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Best Tech Stack for a mobile app MVP

My opinionated stack for a mobile app MVP, layer by layer, with why I'd pick each tool and what would change my mind. Adjust the answers to fit your team.

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1What are you building?

Used for the cost estimate link below. The stack itself comes from your answers.

2Who's building it?
3Where does it run?
4What does it need?
5Any regulated data?
6How big in year one?
7How tight is the budget?

Your stack

Tech stack for Mobile app

8 layers, picked for your answers. Boring where it should be, so your effort goes into the product.

Cost this out →
  • Mobile

    React Native with Expo

    One codebase for iOS and Android. Expo handles builds, signing and over-the-air updates, so a small team can ship both platforms.

    What would change my mind
    Heavy graphics, AR, or deep hardware integration, where native code earns its cost.
    Alternative
    Flutter
  • Backend / API

    Next.js route handlers + server actions

    No separate service to deploy: the API lives next to the UI and shares types with it. Plenty for an MVP and well beyond.

    What would change my mind
    Several clients (mobile, partners) hitting the API, long-running work, or a separate backend team.
    Alternative
    A standalone Node.js + Fastify service
  • Database

    PostgreSQL (managed: Neon or AWS RDS)

    Relational, transactional and boring. JSON columns cover the semi-structured bits, and pgvector covers embeddings if you add AI.

    What would change my mind
    Truly schemaless, write-heavy event data at very high volume. Add a specialised store for that slice only.
    Alternative
    MySQL, or MongoDB for document-shaped data
  • Auth

    Clerk

    Prebuilt sign-in UI, organisations, roles and MFA. Hours instead of weeks for a B2B-ready login.

    What would change my mind
    Per-user pricing at consumer scale, or a hard requirement to keep auth in-house.
    Alternative
    Auth.js (NextAuth)
  • Hosting

    Vercel

    Git push to deploy, preview URLs for every branch and no servers to manage, which is exactly what an MVP team needs.

    What would change my mind
    Long-running processes, heavy compute or strict data-residency requirements.
    Alternative
    Netlify, or Railway for a container
  • Background jobs

    Inngest or Trigger.dev

    Durable background functions with retries, schedules and a dashboard, written in the same TypeScript codebase.

    What would change my mind
    Very high throughput or strict data residency, which points to a queue in your own cloud.
    Alternative
    BullMQ + Redis
  • Analytics

    PostHog

    Product analytics, funnels, session replay and feature flags in one tool, with a generous free tier.

    What would change my mind
    A marketing-only site, where a simple privacy-friendly counter like Plausible is enough.
    Alternative
    Plausible (simple), or Mixpanel
  • Email

    Resend

    Reliable transactional email with a clean API and good deliverability defaults.

    What would change my mind
    Marketing campaigns and newsletters, which belong in a separate tool.
    Alternative
    Postmark

This is the stack I'd pick.

Want me to build on it? I ship MVPs on exactly this kind of stack.

Start with a scoping call
01

What makes a mobile app different

A mobile MVP is shaped by the app stores: release cycles, review times and offline-first expectations. One cross-platform codebase plus a managed backend keeps a small team shipping to both stores.

02

Risks to plan for

Store review delays

Every release waits on review. Over-the-air updates for JavaScript changes keep fixes fast.

Flaky networks

Users go underground and lose signal. Cache data locally and design every screen for slow or no connection.

Push notification plumbing

Tokens, permissions and per-platform quirks. Use a managed push service from day one.

03

The stack at a glance

With the preset answers for a mobile app (you can change them above), this is the stack layer by layer.

Recommended stack by layer
LayerPickAlternative
MobileReact Native with ExpoFlutter
Backend / APINext.js route handlers + server actionsA standalone Node.js + Fastify service
DatabasePostgreSQL (managed: Neon or AWS RDS)MySQL, or MongoDB for document-shaped data
AuthClerkAuth.js (NextAuth)
HostingVercelNetlify, or Railway for a container
Background jobsInngest or Trigger.devBullMQ + Redis
AnalyticsPostHogPlausible (simple), or Mixpanel
EmailResendPostmark

Want the price tag too? Run the same product through the Mobile app cost estimate.

04

Questions founders actually ask

React Native or Flutter for an MVP?
React Native with Expo if your team knows TypeScript or you also have a web app, because you can share code and types. Flutter if the team already knows Dart.
Do I need a custom backend for a mobile app?
Often not at first. A managed backend like Supabase or Firebase covers auth, data and storage until the business logic gets complex.
When is native worth it?
When the app depends on heavy graphics, AR, background location or new OS features on day one, or your team is already native.
Why does the picker recommend boring technology?
Because an MVP's job is to find out whether people want the product. Mature, widely used tools have answers on the first page of search results, easy hiring and few surprises, so your risk stays in the product rather than the infrastructure.
Is this stack good enough to scale?
For the vast majority of startups, yes. Postgres, a mainstream framework and managed hosting carry companies a long way. When something does need to change, it's usually one layer at a time, and the picker shows what would trigger that change.
05

Stack by product type

Or start from a blank slate with the full tech stack picker.

06

More from the workbench

01 · Plan & scopeMVP Cost EstimatorPick features and who builds it. Get an hour-by-hour estimate, not an agency teaser.12 · Plan & scopeIdea → MVP SpecDescribe the idea. Get user stories, a must/should/won't list, a data model and a 6-week plan.02 · AI & LLMsLLM API Cost CalculatorYour monthly bill across Claude, GPT, Gemini and open models, side by side.

Fine print

Tools: on the house.
Engineer: by the hour.

The opinion was free. The implementation is where I come in.

I'm Himanshu, an AI and full-stack engineer. I build MVPs, AI agents and the growth plumbing around them for early-stage startups.

Hire me →My projects