CRM and sales decision

Sales Farmer

A competent developer can reproduce the core LinkedIn scraping, scheduling, and analytics features in a multi-week project using existing open-source lead-gen repositories; the paid product's polish, support, and mitigation for large-scale detection risks are what you'd be forgoing.

Visit website
You pay

$9.99/mo

$120/yr

Per seat. Read off the official pricing page.

You’d pay instead

$100one-off70 h to build

$25/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 4 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

  • Scrape LinkedIn profiles, schedule/send connection requests and follow-ups with human-like delays, track campaign performance, iterate message sequences.

What it still won’t have

  • Polished, battle-tested browser extension with paid anti-detection/edge-case handling
  • Built-in customer support and onboarding
  • Guaranteed reliability of large-scale scraping and long-running campaigns
  • Hosted uptime SLA and managed billing/UX polish
  • Any proprietary heuristics Sales Farmer uses to maximize acceptance/response rates

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 4 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

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 self-hosted LinkedIn prospecting service using Node.js (Express) + Postgres, a lightweight React admin dashboard, and a Chrome extension for DOM scraping. Core features in scope: (1) extension captures profile data and sends to backend; (2) backend stores leads, manages one-user accounts and a single paid plan; (3) job scheduler (Bull or cron) that sends queued connection requests/messages through a headless browser automation worker (Puppeteer) with configurable randomized delays and per-campaign rate limits; (4) campaign UI to create message sequences and scheduling windows; (5) analytics pages showing acceptance and response rates and CSV export; (6) basic email support/contact form. Out of scope: large-scale multi-tenant billing, Sales Navigator paid API integration, or advanced anti-detection infrastructure. Include input validation, error handling, logging, unit tests for core API endpoints, and end-to-end tests for the extension-worker flow.
How we checked2 sources · 3/3 runs agreed · evidence score 60

How the score was reached

  • Partly verdict base52
  • 2 cited sources+1
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score60

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 · 2

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 recorded