3.3
43 条评分
★★★☆☆
2026年5月12日
2025年2月25日
更新内容
vV3.1Redesign of The Room • New live map with curated venues, real-time crowd counts, and Waze-style "Update count" so the city stays accurate together. • Daily Connection: one personalized match a day from your extended network, weighted by mutual friends and shared interests. • Roomie — your AI concierge for "where should we go" (Pro feature). • Going + Check In, group chats, and granular privacy controls. • Auto check-in via geofence (opt-in).
应用信息
- 开发者
- WebCreators
- 分类
- Social Networking
- 价格
- 免费
- 版本
- V3.1
- App ID
- 6740430094
简介
The Room shows you what's actually happening tonight — which bars are busy, who's checked in, where your friends are headed, and what's worth walking to. Real signal, not stale reviews. A LIVE MAP OF YOUR CITY Curated bars, restaurants, cafes, clubs, and gyms — each with a live crowd count, today's happy hour, and a one-line vibe so you know exactly what you're walking into. Tap "Update count" when you arrive and the whole city sees it for the next 3 hours. Like Waze, but for going out. ONE NEW CONNECTION A DAY Each morning, The Room picks one person from your extended network — someone you don't know yet but probably should. Mutual friends, shared interests, real reasons to meet. No swiping. No matching with strangers. Just one a day, every day. ROOMIE Your AI concierge for "where should we go." Ask out loud, get a personalized recommendation grounded in what's actually open, busy, and your speed. Available on Room Pro. PLUS • Tell your friends where you'll be with Going + Check In • Wave at someone you'd like to meet • Group chats with the people you actually go out with • Auto check-in, granular privacy, block + mute when you need them The Room is for people who go out. Newport Beach. Paris. Wherever. Privacy Notice: The Room requires age verification (17+) and location services to function. Optional features include contact list connectivity for finding mutual connections.
下载量预测
预估总下载量
57
低 / 月
82
预估 / 月
143
高 / 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。
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