Convex is a genuinely different backend model. Most tutorials teach you to fight it.
Convex's reactive query model, transaction guarantees, and TypeScript-first function architecture are the features that make it the right choice for real-time collaborative products. They're also the features that developers new to Convex misuse — producing architectures that fight the platform instead of leveraging it. We've shipped multiple production Convex applications. Fixed scope, fixed price.
You want to build on Convex and need a developer who understands the platform's architecture — queries, mutations, actions, the scheduler, and the real-time subscription model.
Convex's reactive query model inverts the typical web application data fetching pattern. In a REST + PostgreSQL application, the client makes a request when it needs data; the server processes the request and returns a snapshot. In a Convex application, the client subscribes to a query; Convex re-runs the query and pushes the new results whenever the underlying data changes. This is the feature that makes Convex the right choice for collaborative applications, live dashboards, and real-time activity feeds.
The developers who are new to Convex and produce architectures that fight it are typically doing one of two things: treating Convex queries like REST endpoints (fetching a single record by ID in each query, doing N queries per page load instead of one query that joins the data the page needs); or using Convex mutations to call external APIs (Stripe, email, webhooks), which is wrong — Convex mutations run inside transactions and have hard limits on execution time and side effects.
The correct Convex patterns: queries that return data in the exact shape the UI consumes (denormalised across related tables using Convex's getMany or index-based joins); mutations for writes that need atomicity (updating related documents in a single transaction); actions for side effects that call external APIs (triggered from mutations via scheduling, not called directly from the transaction); the scheduler API for background processing and delayed execution.
A production application built on Convex with the schema design, query patterns, and real-time subscription architecture that makes Convex the right choice over REST + PostgreSQL.
Schema design for Convex
`defineSchema` with appropriate field types, indexes defined for the query patterns the application will use, and the document structure decisions that balance read performance (denormalize for fast queries) against write complexity (more fields to update on changes).
Query architecture
Queries that return the complete data shape the UI needs in a single subscription. Index-based lookups for O(1) document access. Pagination for large datasets via Convex's `paginate` API. Reactive queries (`useQuery`) for components that need real-time updates; non-reactive server-side fetches where real-time isn't required.
Mutation and action separation
Mutations for writes with transaction guarantees — updating multiple related documents atomically. Actions for external API calls, file processing, and side effects that aren't appropriate for Convex's transaction model. The scheduler for background jobs and delayed mutation triggers.
Clerk + Convex authentication
Clerk JWT template configured for Convex in the Clerk dashboard. `ctx.auth.getUserIdentity()` in Convex functions for user-scoped data access. The stable `getToken` reference pattern (using a ref to mirror Clerk's `getToken` rather than wiring it directly to Convex's `fetchAccessToken`) that prevents subscription burst re-authentication.
File storage
Convex's built-in file storage API for uploads — `storage.generateUploadUrl()` for client-side uploads, `storage.getUrl()` for signed download URLs. The alternative to an external S3 bucket for most use cases.
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 schema design, query patterns, and real-time subscription architecture that makes Convex the right choice over REST + PostgreSQL.
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 functions, and a defined subscription architecture. Fixed scope, fixed price.
Related engagements.
Convex changes the architecture of real-time web applications. It takes experience to use it well.
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Read moreQuestions, answered.
Convex is better when: the application has significant real-time update requirements (collaborative editing, live activity feeds, multi-user state); the team prioritises developer velocity over operational complexity (Convex handles infrastructure, PostgreSQL doesn't); or the TypeScript-first end-to-end type safety from schema to UI is a priority. PostgreSQL + REST is better when: complex relational queries that don't fit the document model are required; data residency requirements can't be met by Convex's current infrastructure; or the team has deep SQL expertise that would be more productive in a SQL environment.
Convex has per-document and per-query limits. Large datasets are handled via pagination (`paginate`) and efficient index design. For very large datasets (millions of records), the pagination model and index design become important performance considerations. Applications with dataset sizes that approach Convex's limits are evaluated during the specification process.
Convex can serve as the complete backend for most web applications: it handles the database, real-time subscriptions, server-side function execution, file storage, and scheduling. The cases where Convex is used alongside other infrastructure: specific third-party integrations that require a separate web server (Stripe webhooks require an HTTPS endpoint that Convex HTTP actions provide), or existing backend infrastructure that the Convex application integrates with rather than replaces.
A production Convex web application with Clerk auth, real-time features, and core functionality typically runs $25k–$55k. Fixed-price.
8 to 12 weeks from specification to production 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.