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.

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Subscription$39/month ✓ verified
Initial build64 hours
Monthly upkeep6 hours + $50
Evidence2/3 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 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 ischeaper 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