Finance and accounting decision

Tiller

A narrow replacement (feeds into Google Sheets, rule-based AutoCat, daily email) is realistic for a competent developer using existing aggregators and APIs, but reproducing Tiller’s ongoing bank-connector coverage, reliability, and support is costly and operationally heavy, so keeping the paid service is reasonable for full parity.

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Subscription$8.25/month ✓ verified
Initial build80 hours
Monthly upkeep12 hours + $150
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.

What a replacement has to do

  • Fetch account transactions daily, append and normalize rows into a spreadsheet, auto-categorize transactions using rules/ML, surface summary templates/dashboards and send a daily summary email.

What it still won’t have

  • Tiller-managed bank connector reliability and connector maintenance
  • Prebuilt, polished spreadsheet templates and one-click setup
  • US-based dedicated customer success/support team
  • Daily hosted feed management and guaranteed privacy controls
  • Auto-updates and built-in AutoCat behavior tuned by the vendor

What remains hard

  • Integration maintenanceOnly Tiller connects your banks and spreadsheets with an automatic feed of your daily finances.
  • Brand trustYour Trust is Not for Sale
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 20 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 hosted service using Node.js (or Python) + Postgres + Google Sheets API + a Plaid (or similar) connector to: 1) connect a single user’s bank accounts via Plaid and fetch daily transactions; 2) normalize and dedupe transactions and store them in Postgres; 3) write transactions into a Google Sheet using the Sheets API and maintain a Foundation Template sheet; 4) implement rule-based AutoCat categorization with a small ML fallback using a hosted transformer endpoint (or simple logistic regression) and an admin UI to edit rules; 5) send a daily summary email via SendGrid. Out of scope: building your own bank aggregation network (use Plaid/Envestnet/Yodlee), multi-user billing UI, and Excel desktop automation (optional: implement Microsoft Graph later). Include error handling for failed bank fetches, retry/backoff, monitoring (Sentry), and unit/integration tests for connectors, categorization, and Sheets writes.
How we checked5 sources · 3/3 runs agreed · evidence score 67

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
  • 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 · 5

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! 2 moats quoted from the page