Articles exploring startup through the lens of behavioral science and experimentation. Practical frameworks for growth leaders who measure in revenue, not vanity metrics.
26 articles
The AI wrapper era is over. Solo builders shipping hyper-specific vertical tools win — not another ChatGPT skin with a logo on it.
Early SaaS founders perfect architecture for products nobody uses. The fix: find the first value moment before you build anything else.
The 50/50 co-founder split is a legacy risk. Solo founders now use AI agents as fractional hires — keeping 100% equity until product-market fit.
Clean code in the AI era is about context window management. No file over 200 lines, ever. Here's why that rule doubles shipping velocity.
Most non-execution is risk management in disguise. The fix: cut scope until shipping becomes the path of least resistance.
Unicorns aren't created by talent. They're created by systems that allow long-term compounding. Five constraints quietly decide the ceiling.
The best products come from founders who use their own product every day. Here is why dogfooding is the real competitive moat — and why AI coding tools have changed the math for non-technical founders forever.
When something works, double down. But never become dependent on a single acquisition channel. Here is how to scale what is working while protecting against algorithm changes and platform risk.
Atticus Li built Jobsolv from zero to 30,000+ users and $80K+ revenue without paid advertising. Here's the unglamorous playbook of product-led growth, channel diversification, and obsessive unit economics that actually worked.
Atticus Li built and managed a 27-member cross-functional team for Jobsolv while working full-time as experimentation lead at NRG Energy — coordinating a dev agency in Egypt, a UX/UI design agency, and freelancers across Upwork and Fiverr.
Before building Jobsolv's AI platform, Atticus Li validated the market by offering done-for-you resume services at $2,000-$3,000 per client, serving 26 clients with a 92.3% interview success rate, then scaling to 30K+ users and $80K+ revenue.
You do not need a team, a budget, or a full CRO function to run a disciplined growth operation. Here is how solo founders should think about experimentation, channel strategy, and shipping when every hour counts.
What it means to be an AI-native company in 2026. How to build an AI-first organization from culture to infrastructure to hiring.
A practical guide to AI safety for startup founders. What you need to know about responsible AI before shipping your product to users.
Learn how to use AI for user research on a startup budget. Practical methods to gather insights without hiring a dedicated research team.
Use AI to transform scattered product data into a clear roadmap. A practical framework for data-driven product planning that works for lean teams.
Learn how to use AI pricing intelligence tools to decode competitor strategies, track price changes, and make data-driven pricing decisions for your business.
Build your first AI feature with this step-by-step tutorial. From API setup to production deployment, a practical guide for developers.
Should your startup build or buy AI customer support? A practical framework for the build vs buy decision with real cost and timeline analysis.
How I shipped one meaningful feature every day for 30 days using AI coding tools. The process, the results, and what I learned about sustainable velocity.
Cut through AI hype with a practical guide for non-technical founders. What AI can actually do, what it can't, and how to evaluate AI tools for your startup.
Most AI products are thin wrappers around an API. Here's how to build AI features with genuine defensibility that survive the next model upgrade.
You don't need to be a senior engineer to evaluate AI-generated code. This checklist helps non-technical founders spot quality issues before shipping.
Running a startup with AI tools changes fundraising, hiring, product development, and go-to-market. Here's the new playbook for AI-native founders.
How solo founders use AI tools to match the output of a 5-person startup team. The complete AI stack for coding, content, design, and ops.
How shifting from manual coding to AI-assisted intent-based development changed my startup velocity and what I learned in the process.