Health, home and travel decision

CafOps

A capable technical user can build a useful subset (inventory, schedules, CSV reconciliation, reports) in about a week, but the full hosted product's integrations, support, and any undisclosed vendor services are nontrivial to reproduce.

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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-off40 h to build

$0/mo3 h/mo upkeep

No published price to break even against.

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

  • A single operator tracks inventory, staff shifts, and daily sales; syncs with a POS; views basic reports.

What it still won’t have

  • hosted backups and uptime SLA
  • any proprietary integrations bundled by the vendor
  • commercial support and onboarding
  • brand and marketplace presence

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

CafOps 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 lightweight café-operations web app using Node.js + Express, React, and PostgreSQL deployed on a single managed cloud VM (or managed Postgres + Vercel for frontend). Core features in scope: JWT auth with roles, inventory CRUD with low-stock alerts, shift scheduling calendar with email notifications (SendGrid), CSV importer to reconcile daily POS sales to inventory, and a reporting endpoint/dashboard for daily sales and stock usage. Out of scope: multi-location sync, PCI-compliant payment processing, and mobile native apps. Include server-side validation, error handling, unit tests for API routes, and integration tests for CSV import.
How we checked1 sources · 2/3 runs agreed · evidence score 52

How the score was reached

  • Partly verdict base52
  • Evidence score52

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 · 1

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded