Websites and hosting decision

Vercel

A competent developer can reproduce a basic deploy+CDN+serverless workflow; the full Vercel experience (fluid compute, AI gateway, security add-ons, global orchestration and polish) is costly to replicate, so keep paying if you need those features.

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Subscription$20/month ✓ verified
Initial build30 hours
Monthly upkeep6 hours + $25
Evidence3/3 runs agree

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need — the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship.

What a replacement has to do

  • Provide continuous deploys from a Git repo to a global CDN with serverless function execution and basic observability (deploy, preview, rollback).

What it still won’t have

  • Fluid Compute / Active-CPU billing and integrated serverless platform
  • AI Gateway, Agent Stack, and Sandbox features
  • Built-in global deployment orchestration and tenant isolation
  • Managed WAF, Bot Management, BotID and advanced security add-ons
  • Integrated preview environments, toolbar comments, and one-click rollbacks with Vercel polish

What remains hard

  • Infrastructure at scaleShip apps that scale from zero to millions instantly
  • Execution qualityVercel handles infrastructure automatically and provides these tools to help you deploy and scale:
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 2 seats.

Paid seatsseats

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

AI build APIs + hosting

Time you would spend

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal self-hosted Vercel-like deploy platform using: GitHub Actions, Node.js for build hooks, AWS S3 + CloudFront for static assets, AWS Lambda + API Gateway for serverless functions, Postgres (or SQLite) for deployment metadata, and CloudWatch/ELK for logs. In scope: Git->CI pipeline, artifact publish to S3, CloudFront distribution with invalidation, Lambda endpoints wired to routes, a small web dashboard to show current deployment, preview URLs for pull requests, automatic rollback to last successful deploy, and basic request logging and health checks. Out of scope: agentic AI features (AI Gateway, Sandbox, Agent Stack), advanced WAF/Bot management, multi-tenant enterprise features, and deep observability dashboards. Include input validation, retries, error handling for builds/deploys, and unit/integration tests for CI hooks, upload, and function invocation paths.
How we checked4 sources · 3/3 runs agreed · evidence score 64

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-3
  • Evidence score64

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time — so the same evidence always produces the same number.

How scoring works →

Cited sources · 4

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 2 moats quoted from the page