Creator and commerce decision

Karma

A single developer can build a useful subset (recognitions, basic analytics, one chat integration) in ~30 hours, but reproducing the full polished product (multi-chat bots, reward catalog/purchases, enterprise support and compliance) is larger and justifies continued use of the paid SaaS for most teams.

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Subscription$3/month ✓ verified
Initial build30 hours
Monthly upkeep8 hours + $0
Evidence3/3 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 Karma alternatives, with the arithmetic →

What a replacement has to do

  • Provide a web UI and chat integrations to create and display peer-to-peer recognitions, record points/values, show simple analytics dashboards, and issue rewards via a third-party gift-card provider.

What it still won’t have

  • Enterprise support (priority SLA / 24h response)
  • Built-in reward catalog and automated gift-card purchasing
  • Polished product customization and branding workflows
  • Compliance attestation and privacy assurances from vendor
  • Built-in integrations and tested bots for multiple chat platforms

What remains hard

  • Product polish and ongoing maintenance
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 employee recognition web app with a Node.js (Express) backend, PostgreSQL database, React frontend, and small worker (Node) for notifications; include Slack and MS Teams bot integrations. In-scope: user accounts, company org and members, create public/private recognitions linked to company values, points ledger, an admin dashboard with aggregated analytics (active users, recognitions/time, values alignment), a basic rewards mapping (points -> reward items) and an integration to call a third-party gift-card API to issue rewards, email notifications, and audit logs. Out of scope: multi-tenant billing portal, advanced product customization UI, enterprise SLA. Provide error handling, input validation, unit tests for backend endpoints, and end-to-end tests for the recognition flow.
How we checked3 sources · 3/3 runs agreed · evidence score 67

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 3 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score67

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 · 3

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded