CRM and sales decision

Getlead

A competent technical user can assemble a working lead-scrape/verify/send stack (and open-source projects like Mautic/OpenOutreach help), but you will lose Getlead's 420M+ proprietary database, bundled verification/sending volume and deliverability/warmup infrastructure that are core commercial advantages.

Visit website
You pay

$19.9/mo

$239/yr

Read off the official pricing page.

You’d pay instead

$100one-off160 h to build

$80/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 5 seats.

No open-source build does this yet

Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.

What a replacement has to do

  • Search or scrape prospects, verify their emails, schedule/send sequences through an ESP/SMTP, and track leads in a simple CRM.

What it still won’t have

  • Access to the vendor’s 420M+ pre-verified B2B contact database
  • Provider-grade deliverability stack, sender warm-up and reputation management
  • Unlimited monthly send allowances and bundled verification volume
  • Polished UX, integrated multi-source scrapers and ready-made templates/analytics
  • Priority support and the single-flat-bill convenience

What remains hard

  • Proprietary data420M+ B2B 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 5 seats.

Paid seatsseats

Money you would actually spend

Keep paying
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Subscription price × seats × 12

Build it
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AI build —APIs + hosting —

Time you would spend

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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 self-hosted outbound lead gen and cold-email app using Node.js (Express) backend, React frontend, Postgres for storage, Redis for job-queue, and Docker for deployment. Core features in scope: (1) a configurable scraper module (Puppeteer/Cheerio) that saves structured leads, (2) an email verification adapter that calls a third-party verification API and stores verification results, (3) an email campaign engine that schedules sequences and sends via AWS SES or SMTP providers with sender rotation, (4) a minimal CRM UI to view contacts, move pipeline stages, and record replies, and (5) campaign analytics (opens/replies) and a unified replies inbox. Out of scope: building a proprietary 420M+ database and advanced deliverability/warmup infrastructure. Include error handling, API retries, unit and integration tests, Docker compose for local dev, and deployment docs.
How we checked3 sources · 3/3 runs agreed · evidence score 59

How the score was reached

  • Partly verdict base52
  • 3 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-3
  • Evidence score59

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 · 3

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