Build · founder · 9 min read

How to Build a Marketplace Without Writing Code

The practical guide to building two-sided marketplaces using AI tools — from picking the right platform to handling payments and trust.

Published February 25, 2026 ·
marketplacefounderssaas

Marketplaces are the hardest category of product to build with AI tools. Not because the technology doesn’t work — it does — but because marketplaces have structural complexity that compounds quickly. Two user types, money moving between strangers, trust systems, matching logic. Each one is manageable. Together, they create something genuinely difficult.

This guide tells you what you’re actually getting into, helps you decide whether to build or buy, and walks you through the most pragmatic path if you decide to build.

Why Marketplaces Are Hard

A typical SaaS app has one user type. Marketplaces have two — buyers and sellers — with different dashboards, different needs, different email flows, and often different pricing. Every feature you build, you’re building twice.

Then there’s money. Marketplace payments aren’t simple: a buyer pays, you hold the funds, you release them to the seller, you take a cut. This is called a split payment or marketplace payout model. It requires Stripe Connect, not Stripe Checkout. Those are meaningfully different products with different setup complexity.

Trust is the third layer. When strangers transact through your platform, you need reviews, ratings, identity verification, dispute resolution, or some combination. Without these, you don’t have a marketplace — you have a bulletin board.

Finally, marketplaces live or die on the supply side. Your technical build could be flawless and your marketplace could still fail because you have no sellers. That’s a business problem, not a tech problem, but it’s worth naming before you spend three months building.

Should You Build or Buy?

Before reaching for Lovable or Bolt.new, ask yourself honestly: does a purpose-built marketplace platform solve 80% of my problem?

Consider a platform if:

  • Your marketplace fits a recognizable category (rentals, services, products, bookings)
  • You’re willing to work within its feature set for at least 12 months
  • You want to move in days, not weeks

Purpose-built platforms worth knowing:

  • Sharetribe — the best-in-class choice for rental and service marketplaces. Their hosted plan gets you live in a day. Not cheap at scale, but extremely complete.
  • Marketplacer — strong for product marketplaces with complex vendor management
  • Webflow + Memberstack + Stripe — works for simpler service directories that don’t require true split payments

Build with AI tools if:

  • Your marketplace has unusual logic that platforms can’t support
  • You need full control over the data model and UX
  • You have some technical resources (even a part-time developer who can handle infrastructure)
  • The category doesn’t fit any existing platform well

The honest recommendation for most first-time marketplace founders: try Sharetribe first. If you hit a wall in 30 days, then build. You’ll know exactly what you need by then.

The Core Technical Requirements

If you’re building custom, these are the components every marketplace needs:

Two user roles. In your database, every user needs a role — typically buyer, seller, or both. Every protected page needs to check that role before showing content.

Listings. Sellers create listings. Buyers browse them. Listings need status (draft, active, sold/booked), ownership, and search/filter capability.

Transactions. A record that connects a buyer, a seller, and a listing. Includes status (pending, paid, completed, disputed), amounts, and timestamps.

Stripe Connect accounts. Each seller needs their own connected Stripe account so they can receive payouts. This is non-negotiable for a real marketplace.

Messaging. Buyers and sellers need to communicate before and during transactions. Even a simple thread model is enough to start.

Reviews. After a completed transaction, both sides should be able to review each other. Reviews attached to transaction records, not just to users in general.

Step-by-Step: Building with Lovable

Lovable is the most practical AI builder for marketplaces because it handles auth and Supabase out of the box. Here’s the build sequence that works.

1. Start with user roles

Your first prompt should establish the data model:

“Create a marketplace app with two user types: buyers and sellers. Add a user_role field to the profiles table. Add a role selection screen after signup — users pick buyer or seller. The dashboard should be different for each role.”

Get this right before building anything else. Role logic is impossible to retrofit cleanly.

2. Build the seller side first

Sellers create supply. Without supply, there’s nothing to show buyers. Build:

  • Seller dashboard
  • Listing creation form (title, description, price, photos, availability)
  • Listing management (edit, pause, delete)

3. Build the buyer side

Once listings exist:

  • Browse/search page
  • Listing detail page
  • Inquiry or booking request flow

4. Wire up transactions

Create a transactions table before adding payments. Every transaction should record buyer_id, seller_id, listing_id, amount, status, and created_at. Payments will write into this table.

5. Add messaging

A simple messages table with sender_id, recipient_id, transaction_id, body, and created_at is enough. Scope messages to transactions — don’t let anyone message anyone freely at first.

The Payments Problem

This is where most non-technical marketplace builds hit a hard ceiling.

Standard Stripe Checkout sends money to your account. For a marketplace, you need money to flow to sellers via your account. That’s Stripe Connect, and it works differently.

With Stripe Connect:

  • Each seller creates a Stripe Express account (a simple onboarding flow Stripe handles)
  • When a buyer pays, you capture the full amount
  • You release funds to the seller’s Express account, minus your platform fee
  • Stripe handles KYC and payouts to sellers’ bank accounts

Lovable can scaffold the Stripe Connect integration if you prompt it carefully. The key prompts:

“Add a Stripe Connect Express onboarding flow for sellers. When a seller completes onboarding, store their stripe_account_id in the sellers table.”

“When a buyer completes checkout, use Stripe Connect to create a payment intent that splits the amount: 90% to the seller’s stripe_account_id, 10% to the platform.”

Expect this to require several rounds of iteration and probably some debugging. The payment flow is genuinely complex and AI builders don’t always get it right on the first pass. Budget time for it.

Trust and Reviews

The minimum viable trust system for a marketplace:

Reviews after completed transactions only. Don’t let users review each other until a transaction is marked complete. Attach every review to a transaction_id so you can verify it’s legitimate.

Visible ratings on profiles. Calculate average rating from completed reviews and show it prominently on seller profiles and listing pages.

Identity signals. Even low-friction signals help: “Email verified,” “Phone verified,” “Member since [year].” These aren’t security — they’re trust theater that actually works.

A dispute path. Even just an email address labeled “Got a problem? Contact us” is better than nothing. Buyers need to know there’s a human somewhere.

When You’ve Hit the Ceiling

There are things you will not be able to build reliably with AI tools in a marketplace context:

  • Complex availability and booking logic (overlapping time slots, resource conflicts, calendar sync)
  • Multi-currency with live FX rates
  • Escrow with conditional release (hold funds until a milestone is confirmed)
  • Regulatory compliance (money transmission licenses, certain financial products)
  • Scale — AI-built code often has N+1 query problems that don’t matter at 10 users but hurt at 10,000

When you hit these walls, the right move is to hire a developer who can audit and extend what you’ve built — not to start over. The Supabase database and the Stripe Connect accounts you’ve set up are real infrastructure. A developer can work with them.

The AI builder gets you to revenue. The developer gets you to scale. That’s the sequence that works.

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