First principles
Start with the real problem, actors, constraints, data, failure modes, and trade-offs before picking tools.
Case Notes for SaaS builders
Real product problems. Practical architecture. Zero-cost starts. AI-first scale. We investigate how modern SaaS systems are designed, built, measured, and grown.
Start with the real problem, actors, constraints, data, failure modes, and trade-offs before picking tools.
Build lean first. Use free and low-cost infrastructure until the product earns its complexity.
Add AI where it improves workflows, context, and decisions — with guardrails, auditability, and human control.
Latest investigations
Case Files
A practical system design breakdown of an applicant tracking candidate pipeline, from actors and states to audit logs and AI-first workflows.
Zero-Cost Stack
A practical comparison of GitHub Pages, Vercel, and Cloudflare Pages for a fast, cheap, SEO-friendly technical blog.
Zero-Cost Stack
A practical starting stack for SaaS builders who want to launch lean, stay fast, and avoid premature infrastructure costs.
Content pillars
System design and architecture investigations from real SaaS problems.
Lessons from building SaaS products in public, without fake guru energy.
Practical AI workflows, agents, guardrails, and product decisions.
SQL, product metrics, dashboards, and data engineering for SaaS builders.
Founder-friendly infrastructure choices before you actually need scale.