AI assistants and search decision
PropGPT: AI Props Analysis
A capable developer can build a limited web replacement (analysis + LLM) in a few months, but reproducing the full mobile app, polished UX, real-time paid data/odds integrations, and App Store distribution is more work and operational cost, so keeping the paid product is reasonable for teams needing those capabilities.
View on the App Store↗Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off125 h to build
$300/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
- Ingest sports stats and odds → compute features/trends → call an LLM with a prompt template to generate analysis and grades → show results in a simple UI.
What it still won’t have
- Native iOS app and App Store UX/push notifications
- Polished mobile UI/interaction refinements
- Any proprietary real-time data or paid odds integrations
- Existing user base, ratings, and reviews
- Built-in premium subscription churn/marketing systems
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
PropGPT: AI Props Analysis 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 AI sports-props web service using Node.js (Express) backend, Postgres, a cron worker (BullMQ) and a React frontend. Scope in: scheduled ingestion adapters for one free sports-stats API and one free odds API, schema and ETL to normalize player/game stats, feature computation (rolling averages, recent trends), LLM integration (OpenAI-compatible API) with prompt templates and response caching, a simple search UI to pick a player/game and display AI-generated grade, confidence, and bullet insights, and Stripe subscriptions for a single paid tier. Scope out: native iOS app, multi-league scaling, and proprietary paid data feeds. Include error handling, rate-limit/backoff for external APIs, unit tests for backend feature computations, end-to-end test for the main analysis flow, and deployment manifests for a single small cloud VM (or managed container) and one managed Postgres instance.
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 productPropGPT: AI Sports Picks App - App Store
- official productSubscription description (App Store)
- official productFeature list (App Store)
Integrity checks
What held up, and what did not.
