5.0
5 条评分
★★★★★
2026年4月13日
2025年7月7日
更新内容
v1.14.1What's New Public Profiles are here! - Tap any user's avatar to visit their public profile — see the public spaces they've created, joined, and how long they've been a member. Your own profile doubles as your account hub for settings and subscription management. - Tap on the Space Members member count on any space to see a list of everyone in that space. Tap any member to jump to their profile. Bug Fixes & Improvements - Improvements to audio loading speeds when entering a space - Fixed an issue where voice notes recorded on Android couldn't be played back in all cases.
应用信息
- 开发者
- Highnote, Inc.
- 分类
- Music
- 价格
- 免费
- 版本
- 1.14.1
- App ID
- 6535646979
简介
WELCOME TO TEAM HIGHNOTE Privately share demos, send mixes to clients, get feedback from collaborators, or let select fans in on exclusive tracks. Drop in stems, alternate versions, or voice notes. Pitch your EP to labels privately or host a group chat to workshop your next release. Get notified when someone listens, comments, or joins your playlist so you always know what’s up. FEATURES - Share playlists of demos, mixes, or stems - Leave voice notes and timestamped comments right on the track - A/B versions with real-time switching - Listeners can drop GIFs, voice notes, and comments that float over the track as it plays - Drop a sticker when the take hits just right - Link reference playlists, stems, PDFs, lyrics, and other project files - Link your Instagram, YouTube, and TikTok directly in your playlist - Share privately via link or email - Protect unreleased work with password-protected links - Chat with bandmates, managers, or clients in the same space - Import directly from Voice Memos, Files, or your DAW - Get notified when someone listens or leaves feedback LEGAL Terms of Service – https://www.highnote.fm/legal/terms-of-service Privacy Policy – https://www.highnote.fm/legal/privacy-policy SHARE FEEDBACK Email us – help@highnote.fm DM us on IG – @highnote.fm
下载量预测
预估总下载量
25
低 / 月
37
预估 / 月
71
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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