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Marketplace Development Services
Two sides,one trusted platform
We build two-sided marketplaces for founders and operators connecting buyers with sellers, providers or owners, including listings, search, bookings, split payments, payouts and the trust features both sides rely on.
We design a marketplace around its transaction, then build the supply, demand and payment flows that make that transaction easy to repeat.
Platforms where both sides can transact safely
- 01Two-sided platforms
- 02Split payments
- 03Trust and safety
A marketplace is harder than a store because it serves two groups with different needs and moves money between them. We build service marketplaces, rental and sharing platforms, B2B procurement portals and niche vertical markets. That covers onboarding for each side, listings and search, booking or ordering, messaging, reviews, commission and fee logic, payouts through Stripe Connect and identity checks.
Build custom when your model does not fit a ready-made marketplace tool, for example unusual pricing, bookings with deposits, regulated participants or matching that is your real advantage. For a first version we focus on one transaction type and the minimum each side needs to complete it, because liquidity matters more than features early on. Operations tooling is planned from the start.
Talk to us about your projectCapabilities, End to End
What It Looks Like When It Ships
From Kickoff to Launch
We define who the two sides are, what they exchange, how money and commission flow and which rules govern cancellations and disputes. This transaction model drives every later design and engineering decision.
We cut the first release down to one complete transaction loop, from listing to payout and review. Features that only matter at scale are noted on the roadmap and left for later.
Supply and demand flows are designed and built in parallel, with payments in test mode from the first sprint. You try real transactions on staging as each part of the loop is completed.
We go live with monitoring on payments, search and messaging, onboard your first suppliers with you, and use funnel data from both sides to decide what to build or change next.
Built for Teams Like Yours
What buyers ask before they start
If yours is not here, ask us directly. The first conversation is free and useful whether or not we work together.
Book a callIf you are still testing whether the market exists, a hosted marketplace product or no-code setup is a sensible way to learn cheaply. Build custom once you have evidence of demand and the tool limits you, typically on payment flows, booking rules, matching, fees or integrations. We can also start from an open-source base and customize it, which sits between the two options.
We normally use Stripe Connect. Sellers are onboarded as connected accounts, with Stripe collecting the identity and bank details it requires. When a buyer pays, the charge is split so your commission and fees are separated from the seller's share, and funds can be held until the service or delivery is confirmed. Refunds, disputes and payout schedules are handled by rules we configure with you.
Trust features are designed around the risks of your specific market. Common building blocks are identity verification at onboarding, reviews that can only follow a completed transaction, listing moderation, in-platform messaging with reporting, payment holds and limits for new accounts. We integrate fraud tooling from the payment provider and give your operators a console to investigate cases. Policies remain your decision, and we implement them.
Enough for one type of transaction to complete end to end. That usually means onboarding for both sides, listings, search, a booking or order flow, payment with payout, basic messaging, reviews and an admin console. Advanced matching, mobile apps, loyalty features and deep analytics can wait until you see real usage. A narrow first release also makes it easier to seed supply in one segment.
We choose an architecture that fits the first release and does not block growth. That means a relational data model with clear boundaries, search in a dedicated index, background jobs for payouts and notifications, and stateless services that can be scaled out. We avoid building for hypothetical volume upfront, and instead add caching, queues and capacity when monitoring shows where the pressure is.
