CRM and sales decision

Cold Convert

A single developer can recreate the automation, sending, and reply workflows, but cannot reproduce the vendor's claimed exclusive contact database and lifetime commercial positioning; therefore building a narrow self-hosted replacement is realistic but not a full substitute.

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Built by Sergiu 🤖 AI Directories, who ships 6 products in this index

You pay

Not priced

No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.

You’d pay instead

$100one-off80 h to build

$25/mo6 h/mo upkeep

No published price to break even against.

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 Cold Convert alternatives, with the arithmetic →

What a replacement has to do

  • Find target leads, send personalized cold email sequences, surface replies for qualification.

What it still won’t have

  • The vendor's claimed private/exclusive contact database
  • Lifetime updates/support promise from vendor
  • Any proprietary lead-finding heuristics or curated templates the vendor supplies

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

Cold Convert does not publish a price we could read, so there is nothing to compare against. What building costs is below.

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 self-hosted cold-email automation app using Node.js (Express), PostgreSQL, and a React admin UI. Core features in scope: (1) lead discovery worker that ingests leads from a configurable CSV or simple scraping script and stores deduplicated contacts in Postgres; (2) templated, personalized email sending via a provider API (abstracted SMTP/Resend client) with per-contact interpolation and rate limiting; (3) a scheduler (BullMQ or cron) to send follow-up sequence steps; (4) inbound reply ingestion using IMAP webhook polling and simple keyword-based classification to mark qualified replies; (5) a dashboard to select niche/template, start/stop a campaign, and view send/open/click/reply status. Out of scope: building or licensing a proprietary contact database and advanced AI lead enrichment. Require environment-driven config, error handling for all external calls, retries and idempotency for sends, unit tests for core modules, and basic Docker Compose deployment with a sample production env and costs estimate for a single user.
How we checked4 sources · 3/3 runs agreed · evidence score 64

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 cited sources+3
  • 3/3 assessment runs agreed+4
  • Evidence score64

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 · 4

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded