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Movies Hub : Movies & TV Shows

Movies Hub : Movies & TV Shows

Hitesh Meniya

Entertainment免费v1.2
App Store
评分

3.7

18 条评分

星级

★★★★☆

最近更新

2026年3月30日

发布日期

2025年11月11日

更新内容

v1.2

- bug fixed

应用信息

开发者
Hitesh Meniya
分类
Entertainment
价格
免费
版本
1.2
App ID
6754978362

简介

MovieHub is your personal doorway into the world of movies and TV shows — designed for fans who love discovering what to watch next. Open the app and dive into a curated universe where every genre has its own spotlight. Browse through fresh collections like Top 10 Comedy, Crime Thrillers, Family Favorites, Romance Picks, Mystery Nights, History Classics, and immersive Sci-Fi Worlds. Every list is crafted to help you find the perfect title without endless scrolling. Jump instantly using smart shortcuts: explore Top Trending Movies, New Movies 2025, Upcoming Releases, Top Rated Titles, and many more quick-access sections created for fast discovery. TV lovers get their own dedicated space — from Popular TV Shows to Top 10 Action Series, Adventure Hits, and dozens of themed categories built for binge-watchers. The powerful search lets you explore without limits. Type any movie or show name and get results instantly — simple, fast, and accurate. Each title opens into a beautifully organized detail page featuring:
 • Title name
 • HD posters & thumbnails
 • Duration & release date
 • Category tags
 • Revenue & budget info
 • Full overview
 • Cast profiles & crew details
 • Official trailers
 • Personalized recommendations MovieHub isn’t just an app — it’s your daily entertainment companion, built to help you discover, explore, and enjoy stories from around the world. Privacy Policy : https://moviestvshowshubpro.blogspot.com/2025/11/privacy-policy-for-moviehub-movies-tv.html Terms Condition : https://moviestvshowshubpro.blogspot.com/2025/11/terms-conditions-for-moviehub-movies-tv.html EULA : https://moviestvshowshubpro.blogspot.com/2025/11/end-user-license-agreement-eula-of.html

下载量预测

专业 · 预览

预估总下载量

1K9003K
保守估计乐观估计

150

低 / 月

222

预估 / 月

429

高 / 月

基于18 条评分
假设评分率1.4%
应用年龄6 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。