Drop a GitHub link, a ZIP, or a folder. Staging detects the stack and auto-provisions a full environment — Postgres, SSL, env vars — in under 60 seconds. Vercel Preview Deployments need a connected repo and a CI pipeline. This doesn't.
Works like Vercel's preview deployments — but you skip the git setup, the pipeline config, and the CI wait time. Point it at any vibe-coded output and get a live URL.
Point Staging at any AI-built project — a folder, a Git repo, a ZIP. Works with Next.js, Vite, NestJS, plain HTML, whatever vibe-coding gave you.
Staging reads your package.json, analyzes your dependencies, identifies your database and API layer. No config files. No YAML. No Dockerfile required.
A full staging environment spins up with a real subdomain. Postgres instance, environment variables, SSL — all provisioned and ready. Share the link. Test everything.
Full PostgreSQL instance with your schema loaded and migrations run automatically. Lovable scaffolded your DB calls. Cursor wrote your Prisma schema. Staging provides the database they assumed existed.
HTTPS on day one. A real subdomain. No Cloudflare setup, no certificate management. Your preview URL is immediately shareable — with a client, a co-founder, or the AI agent running your next iteration.
Environments expire after 72 hours — exactly like Vercel's preview deploys. No dangling Render services, no forgotten Neon databases racking up a bill. Test it, share it, promote to production if it passes.
DATABASE_URL, API keys, third-party credentials — Staging generates a working env set based on your detected stack. AI wrote the code assuming those variables exist. Staging makes sure they do.
Vercel gives you a preview URL after you connect a repo, configure a build step, and pass a CI pipeline. Great — if you have all that. If Cursor, Lovable, or Bolt handed you a raw folder, you're filing YAML before you can open a browser tab.
Drop a GitHub URL, a ZIP, or a folder. Staging reads your package.json, detects the stack, provisions a Postgres instance, and returns a live URL — in under 60 seconds. No git. No config. No pipeline. Works with whatever AI gave you.
The same job — give every AI-built app a live preview URL — priced three different ways. Polsia keeps it to one plan.
Pricing based on publicly listed tiers as of July 2026. Sources: vercel.com/pricing, render.com/pricing, railway.com/pricing.
Vercel Preview Deployments need a connected repo and a CI pipeline. This doesn't.
The comparison table raises fair questions about the other platforms — here are the equivalent answers for Staging.
Yes. Postgres is provisioned per preview and lives for the preview's full lifetime — there's no separate idle-deletion clock on top of it. When the preview tears down, the database goes with it.
No monthly hour cap and no idle spin-down. Polsia previews run for their full TTL (72 hours by default) without cold starts when you stop poking them — open the tab tomorrow and it's still warm.
One consumption-priced plan, metered per preview — not per-resource per-second variance on five different line items. A heavy week looks like a heavier single line on the invoice, not an archaeology project.
Postgres isn't a feature we added and could subtract — it's the core of what Staging provisions per environment. We don't ship it as something we'd sunset.
The container and database are torn down together after 72 hours; the URL returns 410 Gone. Promote to a longer-lived environment before expiry or request an extension from the dashboard.
No. Paste a public GitHub URL, drop a folder, or upload a ZIP — Staging detects the stack and provisions. The point of the product is that you skip the build-setup tax entirely.
Email us — we'll let you know when Staging opens up.
"The last mile of vibe-coding isn't writing the code.
It's getting it somewhere you can actually test."
Every new wave of app building — WordPress, then mobile, then no-code — hit the same wall. The output looked ready but couldn't go anywhere without a developer finishing the job. Staging exists to close that gap. Not eventually. Instantly.
Every day developers spend hours configuring what AI already generated. Staging makes the entire cycle — prompt to preview — a single continuous motion. The stack gets detected. The environment gets built. The link gets shared. That's it.