5.0
35 条评分
★★★★★
2026年5月6日
2026年2月26日
更新内容
v1.26Custom block screens!
应用信息
- 开发者
- BERG LLC
- 分类
- Productivity
- 价格
- 免费
- 版本
- 1.26
- App ID
- 6756433110
简介
Nudge is an AI-powered focus app that reclaims your wasted phone time. Instead of blocking distracting apps entirely, Nudge lets you use them exactly how want to. HOW IT WORKS: 1. Choose which apps you want Nudge to help you with 2. Tell Nudge how you want to use your apps (e.g., "No political content" or "Let me reply to Sarah's message" etc.) 3. Nudge detects if you get distracted and gently pulls you away from distraction 4. Use your phone exactly how you want and waste no time TWO MODES FOR DIFFERENT NEEDS Task Mode (Pro) AI detects when you're distracted from your stated goal. Get a gentle nudge to get back on track. No willpower required. Timer Mode (Free) Set a time limit for your app usage. Simple, effective, no AI needed. WHY NUDGE IS DIFFERENT • Not just a blocker — You can still use your apps, just more mindfully • AI understands context — Scrolling Instagram for a friend's post? That's allowed. Falling down a Reels rabbit hole? You'll get nudged. • Builds better habits — Over time, you'll naturally become more intentional PERFECT FOR: • Checking "just one thing" that turns into an hour • Social media that steals your focus • Those fed up with other basic app blocking • Anyone who wants to use their phone, not be used by it Timer Mode is completely free. --- Subscription Details: - Nudge Pro Weekly: $12.99/week - Nudge Pro Monthly: $19.99/month - Nudge Pro Annual: $99.99/year (3-day free trial for eligible users) Payment is charged to your Apple ID account. Subscriptions auto-renew unless canceled at least 24 hours before the end of the current period. Manage subscriptions in Settings > Apple ID > Subscriptions. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://www.notion.so/Nudge-Privacy-Policy-2ce4f09a055780899d14eb89f5486b50 Take back your attention. One nudge at a time.
下载量预测
预估总下载量
778
低 / 月
1K
预估 / 月
2K
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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