Health, home and travel decision

Plateful: Meal Plan & Budget

A technical user can build a useful DIY replacement for shared lists and budget tracking, but reproducing robust, maintained real-time price coverage across many retailers (the product's core differentiator) is substantial ongoing work and operational cost.

View on the App Store
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-off86 h to build

$80/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

  • Browse a store website, add items to a list with their prices, see running budget totals, and share/update lists in real time.

What it still won’t have

  • Out-of-the-box, maintained real-time pricing coverage for many retailers (Walmart, Target, ALDI, Costco, etc.)
  • Polished mobile UX and App Store presence
  • Existing user base and incremental product improvements driven by usage
  • Ongoing store-specific scraping heuristics and reliability built up by the vendor

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

Plateful: Meal Plan & Budget 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 cross-platform grocery list app that supports browsing arbitrary retailer pages to add items with extracted prices, per-list budget tracking, and real-time shared lists. Stack: React Native for mobile, Node.js + Express for backend, Postgres for persistence, Firebase Auth (or Sign in with Apple/Google) for authentication, and Playwright running in a small worker pool (behind residential/rotating proxies) for store page scraping. In-scope features: (1) store browser UI that accepts a store URL and displays parsed product titles and prices; (2) list CRUD and item add/remove; (3) per-list running budget total and alerts when nearing limit; (4) real-time sync of lists between users; (5) background job to refresh prices on demand; (6) basic account settings and sign-in; (7) error handling, rate-limit/backoff for scrapers, logging, and unit/integration tests. Out of scope: replicating vendor's full catalog of retailer-specific parsers for dozens of stores, mobile App Store submission polish, and advanced ML-based item matching. Provide CI, Docker deployment manifests, simple monitoring/alerting, and documented runbook for updating scrapers.
How we checked1 sources · 3/3 runs agreed · evidence score 56

How the score was reached

  • Partly verdict base52
  • 3/3 assessment runs agreed+4
  • Evidence score56

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 · 1

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