Health, home and travel decision
PokeScreener
A single developer can build a usable scanner+collection MVP, but reproducing the product's likely curated pricing coverage, polished scanner accuracy, and scale would be costly—so build an MVP but expect feature and data gaps versus the hosted product.
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.
$100one-off66 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
- Scan a card with phone camera → identify card (image recognition) → fetch current market price → add/update card in user collection
What it still won’t have
- Proprietary historical pricing coverage and curated dataset
- Polish of production scanner UX and error-handling edge cases
- Any copyrighted partnerships or licensed data (if used by product)
- Scale, uptime, and monitoring infrastructure of the hosted product
- Potentially large training or fine-tuned recognition models and their improvements
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
PokeScreener 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 Pokemon card scanner and collection manager using React Native (or React PWA) frontend, Node.js + Express backend, and Postgres. Core features: (1) camera capture and upload UI, (2) image-recognition integration using a pré-existing vision API or TensorFlow Lite model to map images to card IDs, (3) a pricing fetcher that queries one or more public pricing sources or scrapes pages and normalizes prices, (4) user auth, collections CRUD, and collection total valuation calculation, (5) a simple web/mobile UI to browse sets and filter by rarity. Out of scope: training custom recognition models from scratch, paid-tier billing UX, marketplace/shop features, large-scale data warehousing. Include error handling, input validation, basic unit and integration tests, and deploy scripts for a single small instance (Heroku/GCP/AWS).
How we checked
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.
- official productPokeScreener - Pokemon Card Price Scanner & Collection Manager
- official productPokeScreener - Pokemon Card Price Scanner & Collection Manager
- official productPokeScreener - Pokemon Card Price Scanner & Collection Manager
Integrity checks
What held up, and what did not.
