foundation in machine learning theory and practice.
Lecture 1 — Welcome | Stanford CS229
Lecture 2 — Linear Regression and Gradient Descent
Lecture 3 — Locally Weighted & Logistic Regression
Lecture 4 — Perceptron & Generalized Linear Models
Lecture 5 — GDA & Naive Bayes
Lecture 6 — Support Vector Machines
Podcasts
6Lex Fridman Podcast
Lex Fridman
Deep conversations with AI leaders, founders, and scientists — Sam Altman, Elon Musk, Andrej Karpathy, Pieter Levels, and more.
Lenny's Podcast
Lenny Rachitsky
World-class product leaders on growth, strategy, AI, and product sense. Essential for solo founders building product.
The Tim Ferriss Show
Tim Ferriss
Tim Ferriss deconstructs world-class performers. Covers productivity systems, business building, and lifestyle design for high-leverage individuals.
How I Built This
Guy Raz (NPR)
Founders tell the story behind their companies — from zero to success. Airbnb, Spanx, Instagram, and hundreds more origin stories.
Acquired
Ben Gilbert & David Rosenthal
Deep dives into the greatest companies and deals in history — NVIDIA, Apple, Costco, Berkshire Hathaway. The best business strategy podcast.
The Startup Ideas Podcast
Greg Isenberg
Validated startup ideas broken down step by step. Focused on AI, SaaS, and internet businesses a solo founder can build.
Articles
7The One-Person Business Model That Will Replace Your Job
Dan Koe
Why the traditional job is dying and how a one-person business model — built on content, skills, and AI — is the future of work.
How To Monetize Yourself
Dan Koe
How to turn your skills, interests, and knowledge into a profitable one-person business. The step-by-step productization framework.
The Future Is Self-Education
Dan Koe
Why the education system is broken and how self-directed learning is the foundation of the one-person company era.
1,000 True Fans
Kevin Kelly
The foundational essay: creators don't need millions of followers — just 1,000 true fans. The philosophical bedrock of the one-person company.
How to Get Rich Without Getting Lucky
Naval Ravikant
Naval's legendary tweetstorm on building wealth through leverage, specific knowledge, and accountability. The intellectual foundation for solo founders.
How To Do Great Work
Paul Graham
Why curiosity matters more than discipline, and how to find your life's work. Deeply relevant for solo founders choosing what to build.
The Minimalist Entrepreneur
Sahil Lavingia (Gumroad)
Sahil Lavingia — who runs Gumroad with no full-time employees — on building a business that serves your life, not the other way around.
Landmark Papers
8Attention Is All You Need
Vaswani et al. (Google Brain, 2017)
Introduced the Transformer architecture — the foundation of GPT, Claude, and every modern LLM. Understanding this paper is understanding the AI era.
Scaling Laws for Neural Language Models
Kaplan et al. (OpenAI, 2020)
Model performance scales predictably with compute, data, and parameters — the insight that drove billion-dollar bets on LLMs.
Constitutional AI: Harmlessness from AI Feedback
Bai et al. (Anthropic, 2022)
Training AI to be helpful and harmless using AI-generated feedback. Key to understanding modern AI safety.
GPT-4 Technical Report
OpenAI (2023)
The model that proved LLMs could be genuinely useful for real work. Essential context for current AI capabilities.
ReAct: Synergizing Reasoning and Acting in Language Models
Yao et al. (Google/Princeton, 2022)
How LLMs can reason AND take actions — the conceptual foundation for AI agents like OpenClaw.
The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling
Masterman et al. (2024)
Comprehensive survey of single-agent and multi-agent architectures — reasoning, planning, and tool execution. The best overview of the AI agent landscape.
A Survey on Large Language Model based Autonomous Agents
Wang et al. (2023, updated 2025)
Unified framework for understanding LLM-based autonomous agents — from architecture to capabilities to applications.
AI Agent Systems: Architectures, Applications, and Evaluation
Various (January 2026)
The most recent comprehensive synthesis of emerging agent architectures — reasoning, planning, tool use, and real-world deployment patterns.