Finance and accounting decision

Expensify

A small team or single competent developer can build and maintain a useful replacement for Expensify's core receipt-to-report workflow; more complex offerings (cards, global payouts, large integrations catalogue, Concierge AI) would remain difficult or out of scope.

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Subscription$5/month
Initial build30 hours
Monthly upkeep8 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 Expensify alternatives, with the arithmetic →

What a replacement has to do

  • Upload or photograph a receipt → OCR/parse receipt into merchant/date/amount → store expense in DB and assign category → submit/approve expense report → export transactions as CSV

What it still won’t have

  • Issuing and operating corporate cards (card network + banking relationships)
  • Global reimbursements and money-transmission partner integrations
  • Broad, maintained integrations catalogue (45+ accounting/ERP connectors)
  • Travel booking and travel-expense sync
  • Concierge AI proprietary automation and 24/7 support

What remains hard

  • Brand trustJoin 15 million+ members who trust Expensify
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First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 11 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 minimal expense-management web app using React (frontend), Node.js + Express (API), Postgres (data), and AWS S3 for receipt storage. Integrate Google Cloud Vision (or AWS Textract) for OCR to extract merchant, date, and amount. Implement: user signup/login, receipt upload endpoint, OCR parsing pipeline with validation, expense CRUD, submit-for-approval workflow, simple approver UI, and CSV export compatible with QuickBooks. Out of scope: issuing cards, travel booking, global payouts, and building proprietary AI models. Include error handling, input validation, unit tests for API routes and parsing logic, and basic E2E tests for the upload-to-export flow.
How we checked4 sources · 2/3 runs agreed · evidence score 86

How the score was reached

  • Build verdict base78
  • An open-source build was found+5
  • 4 cited sources+3
  • Evidence score86

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.

! Price not confirmed on the page - this pricing page renders its price in the browser! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat quoted from the page