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Connaitre les dernières innovations et les techniques pour monter rapidement son saas en ligne.

Why build a SaaS in 2026?
Technical foundations are now commodities and AI agents are changing how products get built — the real challenge left is finding a real problem worth paying for.
How to build a SaaS with NeoSaaS
A practical walkthrough from installing your instance to launching your commercial offer, without rebuilding what NeoSaaS already provides.
What to consider before launching your SaaS project
Problem clarity, willingness to pay, pricing model, compliance, infrastructure — the questions to answer before writing a single line of code.
B2B or B2C SaaS: what criteria should decide?
Support volume, pricing, architecture, marketing — B2B and B2C SaaS don't just differ commercially, they need genuinely different technical foundations.
What does launching a SaaS from scratch really cost?
Rebuilding authentication, billing, and compliance by hand costs far more than the initial development time — and every month spent on it is a month not spent validating the market.
The must-have features of a modern SaaS
Before your first paying client, a checklist of what actually matters: authentication, billing, admin panel, support, compliance, and multi-tenancy.
Choosing your tech stack: why Next.js, PostgreSQL, and Drizzle
A unified, transparent stack — one framework, one relational database, one ORM that hides nothing — beats a fragmented one for a small team building a durable SaaS.
Multi-tenancy: the key to scaling a B2B SaaS
Isolating client data properly from day one, not as an afterthought, is what lets a B2B SaaS scale to dozens of clients without a costly, risky retrofit.
Securing your SaaS from day one
Security isn't a step bolted on at the end — it's a set of habits (permission checks, encrypted secrets, audit logs, tenant isolation) designed in from the start.
The role of AI agents (MCP) in the new generation of SaaS
The Model Context Protocol is changing how a SaaS can be operated and evolved — not by a human alone, but with the help of supervised AI agents.