量子书单 - 10分钟听懂一本书

Name: 量子书单 - 10分钟听懂一本书 revenue & download estimates
Creator: AppCurrents

App Store·ReferenceFree + IAP★ 5.00 (1)launched 9mo agoapp updated 7mo agocharts in 1 country

Scout Score

量子书单 - 10分钟听懂一本书 generates an estimated $4–$20/month in revenue from 3–20 downloads/month on the App Store, according to AppCurrents estimates (updated 2026-06-18).

Estimates updated 18.06.2026 · How we estimate · Ranges reflect model confidence, not exact figures.
Est. revenue / month	$4–$20
Est. downloads / month	3–20
Estimate confidence	medium
Pricing	Free + IAP
Rating	5.00 ★ (1 ratings)
Category	Reference
Released	27.08.2025
App last updated	05.11.2025
Platform	iOS

Est. downloads / mo

3–20

Est. revenue / mo

$4–$20

Rating velocity / day

Chart velocity

—

Peak rank

—

Days tracked

—

Modeled monthly estimate · rating velocity · medium confidence

About

量子书单 - AI智能阅读，高效知识助手！告别传统阅读的低效！量子书单运用AI技术，深度拆解经典书籍，提炼核心知识点，助力你在碎片化时间高效汲取知识。无论是个人成长、商业思维、心理学，都能轻松掌握。碎片阅读新体验：每日10分钟，一周精通3本书！充分利用通勤、睡前、午休等碎片时间，切换听书模式，随时随地享受知识盛宴。 AI 精读，提炼干货！ AI智能解读经典著作，提炼书中最具实践价值的内容，帮你快速掌握，灵活应用于生活和工作。掌握时间管理、效率提升、人际沟通等实用技能。深度解析，高效学习！将零碎时间转化为深度知识，让阅读学习更高效、更轻松，助你快速自我提升。个性定制书单，精准匹配阅读需求！根据你的职业发展、兴趣爱好、学习目标，为你量身打造专属书单，助你精准定位优质好书。核心功能： AI 阅读助手：智能解读，提炼精华，摆脱无效阅读。碎片化学习：时间…

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Trends & analysis

Chart rank trend

US · overall

Collecting rank history — no snapshots so far. Fills in twice daily.

Why it's surfacing

Scout 15

Newness

Breakout

Ratings & velocity

★ 0 in window

Total ratings

Jun 9Jun 17

New ratings / day

Jun 17

Rating distribution

100% positive · 1 ratings

5★

100%

4★

3★

2★

1★

Geographic reach

best rank · 1 storefront

#81 category

Revenue & downloads trend

ARPU $2

Est. revenue / mo · $8

$9$8

Jun 9Jun 18

Est. downloads / mo · 5

Jun 9Jun 18

In-app purchases

3 tiers

周卡$1

半年卡$15

年卡$25

Update history

1 update tracked

v1.0.57mo ago
- 解决了一些已知问题。

量子书单 - 10分钟听懂一本书 — FAQ

How much money does 量子书单 - 10分钟听懂一本书 make?

According to AppCurrents estimates, 量子书单 - 10分钟听懂一本书 generates approximately $4–$20 per month (medium confidence), modeled from its the App Store chart performance, rating velocity, and monetization signals.