Automation and integrations decision
Maps2Sheets
A small technical user can build and operate a useful Maps2Sheets replacement in about a week; no durable moats are evident from the provided site so self-building is realistic.
Visit website↗Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$50one-off28 h to build
$20/mo3 h/mo upkeep
No published price to break even against.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Take a list of addresses in a Google Sheet, geocode them to lat/lng, and write the results back to the sheet.
What it still won’t have
- Polished commercial UI and multi-user account management
- Official support and SLAs
- Prebuilt packaging as a Google Workspace Add-on marketplace listing
- Any additional enterprise features (batch uploads, billing, usage analytics)
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
Maps2Sheets does not publish a price we could read, so there is nothing to compare against. What building costs is below.
Money you would actually spend
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
Build a minimal Maps-to-Sheets service using Node.js (Express) + a small React or vanilla JS frontend, PostgreSQL (or SQLite) for job state, and Redis (or in-process queue) for rate-limited geocoding. Core features in scope: OAuth2 Google Sheets integration to read rows and write lat/lng back; integrate with a configurable geocoding provider (Google Maps Geocoding API); queueing with retries and exponential backoff; a simple UI to select a sheet range, start a job, and show per-row progress/errors. Out of scope: marketplace packaging, multi-tenant billing, and advanced analytics. Include input validation, error handling, unit tests for API and geocoding logic, and a Dockerfile for deployment.
How we checked
How the score was reached
- Build verdict base78
- Evidence score78
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 →Integrity checks
What held up, and what did not.
