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TIDY - Cleaning & Maintenance

TIDY - Cleaning & Maintenance

Tidy Services Inc

Lifestyle免费v1.79.1
App Store
评分

3.8

1,100 条评分

星级

★★★★☆

最近更新

2026年5月10日

发布日期

2016年9月9日

更新内容

v1.79.1

Manage Property Upgrades and Happiness per home. Digital Guidebook is now in the main menu. Smoother bank linking and faster mobile Schedule.

应用信息

开发者
Tidy Services Inc
分类
Lifestyle
价格
免费
版本
1.79.1
App ID
1133337954

简介

WHY TIDY 1. AI agents + humans handle ALL cleaning & maintenance for you. 2. Maintains a digital twin of your property for smarter decisions. 3. Agents to schedule & message pros so you don't have to. 4. Works with your existing pros (they won't even know). 5. Find the perfect new pro with the smart Pro Search Agent. 6. All jobs are customized to you 7. Trusted 12+ years by 100,000+ homeowners & property managers. 8. Care for your properties like it's 2026, not 1996, with TIDY. HOW IT WORKS 1. Easily just chat with us anytime, 24/7 (humans and AI both). 2. Make a digital twin of your property 3. Set your schedule and preferences—customize everything 4. Book services or set up recurring maintenance 5. Track everything in real-time with photo/video documentation 6. Review, rate, and rebook with one tap WHAT SERVICES YOU CAN BOOK/MANAGE Regular cleaning • Deep cleaning • Move in/out cleaning • Handyman repairs • Landscaping • Lawn care • Pool maintenance • HVAC service • Appliance repair • Pressure washing • Window cleaning • Gutter cleaning • And 40+ more categories WHO IT'S FOR • Homeowners who want a smarter way to manage their home • Vacation rental hosts (Airbnb, VRBO, short-term rentals) • Property managers coordinating multiple properties • Anyone tired of unreliable service providers and manual coordination WHAT PEOPLE SAY "I stopped having to play phone tag with vendors." -Sarah M. "Game changer for my Airbnb business. Everything just happens automatically now." -James K. GET STARTED Download TIDY and take care of your properties the way you should in 2026.

下载量预测

专业 · 预览

预估总下载量

81K55K157K
保守估计乐观估计

466

低 / 月

691

预估 / 月

1K

高 / 月

基于1,100 条评分
假设评分率1.4%
应用年龄118 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。