Deploying a Maybe App
Introduction
Maybe is an open-source personal finance app built on Node.js/Next.js for budgeting, planning, and portfolio tracking. Deploying Maybe with a Dockerfile on Klutch.sh delivers reproducible builds, managed secrets, and persistent storage for exports and uploads—all configured from klutch.sh/app. This guide covers installation, repository prep, a production-ready Dockerfile, deployment steps, Nixpacks overrides, sample API usage, and production best practices.
Prerequisites
- A Klutch.sh account (sign up)
- A GitHub repository containing your Maybe code and Dockerfile (GitHub is the only supported git source)
- Database credentials if you run Maybe with Postgres (recommended) or SQLite
- Optional object storage for exports and attachments
For onboarding, see the Quick Start.
Architecture and ports
- Maybe runs as an HTTP app; set the internal container port to
3000. - If you deploy Postgres separately, run it as a Klutch.sh TCP app exposed on port
8000and connect on5432. - Persistent storage is recommended for user exports/backups and logs.
Repository layout
maybe/├── Dockerfile # Must be at repo root for auto-detection├── package.json├── pnpm-lock.yaml # or yarn.lock / package-lock.json├── .env.example # Template only; no secrets├── public/ # Static assets├── uploads/ # Exports/attachments (persist)└── README.mdKeep secrets out of Git; store them in Klutch.sh environment variables.
Installation (local) and starter commands
Install dependencies and run locally before pushing to GitHub:
pnpm installpnpm buildpnpm start -- --port 3000Optional helper start.sh for portability and Nixpacks fallback:
#!/usr/bin/env bashset -euo pipefailexec pnpm start -- --port "${PORT:-3000}"Make it executable with chmod +x start.sh.
Dockerfile for Maybe (production-ready)
Place this Dockerfile at the repo root; Klutch.sh auto-detects it (no Docker selection in the UI):
FROM node:18-alpine AS buildWORKDIR /app
COPY package.json pnpm-lock.yaml* yarn.lock* package-lock.json* ./RUN corepack enableRUN pnpm install --frozen-lockfile
COPY . .RUN pnpm build
FROM node:18-alpineWORKDIR /appENV NODE_ENV=production PORT=3000
COPY --from=build /app /appRUN corepack enable && pnpm install --prod --frozen-lockfile
EXPOSE 3000CMD ["pnpm", "start", "--", "--port", "3000"]Notes:
- Add build tools (
apk add --no-cache python3 make g++) in the build stage if native modules are required. - Keep
uploads/writable and mount it as a volume for exports and attachments.
Environment variables (Klutch.sh)
Set these in Klutch.sh before deploying:
NODE_ENV=productionPORT=3000APP_BASE_URL=https://example-app.klutch.shDATABASE_URL=postgres://<user>:<password>@<host>:5432/<db>(if using Postgres)UPLOAD_DIR=/app/uploads- Any provider/API keys your Maybe setup needs
If you deploy without the Dockerfile and need Nixpacks overrides:
NIXPACKS_BUILD_CMD=pnpm install --frozen-lockfile && pnpm buildNIXPACKS_START_CMD=pnpm start -- --port 3000NIXPACKS_NODE_VERSION=18
Attach persistent volumes
In Klutch.sh storage settings, add mount paths and sizes (no names required):
/app/uploads— user exports, attachments, backups./app/logs— optional if you store logs locally.
Ensure these paths are writable inside the container.
Deploy Maybe on Klutch.sh (Dockerfile workflow)
- Push your repository—with the Dockerfile at the root—to GitHub.
- Open klutch.sh/app, create a project, and add an app.
- Select HTTP traffic and set the internal port to
3000. - Add the environment variables above (database URL if used, app URL, upload dir, provider keys, and any
NIXPACKS_*overrides if you temporarily deploy without the Dockerfile). - Attach persistent volumes for
/app/uploads(and/app/logsif used), selecting sizes that fit your storage needs. - Deploy. Your Maybe instance will be reachable at
https://example-app.klutch.sh; attach a custom domain if desired.
Sample API usage
Fetch accounts (example endpoint; adjust to your API):
curl -X GET "https://example-app.klutch.sh/api/accounts" \ -H "Authorization: Bearer <token>"Health checks and production tips
- Add a health endpoint (e.g.,
/api/health) and probe it for readiness. - Enforce HTTPS at the edge; forward HTTP to port
3000internally. - Keep lockfiles and Node version pinned; test upgrades in staging.
- Monitor storage usage on
/app/uploadsand resize before it fills. - Secure provider/API keys in Klutch.sh secrets and rotate regularly.
Maybe on Klutch.sh combines reproducible Docker builds with managed secrets, persistent storage, and flexible HTTP/TCP routing. With the Dockerfile at the repo root, port 3000 configured, and your database connected, you can deliver reliable personal finance tooling without extra YAML or workflow overhead.