MVP Cost in 2026: Real Numbers From $5K to $50K

A senior engineer with current AI tooling can ship in days what used to take weeks. Not faster typing. The typing item collapsed entirely. The architectural decisions, the security model and the edge cases still take the human's full attention. Everything else is cheap now.

So a quote written 18 months ago is wrong. Here's the price sheet we actually quote against in 2026.

The five tiers

$5K: one flow, real production, no compromise on stack

Auth, one core user flow end to end, real domain, monitoring, Stripe wired if money's involved. No admin beyond the data you must look at. No multi-tenant. One persona, one job.

Seven to ten days. Stack is fixed at this price: Next.js, Postgres, Vercel or AWS, Resend, Stripe, Sentry. We don't bill for stack-selection meetings at the bottom of the range.

Use this tier if you have 20 to 50 real users who'll touch the artifact. Don't use it if you're "validating an idea". Go talk to people, don't write code.

$10K to $15K: two personas, real admin, integrations

Two user types, working admin panel, basic team data model, one or two third-party integrations. Two to three weeks. Same stack. One post-launch scope round inside the price.

Most founders with a clear spec land here.

$20K to $30K: production SaaS foundation

Multi-tenant from day one with row-level isolation. Stripe subscription with proper webhooks, dunning, proration. Customer admin, internal admin, role-based access. SSO-ready architecture. Audit log.

Four to six weeks. A specialist (design or DevOps) rotates in for a week if needed. Code in your GitHub, infra in your AWS or Vercel.

If you're past validation and paying customers will hit it from day one, this is the right tier.

$35K to $50K: second surface

Everything above plus one of: mobile app on both stores, AI features with RAG and evals, public API with docs and SDKs. The second surface determines where you land in the range.

Six to ten weeks. Two specialists rotate. We're explicitly not a fixed-headcount team. AI agents handle the boilerplate so human time stays on architecture, security, and the edge cases the model gets wrong.

Above $50K: bespoke

If the work is genuinely $60K+, we still quote flat-price but won't pretend the playbook is identical. You get a paid scoping week (credited against the main quote) before we commit a number. Sometimes we recommend you hire instead. Sometimes both.

Where the $5K number actually comes from

Six years ago this tier didn't exist. The change isn't cheaper engineers. It's that the boilerplate-shaped work that used to fill an engineer's sprint stopped being boilerplate.

Stripe wiring with webhooks, customer portal, dunning and proration was two days, now four hours. Auth from scratch with magic links, password reset and session management was four hours, now thirty minutes. The admin scaffold that ate a week of CRUD typing is now half a day of code-gen plus an hour of cleanup.

What's left is the work AI gets wrong: data model decisions, RLS policies, the security model, the edge cases that don't show up in a happy-path prompt. That work didn't get cheaper. Everything around it did.

A $5K MVP isn't a discount $30K MVP. It's a senior engineer spending all their billable hours on the parts that matter.

The exact workflow that makes this work is in How we use Claude Code in production.

Where the math breaks

The price sheet doesn't apply if any of these are true:

• You need offline-first sync across clients. CRDTs, conflict resolution. Hard to AI-through. Labor floor that doesn't compress.
• The stack is one we haven't worked on. Elixir, Rust, embedded. We'd be learning your stack on your dime. We don't take that work.
• Regulated from day one. HIPAA, PCI L1, SOC 2 at launch. Compliance is a labor floor.
• Hard real-time. Sub-100ms p99 across many clients. Different shape of work.
• Spec changes weekly. Flat price assumes stable scope. If you're still arguing what the core flow is, talk to users before writing code.

In those cases we either quote a different shape or recommend you hire.

The five questions before any MVP quote

Ours or anyone else's:

• Flat or hourly? Hourly means the shop has zero incentive to use AI tooling that compresses work. Walk away.
• Code ownership when? Day one means your GitHub org from commit one. After handoff means lock-in until you pay.
• Who specifically does the work? Named senior, or a "team" billing seniors but assigning juniors?
• First-deploy date in writing? Vague means scope will slip.
• What happens if scope is wrong? We eat it. Most agencies pass it back as a change order.

Compared to the obvious alternatives

"All-in" = base + 25% benefits + payroll tax + recruiter fee amortized + onboarding ramp. People usually quote just the base. The base is half the real cost.

The no-code AI tier is real and getting better. It falls apart on anything with a non-trivial data model, custom auth, billing edge cases, or a third-party integration that isn't pre-baked. We use Lovable for landing pages. We wouldn't ship a SaaS on it.

Where to go from here

Per-city pricing context: Atlanta · Miami · Austin · Seattle.

Engagement-model detail: Why we don't take equity.

Hire-vs-engage math for your stage: Hire vs Engage 2026.