# ZhongTaoTian/WNXHuntForCity

城觅By-Objective-C

Repository: https://github.com/ZhongTaoTian/WNXHuntForCity
Canonical: https://ross.abutalabs.com/products/wnxhuntforcity
Language: Objective-C
License Family: other
Last push: 2017-02-15T13:40:04+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4064, "days_push": 3486, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1921, forks 483 (observed 2026-08-28T04:05:55.233996+00:00)

## What it is
An Objective-C iOS app that clones the Chinese city discovery app 'ChengMi' (城觅), built as a demonstration project. It showcases common iOS UI patterns like drawer navigation, blur effects, search, and animations with commented code and an accompanying blog write-up.

## Use cases
- learn iOS UI development by studying a full example app
- see how to implement drawer navigation in Objective-C
- study blur effect and animation techniques on iOS
- find a reference implementation for a social/city discovery app UI
- learn iOS development from commented sample code

## When to choose
- you are learning Objective-C iOS development and want a complete real-world example
- you want to study specific UI effects like blur, drawers, and transitions
- you prefer sample projects paired with tutorial articles

## When to avoid
- you need production-ready, maintained code for a real product
- you work in Swift or want modern iOS patterns
- you need a licensed codebase for commercial reuse (no license is provided)

## Facets
- artifact type: application
- maturity: abandoned
- function: gui, developer-tools
- domain: mobile-development, education, tutorials
- platform: -
- tags: objective-c, ios-demo, clone-app, learning-project, ui-animation, ios, mobile

## Member repositories
- ZhongTaoTian/WNXHuntForCity (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:55.233996+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:09:41.085571+00:00, confidence not recorded.
  - readme: https://github.com/ZhongTaoTian/WNXHuntForCity (fetched 2026-08-28T04:05:55.233996+00:00, sha aa3b38e8e1f3)
- Data as of 2026-08-30T08:39:29.467469+00:00.