What Is a Tech Stack?
A tech stack is the collection of technologies used to build and operate a software product, including its frontend, backend, database, hosting and supporting services.
Read answer →Startup & developer Q&A
Short, practical answers with links to deeper guides and calculators.
How Do I Choose a Tech Stack?
Start with product requirements, team skills, time to market, budget and expected scale. Pick technologies you can maintain and measure rather than optimizing for theoretical scale.
Read answer →What Is the Best Tech Stack for a SaaS?
There is no universal best stack. A common starting point is a React/Next.js frontend, PostgreSQL, managed authentication, a payment provider and managed hosting.
Read answer →What Database Should I Use for a Startup?
PostgreSQL is a strong default for many SaaS products because users, organizations, subscriptions and permissions are naturally relational. Requirements should decide the final choice.
Read answer →What Is the Best Backend for a SaaS?
A backend should make business logic, authentication, integrations and data access easy to maintain. Node.js is one practical choice, but the team's expertise and requirements matter more than the language.
Read answer →How Much Does It Cost to Build a SaaS?
The answer depends on development scope, team, infrastructure and integrations. Separate one-time development costs from recurring operating costs and model several usage scenarios.
Read answer →How Much Does an AI API Cost?
AI API costs generally depend on model, input tokens, output tokens and request volume. Calculate monthly input and output usage separately and verify the provider's current pricing.
Read answer →What Is an MVP?
An MVP is the smallest useful version of a product that can test an important business or product assumption with real users.
Read answer →Should a Startup Use Microservices?
Usually not by default. A modular monolith is often simpler for an early product. Introduce separate services when scaling, team boundaries or operational requirements justify the complexity.
Read answer →Should I Use PostgreSQL or MongoDB?
Choose based on your data model and query requirements. PostgreSQL is a strong default for relational SaaS data; MongoDB can fit document-oriented workloads and teams that prefer that model.
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