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Loving Kindness

Loving Kindness

Monkey Taps LLC

Lifestyle免费v5.0.0Android
Google Play
评分

4.8

1,161 条评分

星级

★★★★★

最近更新

2026年5月14日

发布日期

2023年10月30日

应用信息

开发者
Monkey Taps LLC
分类
Lifestyle
价格
免费
版本
5.0.0
安装量
50,000+
包名
com.hrd.lk

简介

Embrace compassion and nurture positive emotions with the Loving Kindness app. Loving Kindness meditations, also known as metta meditations, are an ancient Buddhist practice that inspires feelings of empathy, interconnectedness, and kindness toward all beings… including yourself. With the Loving Kindness app, you’ll receive gentle reminders throughout your day encouraging you to take a moment, leave your surroundings aside, and focus on your heart-center. Tailoring your Loving Kindness mantras to your lifestyle is simple: - Choose topics that resonate with you. - Customize your mantras to include people or groups in your life that need a little extra Loving Kindness. - Select a schedule that works for you. - And let the Loving Kindness app do the rest! We’ll deliver the customized, pre-written Loving Kindness mantras you want, when you want them, so you can effortlessly integrate this powerful practice into your daily routine. It’s up to you how you choose to use your mantras: on their own, for a short burst of inspiration and contemplation, or to enhance your current meditation practice. But whether you’re a beginner or an experienced meditator, one thing stays the same. The Loving Kindness app will help you cultivate a more positive and caring mindset. The power of Loving Kindness meditations is undeniable; they’ve been scientifically proven to increase feelings of empathy, compassion, and overall well-being. Plus, they can help reduce feelings of anxiety and depression, lower stress, and improve relationships. Everyone could use a little bit more Loving Kindness in their lives, and our app brings it right to your phone. So start spreading compassion and goodwill today with the Loving Kindness app.

下载量预测

专业 · 预览

预估总下载量

86K58K166K
保守估计乐观估计

2K

低 / 月

3K

预估 / 月

5K

高 / 月

基于1,161 条评分
假设评分率1.4%
应用年龄31 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。