Estimate. Plan. Win.
Run Bidwright on your own machine.
One installer. Docker Desktop and you're done. All product features. No feature gating. No phone home.
macOS / Linux
curl -fsSL https://raw.githubusercontent.com/braedonsaunders/bidwright/main/scripts/launcher/install.sh | bashWindows (PowerShell)
iwr -useb https://raw.githubusercontent.com/braedonsaunders/bidwright/main/scripts/launcher/install.ps1 | iexDocker Desktop
v4.30+
Disk
~6 GB free
Memory
8 GB recommended
Network
Outbound only
What the installer brings up
| Service | Purpose | Port |
|---|---|---|
| web | Next.js frontend (estimating workspace) | 3000 |
| api | Fastify REST API | 4001 |
| worker | BullMQ background jobs (AI, ingestion) | — |
| postgres | Database with pgvector | 5432 |
| redis | Job queue + caching | 6379 |
| ollama | Local embeddings (optional) | 11434 |
Production deployment
For production self-host, run the same Docker Compose stack behind a reverse proxy (nginx, Caddy, Traefik) with TLS. We recommend ≥ 4 vCPU / 16 GB RAM and managed Postgres with pgvector. Estimated infra spend below — subject to your cloud and traffic.
Lean (≤5 estimators)
$80 – $140 / mo
Single VM (4 vCPU / 16 GB) + managed Postgres (small) + object storage.
Team (5 – 20 estimators)
$220 – $480 / mo
Two VMs (web/api split) + medium managed Postgres + Redis + S3-compatible storage.
Heavy (20+ estimators)
$700 – $1,800+ / mo
K8s or load-balanced VMs + HA Postgres + dedicated worker pool + GPU for local LLM (optional).