Startup & developer guides

Practical, decision-focused guides for founders and developers choosing technologies and planning software costs.

How to Choose a Tech Stack for a Startup in 2026

A practical framework for choosing frontend, backend, database, hosting, AI and payment technologies without overengineering.

A practical SaaS architecture covering frontend, backend, database, authentication, payments and hosting.

How founders can choose a fast, maintainable technology stack for a first product.

A practical architecture for AI applications using model APIs, databases, retrieval and scalable infrastructure.

A realistic framework for estimating development and monthly infrastructure costs for a SaaS.

Understand development, hosting and model API costs for AI applications.

Compare Vercel and Netlify for frontend deployment, serverless features, workflows and startup use cases.

A framework for choosing between leading AI model APIs based on task, cost, latency and application requirements.

A practical guide to defining, building and measuring a first software product.

Avoid overengineering, hidden costs, poor data modeling and other common startup technology mistakes.

Understand recurring infrastructure costs for a small, growing and larger SaaS.

Learn how token pricing, request volume and model choice affect AI API bills.

A practical checklist covering product infrastructure, security, analytics, payments, SEO and launch readiness.