IG Audit is a premium SwiftUI iOS application that analyzes public Instagram profiles and generates a clean, shareable account score with detailed performance breakdowns and actionable recommendations. It is designed for creators, marketers, agencies, social media managers, and indie founders who want a fast way to review an Instagram account’s overall health, engagement quality, posting consistency, and audience signals. :contentReference[oaicite:2]{index=2}
The app provides a polished mobile-first user experience with a modern dark UI, niche-based benchmarking, results tabs, detailed insights, and native score sharing. Users can enter an Instagram handle, choose a niche, run an audit, and instantly see a score dashboard with engagement analysis, shadow-ban risk indicators, follower quality estimates, posting pattern signals, and recommended posting times. :contentReference[oaicite:3]{index=3}
These features are implemented in the project and documented in the included README and changelog. :contentReference[oaicite:4]{index=4} :contentReference[oaicite:5]{index=5} :contentReference[oaicite:6]{index=6}
The shipped app flow is Home → Loading → Results with Overview / Insights / Details and a native share sheet. :contentReference[oaicite:7]{index=7}
The documented stack includes Swift, SwiftUI, async/await, ObservableObject with @Published and Combine, URLSession, and UserDefaults. :contentReference[oaicite:8]{index=8}
This project is designed as a zero-backend solution. It performs best-effort public profile fetching via lightweight web requests and does not require official Instagram Graph API keys. If Instagram changes endpoints or blocks the request, the app can gracefully fall back to cached data or deterministic demo data so the user experience remains testable and functional. :contentReference[oaicite:9]{index=9} :contentReference[oaicite:10]{index=10}
This app does not use the official Instagram Graph API. Public profile fetching is implemented using best-effort public endpoint and HTML strategies, so live fetch reliability may vary depending on Instagram changes, rate limits, or blocking behavior. To keep the product usable, the app includes cache fallback and demo fallback behavior. Scores and shadow-ban style signals are heuristic estimates intended for educational and product-use purposes. :contentReference[oaicite:11]{index=11} :contentReference[oaicite:12]{index=12}
The README explicitly positions the app for creators, marketers, and social media managers who want a quick, shareable snapshot of account health. :contentReference[oaicite:13]{index=13}
The included documentation explains where to change app name, in-app text, bundle ID, app icon, accent color, and centralized UI theme values. :contentReference[oaicite:14]{index=14}
The project includes the Xcode app, SwiftUI sources, services, models, local AI engine, assets, and documentation. :contentReference[oaicite:15]{index=15}
The documented minimum deployment target is iOS 17.0. :contentReference[oaicite:16]{index=16}
Version 1.0.0 is the initial release and includes the complete core user flow, native share sheet, public profile fetch, cache and demo fallback, on-device audit engine, and local persistence. :contentReference[oaicite:17]{index=17}
IG Audit is a sleek, ready-to-publish iOS app template for Instagram account analysis. It combines premium SwiftUI design, practical analytics-style scoring, actionable insights, and a zero-backend setup into a product that is easy to brand, easy to launch, and easy to position for creators and agencies. If you want a modern mobile app product that looks premium and solves a clear marketing use case, IG Audit is a strong starting point.
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After my work is completed, your application will be 1000% ready for publishing on the App Store or Google Play.
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