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Verda: Home Apothecary

Verda: Home Apothecary

Maria Smirnova

Health & Fitness免费v1.4.0
App Store
评分

4.8

802 条评分

星级

★★★★★

最近更新

2026年2月18日

发布日期

2025年7月2日

更新内容

v1.4.0

We've been busy making your first experience better. - Added fresh content - Smoother start after you subscribe - A quick guided tour to help you explore - Bug fixes and performance improvements

应用信息

开发者
Maria Smirnova
分类
Health & Fitness
价格
免费
版本
1.4.0
App ID
6747746003

简介

Verda puts a trusted home remedy guide in your pocket. Browse or search for natural solutions to everyday aches and worries, then follow clear step-by-step instructions that fit busy lives. Why you will love Verda • Curated for people who care about family wellness and clean living • 20 easy-to-browse categories from Digestion to Sleep • 250+ tried and true remedies with plain-language directions and safety notes • 200+ botanical ingredients explained with benefits, uses, and tips for storage • Quick Search finds answers faster than flipping pages or scrubbing long videos • Favorite any remedy so it is ready when you need it Made for real life Wake up with a scratchy throat. Soothe it with a warm honey-lemon infusion in minutes. Need a calming balm before bed. Find the recipe, measure, mix, and relax. Every preparation is laid out in clear steps with everyday kitchen tools. Learn with confidence Each remedy is reviewed by our herbal consulting team. Educational notes explain how and why an herb works. You will also see cautions for allergies, interactions, and when to call a healthcare professional. Start your herbal journey today Download Verda and join thousands of users reclaiming natural self-care. Your path to gentle, effective healing begins with one tap. Verda is for informational purposes only and does not replace professional medical advice. Always consult your healthcare provider before beginning any new treatment. EULA: 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

73K53K115K
保守估计乐观估计

5K

低 / 月

7K

预估 / 月

10K

高 / 月

基于802 条评分
假设评分率1.1%
应用年龄11 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。