CRM on Nuxt 4, Postgres (Neon) and Clerk

Nuxt 4 (framework mode): full-stack Vue SSR: client under app/ (Vite), server under server/ (Nitro), API as server/api/*.post.ts Nitro route handlers.

Postgres on Neon via Drizzle ORM and the postgres-js driver.

Clerk: hosted identity (sign-in UI, sessions, user management) mounted via middleware + provider.

Sales CRM: companies, contacts, named pipelines, deal-stage tracking, and an append-only activity trail.

Database client

import { drizzle } from "drizzle-orm/postgres-js";
import postgres from "postgres";

// Neon pooled endpoint = PgBouncer transaction mode → prepared statements off.
// ponytail: single module-level client; the serverless runtime + PgBouncer do
// the pooling, so no custom pool/globalThis singleton dance needed.
const client = postgres(process.env.DATABASE_URL!, { prepare: false });

export const db = drizzle({ client });

account records (companies de-duped on domain) and the contacts that belong to them, with nullable company FK to support unattached leads

named sales pipelines and the opportunities (deals) moving through them, each carrying a contact FK, an owner FK to Better Auth user, and amount stored as integer cents

stage column on deals enforced by CHECK constraint with an index that powers pipeline-board grouping by stage

append-only calls/emails/notes logged against a deal by a Better Auth actor, forming the per-deal audit timeline

Client/server split: the DB client, Drizzle schema, records, and webhooks are server-side (server/). The `@/` alias is the client root (app/); server code reaches shared modules via Nuxt's `~~` rootDir alias (e.g. `~~/server/db/schema`).

The API layer is Nitro, Nuxt's server engine: endpoints are server/api/*.post.ts route handlers, and auth mounts as a Nitro catch-all that delegates to the auth library's framework-agnostic web handler.

Nuxt auto-imports components and composables at runtime, but the emitted server code imports h3 helpers (defineEventHandler, toWebRequest) EXPLICITLY — the one deliberate idiom trade so the handlers type-check under standalone tsc instead of relying on the auto-import magic.

Session gating runs in a Nitro server middleware (server/middleware/), which fires on every SSR and API request — the true security boundary, and a real server-side session check rather than a cookie-existence peek.

prepare: false is mandatory — Neon's pooled endpoint is PgBouncer in transaction mode, where server-side prepared statements break across the pool.

Drizzle is paired here (not Prisma): Prisma's prepared-statement reliance is incompatible with transaction-mode pooling.

Hosted: Clerk owns identity and does NOT create a local `user` table. Store `clerk_user_id` as text without a foreign key, or sync Clerk users into a local table via webhook before relying on FKs to `user`.

Route protection is clerkMiddleware() + auth.protect() in the Next proxy (getAuth() in a React Router loader, or event.context.auth() on Nuxt) — logged-out users bounce to Clerk's hosted sign-in, so there are no self-hosted auth pages to build or maintain.

Keeping the local mirror in sync is a webhook job: a svix-verified webhook route replays user.created / user.updated / user.deleted idempotently into the local `user` row, so app-type foreign keys to `user` resolve even though Clerk is the source of truth.

ClerkProvider (client) wraps the app so the hosted <SignIn/> / <UserButton/> components and hooks work; the publishable key is read client-side, while the secret key is only ever read server-side by clerkMiddleware.

Deal stage is text + CHECK ('lead','qualified','won','lost') on the deals table — new stages ship without an ALTER TYPE migration; the idx_deal_stage index drives the pipeline board's 'deals grouped by stage' query.

activities is append-only (no updates, no deletes cascaded from deal): the per-deal timeline is always a raw log, never a mutated summary, queried via idx_activity_deal_time (deal_id, occurred_at).

Clerk is a hosted identity provider and does not create a local `user` table. This schema's foreign keys to `user` assume a local identity table (as Better Auth provides). With Clerk, store `clerk_user_id` as a text column without a foreign key, or sync Clerk users into a local `users` table via webhook before relying on these FKs.

CRM

Five tables carry the sales layer, and the spine runs companies → contacts → deals → activities. Each link is a foreign key with a deliberate delete rule: contacts.company_id is nullable and ON DELETE SET NULL, because a lead exists before you know their employer and losing an account record should not take the person with it; deals.contact_id cascades, so deleting a contact takes their opportunities and, through activities.deal_id, the interaction trail underneath them. deals.pipeline_id has no delete rule at all, which means the database refuses to drop a pipeline that still holds deals — a pipeline is configuration, and silently emptying a board is worse than an error. Identity is borrowed, never declared.

Better Auth owns user, and this schema references user.id three times: contacts.owner_id and deals.owner_id name the rep accountable for a record, activities.actor_id names whoever logged the call. Those columns are text rather than uuid because Better Auth's user.id is text, and recasting it would break the constraint. Two columns are constrained instead of typed. deals.stage and activities.type are text with CHECK constraints — deals_stage_check over lead/qualified/won/lost, activities_type_check over call/email/note — so shipping a 'negotiating' stage is a constraint swap rather than an ALTER TYPE mid-deploy. Money is amount_cents, a bigint of integer cents, so a forecast is exact addition with no float anywhere near it. companies.domain gets an index but not a unique: it is the key you de-duplicate accounts on, not a rule that prevents two Acme rows.

The consequence of this shape is that it is record-scoped, not tenant-scoped. There is no organizations table, no row-level security, no billing and no metering; 'my deals' means owner_id = me, expressed in your query rather than enforced by the database, and owner_id is indexed on contacts but not on deals. What you get cheaply is the board and the timeline: idx_deal_stage buckets every deal by stage, and idx_activity_deal_time (deal_id, occurred_at) returns one deal's history already in order, out of a table nothing is designed to update.

Nuxt 4

Nuxt 4 in framework mode is the one stack here with two roots. Client code lives under app/ and is what `@/` points at (Vite, Vue single-file components); server code lives under server/ and is run by Nitro, Nuxt's server engine. The database layer is server-side, so initCode writes server/lib/db.ts and the schema, record modules and webhooks land under server/db/ and server/api/ — server modules reach each other through Nuxt's `~~` rootDir alias (`~~/server/lib/db`, `~~/server/db/schema`), never through `@/`. That split earns its keep with secrets: the Resend send client belongs to ~~/server/lib/email, and nothing under app/ can import it by accident. The API layer is Nitro rather than a React-shaped route file.

server/api/webhooks/polar.post.ts is a POST endpoint; auth mounts as the catch-all server/api/auth/[...all].ts, which adapts the H3 event with toWebRequest(event) and hands the resulting web Request to the auth library's framework-agnostic handler. Nuxt auto-imports defineEventHandler and its siblings at runtime, but the emitted server files import them from h3 explicitly — one deliberate idiom trade so every handler type-checks under standalone tsc. Session gating is a Nitro server middleware at server/middleware/auth.ts. It fires on every SSR render and every API request, filters on pathname prefixes (/dashboard, /settings), performs the real auth.api.getSession() lookup, and answers with sendRedirect(event, "/sign-in", 302). Because Nitro sits in front of both the rendered page and the endpoints, that is a genuine security boundary rather than a cheap pre-render bounce.

On the client, Vue does its own thing: the auth binding exposes signIn/signUp/useSession as Vue refs, screens are .vue components under app/pages/ (sign-in.vue, dashboard/[id].vue), chrome lives in app/components/ and app/layouts/, and SPA-side guards are app/middleware/*.ts. The design system is shadcn-vue on reka-ui — a real re-port, not the React components wearing new names — and it is checked with vue-tsc, since plain tsc cannot parse an SFC.

Postgres (Neon)

Postgres here is Neon reached through postgres-js, with Drizzle's pg-core dialect on top: drizzle({ client }) over a single module-level postgres(DATABASE_URL, { prepare: false }). That flag is not a preference. Neon's pooled (-pooler) endpoint is PgBouncer in transaction mode, where a backend is handed to a different session between statements, so server-side prepared statements break across the pool — and the same constraint is why this axis pairs with Drizzle rather than Prisma. One client per module is enough: PgBouncer and the runtime do the pooling, so there is no globalThis singleton dance. The schemas built on this dialect make three recurring type decisions. Primary keys are uuid(...).primaryKey().defaultRandom(), so ids come from the database. Timestamps are timestamp(..., { withTimezone: true }).defaultNow() — timestamptz, an absolute instant.

Closed value sets are text plus a CHECK constraint rather than pgEnum, so shipping a new role or subscription status is an ordinary constraint change instead of an ALTER TYPE migration. Counters are bigint({ mode: "number" }), and Better Auth's text user.id is referenced as text by the app tables rather than recast. Operationally, transaction-mode pooling forbids anything that spans statements on one backend: LISTEN/NOTIFY, session-scoped SET, advisory-lock sessions, WITH HOLD cursors. Those paths use Neon's direct endpoint instead. The connection client also changes with the deploy target — max: 1 per short-lived serverless instance, a real reused pool (max 10, idle_timeout 20) in a long-running Node process, and on Cloudflare Workers postgres-js is replaced outright by @neondatabase/serverless over HTTP, because Workers have no TCP sockets.

The capability that exists only on this side of the matrix is row-level security. Multi-tenant schemas ship ENABLE plus FORCE ROW LEVEL SECURITY with policies keyed on current_setting('app.current_org_id', true), which withTenant() sets per transaction — unset context yields no rows, so isolation fails closed inside the database rather than in application code. It requires a dedicated NOBYPASSRLS role: Neon's default neondb_owner carries BYPASSRLS, and connecting as it makes every policy silently inert.

Clerk

Clerk keeps identity on its own servers. The emitted app has no auth instance, no password column and no session table: the card at /sign-in is Clerk's <SignIn/> component rendered under a [[...sign-in]] catch-all so Clerk can mount its own verification and SSO-callback sub-routes there, and the endpoints behind it belong to Clerk. What does land in your database is a single mirror table. db/auth-schema.ts declares user with id set to the Clerk user id (text; varchar(255) on MySQL, so the app-type FK columns match exactly), plus email, first and last name, image URL, and an updated_at column used purely as a staleness key. It exists so app-type schemas can foreign-key user the way they would under a self-hosted auth.

It is not a source of truth, and application code should never write to it. Filling that mirror is a webhook job, and this fragment emits the whole path. lib/identity/record.ts holds recordClerkEvent; the mount is a Next route handler at src/app/api/webhooks/clerk/route.ts, an action in app/routes/webhooks.clerk.ts on React Router, or a Nitro .post.ts handler on Nuxt. Clerk delivers through svix, so the route verifies the raw body against CLERK_WEBHOOK_SECRET before anything reaches the database, and the record core is written for a delivery channel that retries and reorders: the staleness comparison lives inside the UPDATE's WHERE clause so an older event cannot clobber newer state, the insert path absorbs a concurrent duplicate (onConflictDoNothing on Postgres, an ER_DUP_ENTRY catch on MySQL), and user.deleted removes the row. Session checks never touch your Postgres.

Next's proxy.ts runs clerkMiddleware() and calls auth.protect() for anything matching createRouteMatcher(["/dashboard(.*)", "/settings(.*)"]); Nuxt reads event.context.auth() inside a Nitro middleware that the @clerk/nuxt module populates. Even the package name is framework-specific — @clerk/nextjs, @clerk/react-router, @clerk/nuxt — which upstreamPkgFor resolves per cell. The trade is concrete. You never build, style or maintain auth screens, and breaking changes arrive with Clerk's releases rather than your lockfile. In exchange, your user rows are eventually consistent with someone else's database, and a webhook you never configured is a table of missing foreign-key targets that only shows up when an app-type insert fails.