Convex changes the architecture of real-time web applications. It takes experience to use it well.
Convex's reactivity model, transaction guarantees, and function composition are different enough from REST + PostgreSQL that developers who are new to it produce architectures that fight the platform. A developer who has shipped multiple production Convex applications knows the patterns that scale — and the anti-patterns that don't. Fixed scope, fixed price.
You want to build with Convex and need a developer who has shipped production Convex applications — not one who will spend the first 3 weeks learning the platform on your budget.
Convex is a backend-as-a-service platform with a distinctive architecture: the backend is defined as TypeScript functions (queries, mutations, and actions), the schema is defined in TypeScript, and the reactivity system means that UI components subscribed to a query automatically update when the underlying data changes. This is a genuinely different model from REST + PostgreSQL, and developers who are unfamiliar with it tend to produce architectures that misuse the platform.
The common Convex anti-patterns for developers new to the platform: overly granular queries that fetch one record at a time in a loop (the Convex equivalent of an N+1 query problem); mutations that perform logic that should be in actions (Convex mutations run inside transactions and have limits on what they can do — calling external APIs in a mutation is wrong); schema design that fights Convex's document model instead of working with it; and client-side state management that duplicates state already handled by Convex's reactive query cache.
The patterns that work well in Convex: queries that denormalize data into the shape the UI needs (avoiding client-side joins); mutations that update a single document or a small set of related documents atomically; actions for side effects that need to call external APIs (Stripe, email, webhooks); scheduled functions (cron jobs) for background processing; and file storage via Convex's built-in storage API.
A production application built on Convex with the correct schema design, query patterns, real-time subscriptions, and mutation strategies that the Convex platform enables.
Schema design for Convex's document model
Schema defined using Convex's `defineSchema` with appropriate types, indexes for the query patterns the application requires, and the denormalization decisions that keep queries fast without unnecessary joins.
Query and mutation architecture
Queries designed to return data in the shape the UI consumes (minimising client-side transformation). Mutations with appropriate validation, optimistic update support, and transaction atomicity. Actions for external API calls and side effects.
Real-time subscription patterns
`useQuery` for reactive data with correct dependency design. Pagination for large datasets (Convex's paginate API). Selective subscription to avoid over-fetching — only the queries that need reactivity use `useQuery`, non-reactive data uses server components where appropriate.
Authentication with Clerk + Convex
Clerk token passed to Convex for authenticated queries and mutations. `ctx.auth.getUserIdentity()` used correctly for user-scoped data access. The Clerk + Convex integration patterns that maintain stable subscription connections without the re-authentication burst problem.
Scheduled functions and background jobs
Convex's `scheduler.runAfter` and `scheduler.runAt` for delayed execution. Cron jobs for regular background processing. The patterns that make background jobs idempotent and observable.
One honest number to start.
Fixed-scope, fixed-price. The number below is the starting point — final scope is built from your brief.
A production application built on Convex with the correct schema design, query patterns, real-time subscriptions, and mutation strategies that the Convex platform enables.
Three steps, every time.
The same repeatable engagement on every project. No surprises, no mystery, no billable ambiguity.
Brief & discovery.
We send you questions, then get on a call. Output: a written scope with every step, feature, and integration listed.
Build & ship.
Fixed schedule, weekly reviews. No scope creep unless you change the scope — and if you do, we reprice it transparently.
Warranty & retainer.
30-day warranty on every launch. Most clients stay on a monthly retainer for ongoing features and maintenance.
Why Fixed-Price Matters Here
A Convex application has a defined schema, a defined set of query/mutation functions, and a defined client-side subscription architecture. Fixed scope, fixed price.
Related engagements.
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Read moreQuestions, answered.
Convex is the right choice when: the application has significant real-time update requirements (collaborative features, live dashboards, activity feeds); the team wants to minimise infrastructure management (Convex handles scaling, backups, and uptime); or the TypeScript-first backend model (everything typed from schema to client) is a priority. PostgreSQL + REST is the right choice when: the application has complex relational query requirements that don't fit Convex's document model; the team has deep SQL expertise; or there are regulatory requirements for data residency that Convex doesn't currently support.
Data migration from PostgreSQL to Convex is a common engagement type. The schema translation (relational schema → Convex document schema) requires careful design, and the data transformation (normalised relational data → denormalised document data) requires a migration script. The migration scope depends on the application complexity and data volume.
For multi-tenant applications, Clerk Organisations is the standard pattern — each tenant is a Clerk Organisation, membership in the organisation grants access to organisation-scoped data. Convex queries check `ctx.auth.getUserIdentity()` to get the authenticated user's organisation membership and filter data accordingly.
A production Convex application with auth, real-time features, and core functionality typically runs $25k–$55k. The Convex-specific architecture is included in the baseline, not a premium add-on.
8 to 12 weeks for a production Convex application from specification to deployment.
Tell Ryel about your project.
Describe what you’re building and what outcome you need. You’ll have a written, fixed-price scope within the week.