Deep dives
In-depth, no-fluff guides for founders and operators. Each one ships a downloadable skill for your AI agent.
The intellectual property deep dive: patents, trademarks, secrets and how to actually use them
A long-form, sourced field guide to IP for founders, operators and investors: the types of protection and what each really covers, how IP works around the world, what filing costs and takes, when it goes to litigation, how co-design, licensing and partnerships work, and the live AI frontier. Written for smart non-lawyers.
Where to incorporate: Delaware, your own country, or somewhere else — an honest, unbiased guide
Most advice on where to incorporate is written by people who profit from you choosing Delaware. This is the balanced version: when a US C-corp is genuinely right, when it's an expensive mistake, the real case for incorporating in your own country, and how taxes, talent, fundraising, control and exit should actually drive the decision.
Product-market fit: the only thing that matters, and how to tell across every kind of business
A horizontal, example-rich field guide to product-market fit: what it really is, how you know you have it (and how you know you don't), how to measure it, and what it actually looks like across SaaS, marketplaces, consumer, fintech, devtools, hardware, deep tech and AI, with the named companies, numbers and pivots behind each.
The startup sales deep dive: from founder-led calls to the first sales team
A practical, sourced field guide to startup sales: first customers, discovery, cold calling, cold email, demos, voice, mirroring, psychology, pricing, closing, procurement, sales tools, team building, games and drills.
The go-to-market deep dive: from first users to durable growth
A practical, sourced field guide to startup go-to-market: founder-led selling, cold outbound, relationships, paid acquisition, product-led growth, community, launches, waves, sector playbooks and the long work of keeping momentum alive.
Vibecoding: the foundations, and how to choose your path
The tool-agnostic foundation of building real software with AI: what vibecoding is, the three ways to do it, the mental model that keeps you out of trouble, and a map to the focused guides for tools, the hosted path, the full-control path and security.
Choosing your vibecoder: every AI building tool, compared
An honest, tool-by-tool tour of how to build with AI in 2026: the app builders (Lovable, Bolt, v0, Replit), the AI IDEs and agents (Cursor, Claude Code, Antigravity, Copilot, Codex, Grok), how to choose between them, and how usage limits and pricing really work.
The all-in-one path: vibecoding with Replit, Lovable and Bolt
The fastest path to a live product: let the platform host everything. What Replit, Lovable and Bolt genuinely handle for you, the application security you still own even when it is all managed, going live with a custom domain, and when to graduate to running your own stack.
The full-control path: fullstack vibecoding with your own server and Claude Code
Own the whole stack. The engineering half of vibecoding: a multi-provider workflow, architecture that contains mistakes (modularization, contracts, tests, git), why AI hallucinates code and how to stop it, subagents and orchestration, and going from localhost to a live domain you control.
Security for vibecoded apps: the vulnerabilities you ship, and the fixes
The guide you cannot skip. Why AI-built apps leak, and a plain-language walkthrough of the vulnerabilities they ship: exposed secrets and API keys, trusting the frontend and price tampering, broken access control, injection, leaking user data, and forgotten doors, each with a concrete fix and a pre-launch checklist.
Your second brain: a personal knowledge OS and the LLM wiki
From the first note to an AI you can ask: build a second brain and a personal LLM wiki. What a knowledge OS really is, the tools (Obsidian, Notion, Logseq, Tana) and how to choose, why owning your notes matters, how links make a graph, and how to put an AI over your knowledge so you interrogate it instead of searching it.
The startup SEO deep dive: what actually ranks, with real case studies
A long-form, sourced field guide to SEO for data-rich startups in 2026. Ten chapters of real case studies (Zapier, Wise, Crunchbase, NerdWallet, CB Insights, G2 and more), the tactics behind them, and the mistakes that get a whole domain demoted.