CRM and sales decision

Waalaxy

A technical user can reproduce a basic LinkedIn outreach workflow (capture profiles, run sequences, detect replies, export leads) using existing automation libraries and the cited community projects, but matching Waalaxy’s polish, integrations, deliverability safeguards and large-scale safety tooling would require more time and resources.

Visit website
You pay

$19/mo

$228/yr

Per seat. Read off the official pricing page.

You’d pay instead

$100one-off80 h to build

$30/mo8 h/mo upkeep

On cash alone, building overtakes the subscription at 3 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 Waalaxy alternatives, with the arithmetic →

What a replacement has to do

  • Find prospects on LinkedIn, enqueue them into outreach sequences, send connection requests/messages and scheduled follow-ups, track replies and export or push qualified leads to a CRM.

What it still won’t have

  • Polished UI/UX and onboarding flow
  • Scale, reliability and account-safety tooling for high-volume outreach
  • Built-in integrations catalog (HubSpot, Pipedrive, Make, Zapier, n8n)
  • Priority support and in-house customer success
  • Email-finder credits and advanced multichannel features

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 3 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

—

—

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 LinkedIn outreach automation service using a Chrome extension + Node.js backend and Postgres. In scope: (1) Chrome extension that captures selected LinkedIn search results/profiles and sends them to the backend; (2) backend job scheduler that executes connection requests/messages and follow-ups with randomized/human-like delays; (3) simple sequence builder UI, campaign and prospect storage in Postgres, and a web inbox showing reply state; (4) CSV export and webhook to push qualified leads to a CRM; (5) integration with an email-finder API and SMTP for optional email outreach. Out of scope: training proprietary ML models, building a marketplace, advanced inbox analytics, and enterprise multi-tenant billing. Include error handling for LinkedIn rate-limits and browser failures, logging, and unit + integration tests. Deploy backend to a small cloud VM and use managed Postgres.
How we checked5 sources · 3/3 runs agreed · evidence score 67

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
  • 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 →

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 recorded