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★ Marketplace · stack

Best Tech Stack for a marketplace MVP

My opinionated stack for a marketplace 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 Marketplace

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

Cost this out →
  • Frontend

    Next.js (React + TypeScript)

    Server rendering for SEO, file-based routing and the biggest React ecosystem. TypeScript end to end catches whole classes of bugs before users do.

    What would change my mind
    A purely internal tool with no SEO needs, where a plain Vite + React single-page app is simpler.
    Alternative
    Vite + React SPA, or Remix / React Router
  • Backend / API

    Separate TypeScript API service (Node.js + Fastify)

    A dedicated service you can scale, monitor and audit on its own, sharing TypeScript types with the frontend.

    What would change my mind
    An early MVP with modest traffic, where Next.js route handlers inside the web app are enough.
    Alternative
    NestJS, or Go for a hot path
  • 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)
  • Payments

    Stripe (Razorpay if your customers are mostly in India)

    Checkout, subscriptions, invoices and webhooks with the best docs in the business. Marketplaces use Stripe Connect for payouts.

    What would change my mind
    A market or payment method Stripe doesn't serve well, or merchant-of-record needs (tax handled for you), where Paddle or Lemon Squeezy fit.
    Alternative
    Paddle (merchant of record)
  • 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
  • Realtime

    Pusher Channels or Ably

    Managed WebSockets: add live updates and presence without operating connection servers.

    What would change my mind
    Very high message volume, where pricing pushes you to run your own.
    Alternative
    Socket.IO on your API service
  • 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 marketplace different

A marketplace is two products on one database, plus money moving between them. Payouts, seller onboarding and trust (reviews, disputes) shape the architecture more than the listing pages do.

02

Risks to plan for

Payout complexity

Split payments, refunds after payout and seller KYC. Lean on Stripe Connect instead of moving money yourself.

Search quality

Buyers leave if they can't find supply. Postgres full-text search is fine early; plan for a search service when filters multiply.

Messaging scope

Real-time chat is expensive to build well. Start with email notifications and reply links if you can.

03

The stack at a glance

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

Recommended stack by layer
LayerPickAlternative
FrontendNext.js (React + TypeScript)Vite + React SPA, or Remix / React Router
Backend / APISeparate TypeScript API service (Node.js + Fastify)NestJS, or Go for a hot path
DatabasePostgreSQL (managed: Neon or AWS RDS)MySQL, or MongoDB for document-shaped data
AuthClerkAuth.js (NextAuth)
PaymentsStripe (Razorpay if your customers are mostly in India)Paddle (merchant of record)
HostingVercelNetlify, or Railway for a container
RealtimePusher Channels or AblySocket.IO on your API service
Background jobsInngest or Trigger.devBullMQ + Redis
AnalyticsPostHogPlausible (simple), or Mixpanel
EmailResendPostmark

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

04

Questions founders actually ask

What payment setup does a marketplace need?
A platform account that can pay out to sellers, which is what Stripe Connect is for. It handles onboarding, identity checks and payouts so you don't hold other people's money.
Do I need a separate search engine?
Not at launch. Postgres full-text search and good indexes go a long way. Move to a dedicated search service when you need typo tolerance, facets and ranking at volume.
Web or mobile first for a marketplace?
Web first for most, because it's indexable and shareable. Add mobile when one side, often supply, needs it for day-to-day operations.
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

06

More from the workbench

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.