AppTracker - Watchlist for App Store Revenue & Downloads

Description

Track app revenue and downloads across App Store and Google Play with favorites, monthly history, and MoM insights AppTracker helps you research and compare mobile apps using revenue/download estimate ranges, a Favorites watchlist, and related-app discovery on the App Store and Google Play. CORE FEATURES - Search iOS and Android apps and view last-month worldwide revenue/download estimates directly on supported store pages. - Add Favorites from app pages and recommendation lists; track monthly watchlist snapshots and month-over-month changes. - Automatically discover three layers of App Store recommendations, merge duplicates and trace source apps. Filter only when BOTH revenue and downloads are explicitly below 5k; unknown metrics remain visible. Sort by download-range lower bounds. NEW IN VERSION 2.2 - Optional AI competitor relevance analysis using your own Chat Completions-compatible service. Configure Base URL, API key, model and prompt; test the model connection. - Paste multiple App Store links or IDs and combine discovery for multiple reference apps. - Choose 1–10 layers (AI default: 5), select/search store countries, or use market shortcuts such as T1, T2 and Southeast Asia. T1/T2 are convenience presets, not universal classifications. - Analyze in batches or one whole request if your model supports the context/output size. Filter by relevance and inspect AI reasons. - Export the entire filtered competitor list to XLSX, including a summary and selected-market sheets. Metrics remain worldwide estimates, not country-specific sales. AI AND PRIVACY AI is optional. Only after you request it are public app names, descriptions, categories, developers, reference apps and your product positioning sent to the AI endpoint you choose. Your API key stays in extension-private local storage and is sent only to that endpoint for authentication. Favorites and unrelated browsing history are not sent to AI. Provider fees may apply and model judgments may be inaccurate. Core metrics/discovery work without AI. Revenue/download figures are third-party estimates and may be ranges, delayed or unavailable. Data access can depend on the provider and your existing site session; no authentication or paywall bypass is provided. Recommendations are cached for 24 hours. Crawls have node/page budgets and explicitly label partial results.

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