App Development · MVP

MVP development: real users on the product at the end of week two.

Fast-to-market MVP builds for founders and internal pilots — your MVP live to real users at the end of week two, then iteration to GA over two weeks to two months depending on complexity. Scope locked at week zero, demos twice a week. AI accelerates the boilerplate; senior time goes to what makes your product yours.

Project · LaunchPad MVP
MVP week 2 · then iterate
active
Week 1 of 813%
Active · week 1in progress
Auth + scaffold + schema
Sign-up · login · data model · CI/CD live
Demos 1-2 · auth and schema working
Recent milestones1/7 hit
WK1
Auth + scaffold + schema
Sign-up · login · data model · CI/CD live
WK2
MVP live
Core happy path in production · real users on it
WK3
Iterate on real feedback
Changes driven by observed behaviour, not opinion
Next demo · Tue 14:00 SGT
stakeholder review · 30 mins · live product
4

What we build

Scope discipline. Ship cadence. Real users.

An MVP that actually ships. Demos twice a week, real users on the product at the end of week two, GA anywhere from there to two months out. AI ships the boilerplate; the parts that make your product yours stay hand-built.

Scope locked at week zero

Feature cut-list agreed before week one. No 'while we're in there' scope creep, no feature lists drafted on Friday. The build ships what was scoped — no more, no less.

Demos twice a week · not quarterly reveals

Tuesday and Friday, you see a working build. Real product, real flow, real data. On a two-week MVP there is nowhere for a slipping build to hide — you see drift on day three, not at the reveal.

Real users in week two

Your MVP is in front of real users at the end of week two — not a clickable prototype, but a deployed product with auth, a database and monitoring behind it. Every decision after that point is informed by what real users actually did, rather than by what the room believed in the kickoff.

MVP in week two, then iterate

Week two is the MVP, not the finish line. What follows is scoped to complexity: a focused build can stop there, while richer products iterate on real feedback and harden toward GA over the following weeks. Two weeks to two months, end to end.

Architecture that can outlive the MVP

Modern stack from day one — Next.js, Postgres, Stripe, Datadog. If the MVP earns its keep, you don't rebuild from scratch in year two. The foundations grow with the product.

AI accelerates the boilerplate

Schema scaffolding, CRUD, form validation, test fixtures — generated and reviewed fast. Senior engineering time goes to the parts that make your MVP yours, not the parts that look the same on every project.

How we build an MVP

Six phases. MVP in two weeks. AI-accelerated, human-reviewed.

Scope freeze at week zero. Auth, schema and CI/CD in week one. MVP live to real users at the end of week two. GA anywhere from there to about two months out, depending on integrations and compliance. AI ships the boilerplate fast; senior time goes to the architecture and the domain calls that make the difference.

00

Scope freeze + cut-list

Week 0
  • Feature cut-list agreed · what ships, what doesn't
  • Persona + happy-path traced
  • Architecture decisions locked · stack, hosting, auth
AI-accelerated: persona research synthesised, competitor flows mapped, schema candidates drafted from your domain.
01

Auth + scaffold + schema

Week 1
  • Sign-up · login · base layout shipped
  • Data model + migrations live
  • CI/CD and observability wired from day one
AI-accelerated: auth scaffolding, CI/CD config, schema migrations and CRUD endpoints generated and reviewed inside week one.
02

MVP live to real users

Week 2
  • Core happy path working end-to-end in production
  • First real users on the deployed product
  • Feedback loop and analytics running
AI-accelerated: form validation, test fixtures and edge-case catalogues generated so week two goes to the flow that makes the product yours.
03

Iterate on real feedback

Week 3–4
  • Changes driven by observed user behaviour, not opinion
  • Edge cases handled · empty / error / loading states
  • Scope re-cut against what users actually used
AI-accelerated: session patterns summarised, drop-off points surfaced, support docs drafted from real interactions.
04

Harden + launch prep

Week 5–6
  • Performance + accessibility green
  • Onboarding tuned to what real users struggled with
  • Marketing-ready · public sign-up flow live
AI-accelerated: copy variants drafted, accessibility audits run on every PR, perf regressions caught pre-merge.
05

GA + handoff

Week 7–8
  • Public launch · monitoring runbooks shipped
  • Integrations and compliance work where scoped
  • Iteration cadence · retainer or clean handoff
Continuous: AI evals on critical flows · drift monitoring · audit trail per release for compliance.

Built with AI · reviewed by humans

AI ships the boilerplate fast. You ship to real users sooner.

AI accelerates schema migrations, CRUD endpoints, form validation, test fixtures, accessibility audits, perf checks. Senior engineer time goes to your domain logic, the UX decisions, the architectural calls. The result: 3-5x build velocity without trading reliability for speed.

  • Every line reviewed by a named senior engineer before merge
  • AI evals on critical flows · regressions caught pre-deploy
  • Audit trail per release · compliance-grade from day one
  • First demo end of week one · MVP live to real users week two
week 4 demo · launchpad-mvp
✓ shipped this sprint
+ Sign-up + onboarding · happy path live
+ Core flow · stub edges · 2 personas
+ Sentry + PostHog · perf + product analytics
+ Stripe checkout · 2 plans live
~ in pilot
~ 12 pilot users · 4 active daily · 1 paying
~ feedback: copy too dense on day-2 email
→ next demo · Tue 14:00 · pilot iteration shipped

What MVPs we ship

Four MVP shapes. Tap to see the kind of product we ship.

B2B SaaS, marketplace, AI product, internal pilot — same scope discipline, four different product flavours. Tap a tab to see what is live at the end of week two.

A small SaaS shipped end-to-end · landing → sign-up → core flow.

B2B SaaS · MVP shipped week 2

Inbox triage that doesn't require a person.

Connect your inbox. AI tags every message, drafts replies, and surfaces what actually needs attention.

Founder · early access
Single plan · MVP scope
$24/ user / month

7-day free trial · cancel anytime

  • Connect Gmail or Outlook · OAuth
  • AI tagging · 5 default categories
  • Auto-draft replies · 3-tone styles
  • Daily digest · what needs attention
  • Priority queue · learns from your behaviour
Real users · from week 2

First time inbox at zero in 6 months.

Maya · founder · B2B SaaS · 18 employees

AI tagging is shockingly accurate.

Alex · ops lead · Marketplace · 12 employees

Drafts feel like I wrote them — but didn't.

Priya · solo founder · AI product · pre-seed

Where MVPs land

Founder builds. Internal pilots. AI validation.

Pre-seed founders, internal-pilot enterprises, AI-product validation builds, fundraising milestone builds, pivot rebuilds. Same discipline; same speed; output that ships to real users.

01

Founder MVPs

Pre-seed and seed-stage founders shipping their first product to real users — fast enough to learn, robust enough to scale if it works.

02

Internal pilots at enterprises

Internal prototypes proving a thesis before the platform team commits 18 months of roadmap. Same discipline, same speed, same docs.

03

AI-product validation

Validating an AI feature or product hypothesis with a working build users can react to — not a Figma deck or a Loom demo.

04

Pre-fundraising milestones

Founders building toward a fundraise milestone — usage metrics, working demos, traction proof. Clear scope from week zero, ship discipline through to demo day.

05

Pivot or relaunch builds

Existing products that need a v2 rebuild after a pivot or strategic shift. Same architecture discipline as a fresh MVP, faster because the domain is known.

06

Concierge MVPs

Concierge or human-in-the-loop MVPs where the product is partly automated and partly people-powered — fastest path to learning before full automation.

Tech stack

Modern stacks. Architecture that outlives the MVP.

Picked for production-grade scale on day one. If your MVP earns its keep, you grow on the foundation — not rebuild from scratch in year two.

Layer
Why we picked it
Tools
Frontend
Modern React stacks with server components and edge deploys. The same toolchain we ship the Axccelerate site on — proven, fast, hire-able if you grow the team.
Next.js 16React 19TailwindshadcnFramer Motion
Backend + database
Type-safe schemas, code-reviewed migrations. Postgres as the default; Redis for caching and queues. Skip the trendy NoSQL — your data has shape, treat it that way.
Node 22PostgresDrizzletRPCRedis
Auth + access
Production-grade auth on day one. Sign-up, login, password reset, SSO-ready for when enterprise comes calling. Hosted auth providers — don't build this from scratch.
ClerkSupabase AuthAuth0NextAuth
Hosting + ops
Picked per workload. Vercel for Next.js front-ends, Fly or Render for stateful workloads, AWS when compliance demands it. Not because it's trendy.
VercelFly.ioRenderAWSCloudflare
Observability + analytics
Error tracking, perf monitoring, product analytics. Wired in week one so you know what's broken and what users do — before they tell you.
SentryPostHogDatadogVercel Analytics
AI integration
Multi-model orchestration where AI features live in the product. Prompt registry, eval harness, audit logs. Reliability layer from /ai-automation/ai-infrastructure.
ClaudeGPTVercel AI SDKCustom orchestration

Why Axccelerate for MVP development

Not a demo throwaway.
A GA-ready build.

An agency ships you a working app you'll rewrite in year two. Our system ships an MVP whose architecture grows with you — production-grade auth, observability, AI features, all from day one.

Feature
Axccelerate
Freelance / agency
In-house
Scope locked at week zero · cut-list agreed
Varies
Demos twice a week · real product · not slides
Varies
MVP live to real users in week two
AI-accelerated build · 3-5x velocity
Varies
Modern stack · architecture outlives MVP
Varies
Varies
Production-grade auth + observability day-one
Senior engineer named per build · not pool
Varies
AI features wired with eval + audit
GA-ready output · not a demo throwaway
Varies
Varies
No vendor lock-in · your code, your stack
Varies

Pricing

Priced to your scope — not pretend hourly rates.

MVP builds are time-boxed and scope-disciplined. We cost against your scope, complexity, and timeline before quoting.

Sprint
Enquirefor pricing
2 weeks · MVP only

The focused scope — single user role, one happy path, real users at the end of week two. For founders who need something live and learning immediately, not a quarter from now.

1 user role · core happy path
Auth + database + payments
MVP live to real users · week 2
Production deploy · monitoring
Handoff docs + runbook
Enquire for pricing
Most popular
Launch
Enquirefor pricing
MVP week 2 · GA by week 6

The common shape — MVP live in week two, then a month of iteration against what real users actually did, hardening to a public launch. Multi-role flows and AI features included.

Multi-role · richer flows
AI features with eval harness
MVP live to real users · week 2
4 weeks iterating on real feedback
GA launch · marketing-ready
Enquire for pricing
Scale-up
Enquirefor pricing
MVP week 2 · two months to GA

The complex scope — custom integrations, compliance requirements, multi-tenant foundations. The MVP still lands in week two; the integration and compliance work is what extends the runway to roughly two months.

MVP live to real users · week 2
Custom integrations + compliance
Multi-tenant foundations ready
AI orchestration + audit trail
Senior engineer + PM dedicated
Enquire for pricing

FAQ

Common questions.

Don't see your question here?

Ask us directly

Glossary

The vocabulary behind every MVP build.

A quick reference for the terms that show up in scope discussions, pilot reviews, and demo cadences — the language your team will use during the build.

MVP
Minimum Viable Product

The smallest version of your product that delivers real value to real users. Scope is the discipline; the goal is learning, not feature-completeness.

Cut-list
Scope-discipline document

The list of features explicitly NOT shipping in v1 — agreed up-front so 'while we're in there' doesn't blow up the timeline. The most valuable doc in any MVP build.

Happy path
Primary success flow

The shortest path from user landing to user getting value. The MVP ships the happy path end-to-end first; edge cases come after.

Concierge MVP
Human-in-the-loop product

A product where some flows are automated and others are people-powered (often the founders themselves). Fastest way to learn before full automation; common in marketplace and AI builds.

Wizard of Oz
Faked-backend MVP pattern

An MVP where the user sees automation but a human is doing the work behind the scenes. Validates demand before you build the automation.

Pilot user
Pre-launch real user

A real user who tries the MVP before public launch — typically friends, design partners, or paying-but-patient customers. They are on the product from the end of week two, so their feedback shapes everything after it.

GA · General Availability
Public launch

The point where the MVP opens to the public — marketing-ready, monitoring tuned, support runbook live. Distinct from pilot, which is invite-only.

Demo cadence
Twice-weekly stakeholder reveal

Tuesday and Friday demos of the actual product to founders, investors, or stakeholders. On a two-week MVP the short loop is the control — drift shows up on day three rather than at a reveal.

Stack
Tech stack picked at week 0

The set of frameworks and services the MVP runs on — Next.js, Postgres, Stripe, Sentry, Vercel. Picked once at scope freeze; doesn't change mid-build.

Time-box
Fixed-duration commitment

A commitment to ship within a fixed time window — the MVP at two weeks, GA anywhere from there to two months — regardless of scope discoveries. Forces priority calls; protects against indefinite slippage.

Pivot
Strategic direction change

A material change to the product hypothesis based on learnings. With the MVP live in week two, pivots surface in week three rather than month three — which is the entire point of shipping early.

Handoff
Build-team to ops-team transfer

The moment the build is complete and ownership transfers to your in-house team or stays with us on retainer. Ships with runbooks, docs, and a 30-day support window.

Time-boxed · AI-accelerated · GA-ready

Scope the MVP.
Ship to real users.

30-minute scoping with a senior engineer. You'll leave with a cut-list, demo cadence, and realistic timeline — not a sales pitch.