CRM and sales decision

Pipedrive

A small team can build a narrow CRM covering pipelines, contacts, imports, automations and basic reports, but reproducing Pipedrive’s integrations, AI features, polished mobile apps, scale, and enterprise security is not realistic for a DIY replacement.

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Subscription$14/month ✓ verified
Initial build80 hours
Monthly upkeep8 hours + $0
Evidence3/3 runs agree

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 Pipedrive alternatives, with the arithmetic →

What a replacement has to do

  • Store contacts and deals, visualize deals in a pipeline/kanban, record activities, run simple automations (e.g. assign lead on create, send templated email), and produce basic sales reports.

What it still won’t have

  • 500+ marketplace integrations and app ecosystem
  • Built-in AI features and AI Sales Assistant
  • Enterprise-grade SOC 2, hosted scale (Rackspace/AWS) and hardened security defaults
  • Mobile apps and polished UX across platforms
  • Vendor support, uptime guarantees, and sandbox/testing accounts

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 1 seat.

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 sales CRM using: Postgres, FastAPI (Python) backend, React + TypeScript frontend, Redis for background jobs, and Docker. In scope: REST API for Contacts/Organizations/Deals/Activities/Users; Postgres schema and migrations; Kanban pipeline UI with drag-and-drop; CSV import with field mapping and background worker; simple rule engine to trigger actions (assign owner, send templated email via SendGrid SMTP/API); basic Insights page (counts by stage, conversion funnel); authentication (JWT) and role-based access. Out of scope: mobile native apps, a 500+ app marketplace, advanced AI features, SOC2 compliance. Include logging, input validation, error handling, a test suite (unit tests for API and integration tests for import and automation), and Docker Compose to run the stack locally.
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 →

Cited sources · 5

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