Documents and notes decision

GitBook Premium

A competent developer can replace the core public-site, search, and hosting workflow in ~30 hours, but GitBook’s embedded AI assistant, analytics/insights, and enterprise compliance/migration services are nontrivial to replicate, so keeping the paid product makes sense for those features.

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Subscription$65/month ✓ verified
Initial build30 hours
Monthly upkeep5 hours + $40
Evidence2/3 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

  • Publish Markdown docs to a branded public site with full-text search and basic analytics.

What it still won’t have

  • GitBook AI Assistant (embedded advanced chatbot)
  • AI Insights and GitBook Agent features
  • GitBook MCP server & built-in AI optimizations (MCP/llms.txt automation)
  • Enterprise compliance & white‑glove migration
  • Hosted editor/collaboration with built-in merge workflow and team UX

What remains hard

  • Compliance and regulationSOC 2, ISO 27001, SAML SSO, access controls, white-glove migration.
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 1 seat.

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 hosted docs platform using Docusaurus (React) + Node.js backend, deploy on Vercel, and use Algolia (or Typesense) for search. Include: Markdown import from a Git repo, static site generation, CI/CD deploy to Vercel, search indexing and client search UI, custom domain setup, simple Git-based collaborator workflow, and basic analytics (Plausible or GA). Out of scope: training/custom LLMs, an embedded AI chat assistant, enterprise SSO onboarding, and white‑glove migration. Provide error handling for imports/CI failures, automated tests for build and search indexing, and deployment/run instructions.
How we checked5 sources · 2/3 runs agreed · evidence score 60

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • Hard moats found in the evidence-3
  • Evidence score60

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 · 5

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 quoted from the page