CRM and sales decision

Cash Cow INC

A capable developer can build a basic lead-discovery + outreach replacement using existing open-source tools in a multi-week project, but matching the vendor's end-to-end polish, deliverability, signal datasets, and enterprise integrations would be difficult to reproduce fully.

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You pay

$99/mo

$1,188/yr

Read off the official pricing page.

You’d pay instead

$100one-off120 h to build

$490/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 6 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 Cash Cow INC alternatives, with the arithmetic →

What a replacement has to do

  • Discover prospects from web and signals, enrich contacts, send personalized multichannel outreach, capture replies, and iteratively re-score and optimize.

What it still won’t have

  • Proprietary scale of signal-data and historical conversion dataset used to auto-optimize agents
  • Polished, maintained integrations and deliverability infrastructure (IP warmup, bounce/complaint handling)
  • Enterprise features from custom account success (deep integrations, dedicated senders, admin controls)
  • Brand, marketplace trust, and commercial support that a paid vendor provides

What remains hard

  • Brand trustBacked by Y Combinator P26
  • Brand trustTrusted by 2,000+ sales & GTM teams worldwide
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 6 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 AI sales agent web app using Node.js + Express, Postgres, Redis, and a React frontend. Core features in scope: (1) website ingestion service that fetches and extracts product/ICP text; (2) prospect discovery module using configurable scrapers for company directories and LinkedIn public pages, exporting candidates to Postgres; (3) enrichment pipeline integrating at least one enrichment API and SMTP/email verification; (4) outreach engine to send personalized email via SendGrid and a scheduler for LinkedIn message placeholders; (5) a lightweight reply inbox that stores replies and re-calculates lead score with a simple rules-based learner. Out of scope: building proprietary signal-training datasets, paid third-party enrichment catalogs beyond one provider, and managed deliverability at scale. Include error handling, logging, unit and integration tests, deployment scripts (Docker), and basic docs for installing and running.
How we checked3 sources · 3/3 runs agreed · evidence score 67

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 3 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score67

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! 2 moats quoted from the page