CRM and sales decision

Hunter

A competent engineer can build a useful subset (finder + verifier + simple sequences) within a week and maintain it cheaply, but you’ll lose Hunter’s proprietary data, AI enrichment quality, integrations, and deliverability infrastructure — so keep paying if you need scale and accuracy.

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You pay

$49/mo

$588/yr

Read off the official pricing page.

You’d pay instead

$50one-off30 h to build

$50/mo8 h/mo upkeep

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

The code exists. It is not what you are paying for.

These 2 projects are real, published, and do the core job — and this page still says keep paying. What the subscription buys is proprietary data and proprietary models, and none of that ships in a repository. Fork one anyway if you want to. Go in knowing what it does not carry. What stays hard ↓ · All Hunter alternatives, with the arithmetic →

What a replacement has to do

  • Find professional emails for a person or domain, verify addresses, and send personalized email sequences.

What it still won’t have

  • Hunter’s large, proprietary B2B contact dataset and historical coverage
  • Proprietary AI/enrichment models and their accuracy at scale
  • Deliverability optimizations, managed inbox protections, and large-scale sending infrastructure
  • Prebuilt integrations catalogue and polished UX

What remains hard

  • Proprietary dataIndustry-leading B2B email data at scale.
  • Proprietary modelsHunter uses a combination of proprietary technology and artificial intelligence to find, verify, and enrich contact details.
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 self-hosted Hunter-like service using Node.js + Express, PostgreSQL, and a small React admin UI. In scope: (1) Domain Search/Email Finder endpoint that returns candidate emails using common username patterns and simple web/HTML scraping; (2) Email Verifier endpoint performing syntax checks, MX lookup, and basic SMTP probe with backoff; (3) Sequence runner that sends templated personal emails via SMTP/Gmail API with scheduled follow-ups and basic open tracking via tracking pixels; (4) quota/credit accounting per user per calendar month; (5) CSV import/export and a Google Sheets sync. Out of scope: building a large proprietary contact database, advanced enrichment ML models, and enterprise-grade deliverability tooling. Include error handling, retries, logging, and unit/integration tests covering finder, verifier, and sending flows.
How we checked4 sources · 2/3 runs agreed · evidence score 25

How the score was reached

  • Pay verdict base20
  • An open-source build was found+5
  • 4 cited sources+3
  • Price verified on pricing page+3
  • Hard moats found in the evidence-6
  • Evidence score25

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! 2 moats quoted from the page