Analytics and monitoring decision
figoca
A technically competent developer can build a useful comps+grader+extension workflow, but reproducing figoca's indexed dataset, scale, and polished product experience would be difficult to match and justifies continued use of the paid product for full coverage.
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-off64 h to build
$100/mo6 h/mo upkeep
No published price to break even against.
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. All figoca alternatives, with the arithmetic →
What a replacement has to do
- User snaps or uploads card photos → system returns PSA-style grade estimate → user searches comps (real eBay sold listings) → view deal indicators and price history → optionally save to portfolio; Chrome extension overlays comps on eBay listings.
What it still won’t have
- Scale and breadth of indexed eBay listings (8M+ indexed claim)
- Proprietary historical pricing dataset and freshness at scale
- Polished UX, brand trust, and community traction
- Investor-grade metrics and growth resources
What remains hard
- Proprietary data
8M+ listings indexed, 36k+ AI grades delivered, +156% new users in the last 30 days. See the full story and metrics.
- Infrastructure at scale
8M+ listings indexed, 36k+ AI grades delivered, +156% new users in the last 30 days. See the full story and metrics.
First-year cost
No published price
figoca 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
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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 figoca replacement using: React frontend, Node.js (Express) API, Postgres, Redis for job queue, and a hosted vision model API (e.g., OpenAI/Replicate) for grading. In scope: (1) a scraper/connector that pulls recent eBay sold listings into Postgres and builds a simple search index; (2) an image upload endpoint that runs uploaded card photos through the hosted vision model and returns PSA-style grade probabilities plus sub‑grade checks; (3) a search UI showing recent sold comps, price history sparkline, and a deal-over/under indicator; (4) user portfolio CRUD with import/export CSV; (5) a Chrome extension that injects an overlay onto eBay listing pages calling the search API. Out of scope: large-scale crawling/parallelization, advanced trend dashboards, multi-tenant billing, and mobile apps. Include error handling, retries for external APIs, background jobs for indexing, basic unit and integration tests, and Docker-based deployment scripts.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 3 cited sources+3
- 3/3 assessment runs agreed+4
- Hard moats found in the evidence-6
- Evidence score58
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 productfigoca - Trading Card Prices, AI Grading & Research Tools | figoca
- official pricingBest Trading Card Price Tracking Apps in 2026 | figoca
- open sourceChimedeck repository
Integrity checks
What held up, and what did not.
