CRM and sales decision
Close
A technical user can implement a narrower Close-like CRM (contacts, pipeline, email/SMS, workflows, LLM summaries) with third-party telephony and LLM APIs, but reproducing Close's integrated Chloe agent, dialer/predictive features, compliance/telephony operations, and polished integrations at scale is expensive and time-consuming.
Visit website↗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.
What a replacement has to do
- Store leads & contacts, track pipeline stages, send/receive email and SMS/calls, run automated workflows that trigger outreach/updates, and generate AI summaries/actions from conversations.
What it still won’t have
- Proprietary Chloe agent tightly integrated with telephony and workflows
- Built-in dialer/predictive dialer polish and call-coaching features
- Out-of-the-box integrations catalogue and maintained connectors
- Hosted telephony lines, number rental, and compliance features (A2P registration support)
- Enterprise reporting, role-based access controls, and single-vendor support
What remains hard
- Brand trust
11,500+ Sales teams trust Close
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 11 seats.
Money you would actually spend
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
Build a minimal self-hosted sales CRM (Postgres + Node.js API + React UI) that supports: lead/contact storage, pipeline stage management, email send/receive and logging (via SMTP/IMAP or SendGrid), SMS/call capability using Twilio (including recording and logging), a simple workflows engine to trigger outreach and CRM updates, and server-side AI summaries/suggested follow-ups using OpenAI or Anthropic. Out of scope: predictive dialer, multi-tenant enterprise role matrix, large-scale analytics, or built-in number rental UI. Include error handling, retries for external APIs, webhooks, basic tests (unit + two end-to-end flows), and a Docker compose deployment for local and a recommended AWS ECS/Fargate deploy script.
How we checked
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
- Evidence score63
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.
- official productClose product page
- official pricingClose pricing
- official docsClose features/docs
- open sourceoroinc/crm-application
- open sourcekrayin/laravel-crm
Integrity checks
What held up, and what did not.
