Websites and hosting decision

Revamp

A capable technical user can reproduce the core AI-redesign and static-hosting workflow in about one week and operate it cheaply, but they will not match Revamp's managed hosting, agency features, SEO tuning, and support without extra work.

Visit website
You pay

$29/mo

$348/yr

Read off the official pricing page.

You’d pay instead

$100one-off40 h to build

$50/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 3 seats.

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. All Revamp alternatives, with the arithmetic →

What a replacement has to do

  • Paste a URL → crawl and extract content → generate static HTML/CSS via an LLM → publish static site to a CDN with SSL → add analytics and contact form

What it still won’t have

  • Proprietary generation quality and prompt engineering optimizations built by Revamp
  • Managed hosting SLA, automated uptime, and priority support
  • Built-in AI SEO layer tuned for migrations and search
  • White-label agency tooling (client folders, proposal PDFs, multi-site credit system)
  • Credits-based workflow and built-in export/credit controls

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 3 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 AI website-redesign service using Next.js (frontend + API routes), Node.js backend worker, Puppeteer for crawling, OpenAI-compatible LLM API for HTML/CSS generation, a static-site assembler, and AWS S3 + CloudFront for hosting. Core features in scope: 1) paste a public URL and crawl its pages (configurable depth), 2) extract headings, body copy, images, and metadata, 3) run prompt-driven LLM passes to produce responsive HTML/CSS components and full pages, 4) assemble and export a clean static site bundle, 5) one-click deploy to S3/CloudFront with automatic Let's Encrypt/managed SSL and domain setup, 6) basic analytics (page views, referrers) stored in a small Postgres or SQLite DB, and 7) a simple visual editor for text/image edits and a contact form that forwards to email. Out of scope: full agency white-label workflows, multi-tenant credit accounting, advanced AI-SEO tuning, priority support, and enterprise APIs. Require unit and integration tests for crawler, extractor, LLM integration, deploy pipeline, and public error handling/logging; include retries for network failures and input validation for pasted URLs.
How we checked4 sources · 2/3 runs agreed · evidence score 89

How the score was reached

  • Build verdict base78
  • An open-source build was found+5
  • 4 cited sources+3
  • Price verified on pricing page+3
  • Evidence score89

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! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded