4.2
28 条评分
★★★★☆
2026年3月28日
2022年5月13日
更新内容
v1.64.2We update the app regularly to deliver a beautiful, smooth, and bug-free experience. This new version includes experiential, performance, and security improvements as well as bug fixes. Enjoy the community!
应用信息
- 开发者
- Weld.com
- 分类
- Education
- 价格
- 免费
- 版本
- 1.64.2
- App ID
- 1604440487
简介
Welcome to the inner circle of welding. This is the official home of Weld.com, the world’s leading resource for welding education and community. With over 1.2 million subscribers on YouTube and hundreds of thousands more across social media, we are proud to run the platform that teaches the world to weld. We’ve built this app to get closer to our community and connect with you personally! Built for Welders, By Welders. Connect directly with the team running the show and the faces you know from our content: - Austin: Our YouTube host and lead instructor. - Beau: The host of the WELD Podcast. WHY JOIN THE WELD.COM COMMUNITY? Whether you’re striking your first arc or you’ve been under the hood for 30 years, this app is designed to help you level up your craft and your career. Crowdsourced Troubleshooting: Got a technical question? Ask a community of welders from every background and specialty. Exclusive BTS Access: Get behind-the-scenes access to Austin and Beau, with content that never makes it to the public YouTube channel. Educational Library: Direct access to welding videos and the full WELD Podcast archive. Monthly Live Q&As: Join our live sessions to get your questions answered in real-time by the Weld.com team. OWN THE EXPERIENCE: Feature Voting: We want this to be your app. Suggest new tools and vote on what features we build next. Industry Calendar: Stay connected to the trade with a calendar of welding events, competitions, and trade shows. From the garage hobbyist to experienced welders, we are building the most powerful network in the trade. Download the Weld.com app today and let’s get to work! Terms Of Service: https://weld.honeycommb.com/terms_of_service
下载量预测
预估总下载量
29
低 / 月
42
预估 / 月
82
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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