Estimate what it costs to build your SaaS MVP — and how long it takes — across no-code, freelancer, and agency builds. Free, private, no sign-up.
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Cost is set by scope, and scope is set by how ruthlessly you cut.
The same product idea can be a six-week build or a nine-month one depending entirely on what survives the feature list. That is the variable the Parix.ai MVP estimator makes visible.
The most expensive misunderstanding in software: an MVP is not a small version of the finished product.
It is the smallest thing that proves whether people want it. Those are different, and the difference is usually the difference between eight weeks and eight months.
If a feature does not test the core assumption, it is not part of the MVP — however obvious it seems that the product will eventually need it. The MVP Feature Prioritizer forces that decision.
Number of features. Everything else follows from this.
User roles. Two roles is not twice one role — permissions multiply.
Integrations. Each one has its own auth, edge cases and failure modes.
Custom versus component design. A library moves fast; bespoke does not.
Whether it is AI-native. AI features add a running cost per user, not just a build cost — a different budget shape entirely.
Eight to twelve weeks is realistic for a focused MVP.
Under six weeks usually means the scope was too small to validate anything. Beyond six months usually means the scope was never cut, and by the time it ships the assumption it was meant to test has changed.
| Phase | Share of the timeline |
|---|---|
| Discovery and scoping | 1–2 weeks |
| Design and architecture | 1–2 weeks |
| Build | 4–6 weeks |
| Testing and QA | 1–2 weeks |
| Launch prep | Runs alongside the last two |
The build is paid once. The run is paid every month — hosting, infrastructure, and for AI products, model usage.
Teams estimate the first reasonably well and the second badly. An AI-native product with meaningful usage can carry a monthly cost that changes whether the pricing model works at all, and that is worth knowing before you build rather than after. Price it with the LLM Token Cost Calculator and the API Cost Calculator.
Manual is fine at first. If ten customers need onboarding, do it by hand. Automate at a hundred.
One user role. Admin panels can wait.
Buy authentication, payments and email. Nobody has ever chosen a product for its login screen.
Skip the settings page. Configurability is the most expensive feature nobody asked for.
Founders pricing a first build. Product teams deciding what makes the cut. Investors sanity-checking a use-of-funds slide. Our SaaS product team scopes against a cut feature list rather than a wish list.
Enter the features you believe are essential, then remove the ones that do not test the core assumption. The second number is the real one.
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