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Scary Chat Stories - Addicted

Scary Chat Stories - Addicted

Taras Kalkovets

Book免费v4.3.0
App Store
评分

4.8

16,323 条评分

星级

★★★★★

最近更新

2026年4月24日

发布日期

2018年2月20日

更新内容

v4.3.0

Edit your profile to make your AI stories feel more personal. Plus, enjoy a smoother, more polished experience with the latest fixes and improvements.

应用信息

开发者
Taras Kalkovets
分类
Book
价格
免费
版本
4.3.0
App ID
1344484784

简介

Addicted — scary chat stories two ways: Addicted lets you enjoy horror chat fiction exactly how you like: - Binge read short, scary chat stories free with no waiting screens. - Switch to interactive mode and type your own replies while an AI acts as every other character, turning the conversation into a living interactive story. What you can do - Read continuous chat threads that feel like someone else’s phone, complete with photos. - Guide the plot: type any line or tap a quick reply and watch the AI adapt in real time. - Experience a compact text adventure where each decision can change the ending. - Replay to choose your story again and uncover new paths or hidden achievements. - Browse a growing catalogue of ghost hauntings, stalker thrillers and cursed-tech mysteries; new chapters arrive each week. - Use dark-theme design and large chat bubbles for comfortable night reading. - Play offline after the first download; an optional pass removes ads and unlocks extra image clues. - Tired of ads? You can now subscribe to disable them for uninterrupted play. Why it stands out Interactive mode feels like a mini roleplay game inside a messenger: the AI remembers what you write and responds with natural dialogue, so no two play-throughs are the same. If you just want a quick scare, stay in reading mode and finish a full story during any short break. Download Addicted and decide whether you simply read the next horror tale—or become part of it by typing the very messages that decide who survives. Terms of use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

下载量预测

专业 · 预览

预估总下载量

1.2M816K2.3M
保守估计乐观估计

8K

低 / 月

12K

预估 / 月

23K

高 / 月

基于16,323 条评分
假设评分率1.4%
应用年龄100 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。