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看理想-看见另一种可能 revenue
~328/mo
ML revenue forecast.
Calibrated against 2020 apps in this category.
Confidence band
±15%
High — many comparable apps with verified data
At a glance
Earns 2.0× less than the category median (642/mo). Ranks #1,157 of 2,020 in Food & Drink (top 57.3% by revenue). Ratings volume grew 545.4% over the last 30 days, suggesting active user acquisition.
Launched Sep 23, 2018 · last updated May 07, 2026.
24 months of snapshot history tracked.
What the app looks like
Live screenshots from the App Store, captured by our snapshot worker. Tap any image to enlarge.
看理想-看见另一种可能's revenue trajectory
Forecast revenue from snapshot history. Last 24 months.
Where 看理想-看见另一种可能 sits in Food & Drink
Revenue distribution of 2020 comparable apps. 看理想-看见另一种可能 highlighted.
看理想-看见另一种可能 vs comparable apps
Revenue trajectory side-by-side. Bold = 看理想-看见另一种可能, ghosted = peers.
App spec
What 看理想-看见另一种可能 actually does (from App Store listing)
“看理想”是一座线上的“文化中心”，你能遇到梁文道、陈丹青、贾樟柯、刘瑜、葛兆光、白先勇、窦文涛、许子东、杨照、徐贲、马家辉、詹青云……等等各个领域的创作者，并可以发现更多志趣相投的朋友。
看理想，专注原创音视频内容的出品，以文化品牌理想国的图书为起点，我们从文字、影像延伸到了移动应用。
全新上线的“理想家”，突破了常规的会员模式，将用户与创作者密切地联系在一起，同时将音视频节目与图书阅读、空间体验做更加多重又创新的结合。
一切知识以及文化创作、参与者，都是看理想这座文化中心的演员，每天都有不同剧目轮番上演。走进这片使人神不睱给的空间，你会发现求知根本用不着焦虑，反而可以缓解工作和生活中的负面情绪。
因为好奇心的开拓和满足，本来就该让人享受到深度的快乐；更因为真正的知识，以及获取知识过程中的相互激发，会让我们在平凡的世界里，发现立体的趣味。
看理想希望与你一同关注当下，探索未来。
已上线音视频节目包括：梁文道《一千零一夜》《八分》、陈丹青《局部》、刘瑜《可能性的艺术：比较政治学30讲》、贾樟柯《电影，我只略知一二》、詹青云《正义与现实：像律师一样思考》、杨照《中国原典通读计划》、徐贲…
Read full description →
“看理想”是一座线上的“文化中心”，你能遇到梁文道、陈丹青、贾樟柯、刘瑜、葛兆光、白先勇、窦文涛、许子东、杨照、徐贲、马家辉、詹青云……等等各个领域的创作者，并可以发现更多志趣相投的朋友。
🆕 What's new · v4.12.1
- 数字图书馆文章新增 AI 朗读功能
- 优化了播放和搜索的体验
- 节目上新推荐：陈丹青《离题而谈 | 第三季》、杨素秋《我们的肉身与烦恼》、杨光《不止减压的正念艺术》、杨芮《爱与痛：从痛苦中松绑的30次尝试》
Comparable iOS apps
The five apps in Food & Drink with the closest revenue to 看理想-看见另一种可能. Click any to see its detail page.
Own 看理想-看见另一种可能? Replace our estimate with your real revenue via Stripe Connect or ASC. Get a public Verified badge.
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How we calculated this
Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag.
The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR.
Every number on this page comes from public APIs and bumetric's own snapshot history.
Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors.
See also the live data on 看理想-看见另一种可能's tracker page for current rating, reviews and snapshot timeline.
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