CRM and sales decision

Grow with Ghost

A technical user can reproduce a useful portion (lead sourcing + email sequences + AI drafts + simple intent signals) using open-source lead tools and model APIs, but the full product’s claimed proprietary 600M-contact DB, deterministic multi-dimensional scoring, polished native LinkedIn automation, and managed services are not realistically replaced by a solo build.

Visit website
You pay

$99/mo

$1,188/yr

Read off the official pricing page.

You’d pay instead

$100one-off36 h to build

$150/mo3 h/mo upkeep

On cash alone, building overtakes the subscription at 2 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 Grow with Ghost alternatives, with the arithmetic →

What a replacement has to do

  • Find leads, score intent, generate outreach content, run multi-channel sequences, capture replies in a unified inbox.

What it still won’t have

  • Access to Ghost’s claimed 600M-contact built-in database
  • Deterministic 5-dimensional intent scoring and banded Lead Score
  • Agentic one-click campaign creator that builds campaigns in ~90s
  • Native LinkedIn + email native sending and unified managed inbox polish
  • Ghost Managed (agency) fully-managed service option

What remains hard

  • Proprietary data600M Contacts in Ghost’s built-in lead database
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper 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 AI-SDR web app using Next.js + Node.js backend, Postgres for storage, and Redis for job queueing; use the kiryano/Scout project plus email-sleuth for lead sourcing/enrichment. Core features in scope: (1) import/enrich leads and store contacts, (2) basic intent-tracking that polls LinkedIn posts/pages for likes/comments and updates a per-contact score, (3) AI-powered outreach draft generation via OpenAI (brand-voice fine-tuning from a user's LinkedIn posts), (4) schedule/send email sequences via Gmail API and pause on reply, (5) simple unified inbox showing sent messages and replies and export to CSV. Out of scope: building a proprietary 600M contact database, building native LinkedIn messaging integration beyond browser-automation hooks, enterprise team-management features, and a managed agency service. Require robust error handling, rate-limit/backoff for all external APIs, unit and integration tests for core flows, and Docker deployment scripts for a single-host deployment.
How we checked5 sources · 3/3 runs agreed · evidence score 64

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
  • 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 · 5

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! 1 moat quoted from the page