Customer support decision

MyFrank

A competent developer can build a useful self-hosted subset (QR links, attribution, leaderboards, Google review fetch) in a few weeks, but reproducing the full commercial product (fraud protection, wallet cards, polished UX, support and enterprise polish) is more involved so keeping the paid product is reasonable for full-featured needs.

Visit website
You pay

$39/mo

$468/yr

Read off the official pricing page.

You’d pay instead

$100one-off64 h to build

$50/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 2 seats.

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 MyFrank alternatives, with the arithmetic →

What a replacement has to do

  • Employees request reviews (QR/links), platform attributes responses to employees, tracks leaderboards/challenges, fetches Google Reviews and notifies admins, optionally generates AI-powered reply drafts.

What it still won’t have

  • Polished UI/UX and onboarding flow
  • Priority/enterprise support and SLAs
  • Built-in protection/anti-fraud systems
  • Apple Wallet / Google Wallet card provisioning
  • Fraud-detection and large-scale reliability engineering

What remains hard

  • Brand trust4.9 par 300+ clients
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 2 seats.

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 self-hosted review-collection microservice using Node.js (Express), Postgres, Redis, and React for the admin UI; deploy to a single small cloud VM (or 2 containers) with Nginx. Implement: 1) Google Business OAuth and a background job to import reviews; 2) per-employee accounts and attribution stored in Postgres; 3) short-link generator and QR code service that redirects and records events; 4) campaign/challenge CRUD, leaderboard computation, and basic rewards metadata; 5) websocket or server-sent events for real-time notifications; 6) optional integration with an LLM API to generate reply drafts. Out of scope: enterprise SSO, Apple/Google Wallet provisioning, advanced anti-fraud. Include input validation, error handling, unit tests for core services, and end-to-end tests for the main flows.
How we checked5 sources · 2/3 runs agreed · evidence score 63

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.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat quoted from the page