Health, home and travel decision

trainquille.fr

A capable technical user can reproduce a useful subset (search + map + simple découpage) using public APIs and the cited prior-art, but the full polished product with continuous crawling, reliability, and any privileged data access is larger and operationally heavier than a one-person weekend project.

Visit website
You pay

Not priced

No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.

You’d pay instead

$100one-off80 h to build

$50/mo6 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

  • User enters origin/date or destination/date → query timetable/availability source → compute matching trips (including reverse and split-leg alternatives) → show results on an interactive map and list; allow exploring alternatives (nearby stations, BlaBlaCar).

What it still won’t have

  • Polish and UX of the commercial site (maps, search refinements, premium features)
  • Any official data-sharing agreement or privileged SNCF data access
  • Scale, monitoring, and reliability at production traffic
  • Built-in premium account and billing/support workflows

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

trainquille.fr 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

Keep paying
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Subscription price × seats × 12

Build it
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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 self-hosted Trainquille-like service: use Node.js + Express for the backend, Postgres for storage, Redis for caching, a background worker (BullMQ) to prefetch popular station availability, and React + Leaflet for the frontend. Core features in scope: (1) query live train timetables/availability via public SNCF/transport APIs or HTML scraping module, (2) classic origin→dest search, reverse-search mode, (3) itinerary découpage that splits a trip into free segments and proposes nearby stations, (4) map view showing available seats, (5) optional BlaBlaCar link suggestions, (6) simple user auth (email) and basic caching. Out of scope: paid subscriptions/billing, analytics dashboards, mobile apps, and any negotiated official SNCF data agreements. Include retries, rate-limit handling, error logging, unit and integration tests, and Docker manifests for deployment.
How we checked3 sources · 3/3 runs agreed · evidence score 59

How the score was reached

  • Partly verdict base52
  • 3 cited sources+3
  • 3/3 assessment runs agreed+4
  • Evidence score59

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.

✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded