Build a Pokemon-style dog collecting app

built a dog themed pokemon-style “catch em all” app. Task: Suggested implementation: Build a dog-themed collection app where rarity is determined by regional population data scraped from the American Kennel Club. Use Replit Agent to generate the codebase and handle the data integration. A human must review the scraped data accuracy and approve the final game logic before deployment.; tools: Replit Agent. Human role: The original post does not say how a person stayed involved.; limitations: Prerequisites include access to American Kennel Club public data and a Replit account. The source does not specify costs, API limits, or integration complexities. Human approval is required to ensure data scraping complies with terms of service and that the game mechanics function as intended..

Tools

Replit Agent

Published on Agent Work Atlas:

Overview

built a dog themed pokemon-style “catch em all” app.

Workflow

Suggested implementation: Build a dog-themed collection app where rarity is determined by regional population data scraped from the American Kennel Club. Use Replit Agent to generate the codebase and handle the data integration. A human must review the scraped data accuracy and approve the final game logic before deployment.

Reported result

The source does not report any measured outcomes, user engagement metrics, or technical performance results. It only claims the development process was easy and fun. To verify success, implement a measurable acceptance check such as confirming that the app correctly assigns rarity tiers based on the imported AKC dataset.

Human role

The original post does not say how a person stayed involved.

Limitations

Prerequisites include access to American Kennel Club public data and a Replit account. The source does not specify costs, API limits, or integration complexities. Human approval is required to ensure data scraping complies with terms of service and that the game mechanics function as intended.

Try it

Act as a developer building a dog collection app. 1. Scrape regional dog population data from the American Kennel Club website [replaceable input: specific URL or dataset]. 2. Use Replit Agent to scaffold a mobile-friendly web app where dog rarity is inversely proportional to population count. 3. Implement a 'catch' mechanic that displays the dog's stats. 4. Before finalizing, run a dry test with 5 sample breeds to verify rarity calculations. 5. Present the code and test results to me for approval. Do not deploy or publish until I confirm the data mapping is correct. If scraping fails, ask for an alternative data source.

Original source

Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.

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