Content / Creator EconomyChina
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JOURNEY · DETAIL
Zhihu: A content platform driven by the dual wheels of elite Q&A community, AI data infrastructure, and IP operations
Founded: Zhou Yuan, Huang Jixin, Zhang Liang · Zhihu
JOURNEY
Key Fields
FIELD STAMPSIndustryContent / Creator Economy
RegionChina
ScaleMid-size
ChannelOnline
Origin
In 2010, after the failure of his search engine startup Meta Search, Zhou Yuan observed that the Chinese internet lacked a high-quality, structured knowledge Q&A community. Inspired by America's Quora, he founded Zhihu at the end of 2010. Initially operating on an invitation-only basis, it gathered tech and venture capital elites such as Li Kaifu, Xu Xiaoping, and Ma Huateng, aiming to accumulate high-quality professional discussions and form a trust-based knowledge community. Zhihu's early positioning pursued professional problem-solving and answer depth rather than traffic and entertainment.
Milestones
2010
Founded Turning Point
Zhou Yuan founded Zhihu in 2010, initially operating on an invitation-only basis. Its first batch of users included hundreds of venture capital and tech figures like Li Kaifu and Xu Xiaoping. This elite positioning laid a high-quality content tone for the community, but also sowed the seeds for subsequent tension between growth and commercialization. In 2011, Zhihu completed its angel round of financing from institutions like Sinovation Ventures, keeping its user scale controlled at the thousands level.
2013
Open Registration Turning Point
In 2013, Zhihu opened registration to the public, with user numbers growing from 400,000 to 4 million within a year, and traffic multiplying dozens of times. However, a dilution of content quality followed; early elite users began to churn, and the community discussion atmosphere became generalized. During this stage, Zhihu needed to balance scale growth with content quality, laying hidden troubles for community governance challenges during future commercialization processes.
2018
Commercialization Exploration Period Failure
Zhihu successively tried paid products such as native ads, Zhihu Zhihu, Zhihu Live, and Bookstore, launching the 'Knowledge Market' section in 2017. However, most products failed to scale. By 2018, Zhihu Live revenue accounted for a very small share, and advertising remained the primary revenue source. At that time, the knowledge payment boom was captured by Dedao and Himalaya. Zhihu lacked head IPs and operational capabilities in paid content, and its commercialization exploration temporarily stagnated.
2021
IPO Turning Point
In March 2021, Zhihu went public on the NYSE with an issue price of $9.5, raising $523 million and reaching a market value exceeding $4.7 billion at its peak. However, it broke its issue price on its first day of trading, and its stock price remained sluggish for a long time afterward. The listing exposed problems such as Zhihu's single revenue structure (advertising accounting for over 80%) and continuous losses—a net loss of 1.299 billion RMB in 2021, with about 70% of its market value evaporating from its peak. Capital market scrutiny forced Zhihu to accelerate its diversified transformation.
2023
Strategic Contraction and Adjustment Turning Point
In 2022, Zhihu underwent organizational restructuring, with Zhou Yuan personally taking charge of the commercialization department and contracting cash-burning businesses like video transformation. In 2023, Zhihu's revenue was 4.2 billion RMB, and its net loss narrowed to about 250 million RMB. In 2024, it launched Yanyan Stories and the independent AI search product 'Zhihu Zhida', and began licensing community Q&A data externally for AI training, establishing the transformation direction of 'AI data infrastructure + IP operations'.
2025
First Full-Year Profitability PMF
In 2025, Zhihu achieved full-year profitability for the first time, with annual revenue of approximately 3.7 billion RMB, turning a net profit. The drivers of profitability came from three aspects: the AI data licensing business (providing training data to large model vendors) contributed high-margin revenue, the scaled growth of the paid reading business (Yanyan Stories), and a significant reduction in sales expenses. Q2 2026 revenue was 690 million RMB, among which new AI-related businesses became a growth highlight, but the number of paid subscribers decreased by about 600,000 year-on-year, exposing the problem of sluggish user growth.
Turning Points
- In 2013, Zhihu shifted from an invitation system to open registration, achieving leapfrog user scale growth while also causing fundamental changes in content quality and community atmosphere
- After listing on the NYSE in 2021, its stock price remained sluggish and its market value shrank significantly, forcing management to shift from pursuing growth to pursuing profitability
- From 2023 to 2024, Zhihu licensed community data externally for AI training, opening up a third revenue curve distinct from traditional advertising and memberships
- Achieving full-year profitability for the first time in 2025 marked Zhihu's formal transition from a loss-for-growth model to a profit-oriented operating logic
Failures & Pitfalls
- Around 2016, Zhihu's video strategy invested massive resources but failed to integrate with the community ecosystem, eventually leading to large-scale contraction and resource waste
- Paid knowledge products like Zhihu Live and Zhihu Zhihu failed to form scale revenue after launch, were suppressed by competitors like Dedao, and were ultimately marginalized
- When Zhihu launched a short video product in 2022, acquisition and operations fell short of expectations; coupled with a downturn in the advertising market, full-year losses widened and market value fell to historical lows
关键成功要素
- Rooted in a high-quality Q&A community, Zhihu has established a professional content barrier that is scarce on the Chinese internet, serving as the core asset for its data licensing business
- AI data licensing has become the key for Zhihu to break out of losses—by 2026, AI-related businesses have contributed considerable revenue with gross margins far higher than traditional advertising
- Paid reading products like Yanyan Stories have verified the monetization capability of Zhihu's community derivative content on independent apps, though user growth has encountered bottlenecks
- Zhihu shifted its revenue structure from relying on advertising to multi-engine-driven; behind its first profitability in 2025 is a sharp optimization of the sales expense ratio and improved organizational efficiency
Lessons
- An elite community will inevitably face content dilution after opening registration, requiring product mechanisms and organizational adjustments to cope with community governance challenges brought by user expansion
- Profitability pressure from a public company will force business focus; Zhihu walked toward profitability only by cutting unprofitable video initiatives and over-expanded businesses
- The long-term accumulation of community UGC content can be transformed into training data assets in the AI era, but the boundaries of user authorization and privacy must be handled properly
- The ceiling of a knowledge community lies in user growth; Zhihu's decrease of 600,000 members indicates that the paid penetration rate of an existing community is difficult to sustain through content expansion alone
Core Data
- 2025年全年营收：3.7 billion RMB (publicly disclosed figures, independent review not verified)
- 2025年净利润：First full-year profitability, turning a net profit (publicly disclosed figures, independent review not verified)
- 2026年二季度营收：690 million RMB (publicly disclosed figures, independent review not verified)
- 2026年二季度付费会员数：Decreased by 600,000 year-on-year (publicly disclosed figures, independent review not verified)
- 2021年上市融资额：$523 million (publicly disclosed figures, independent review not verified)
- 2021年净亏损：1.299 billion RMB (publicly disclosed figures, independent review not verified)
- 市值高点：$4.7 billion (publicly disclosed figures, independent review not verified)
Competitors / Peers
Zhihu's competitors in the knowledge Q&A and content community sectors include Xiaohongshu (lifestyle community), Bilibili (video content community), Baidu Tieba (traditional community), as well as knowledge payment players like Dedao and Himalaya. Unlike Xiaohongshu, which emphasizes recommendation-to-conversion, and Bilibili, which relies on video creators, Zhihu's core barrier lies in the depth and structure of text-based professional Q&A. However, under the impact of short-video and live-streaming content formats, Zhihu is at a disadvantage in user time spent. Its coping strategy is to transform into an AI data service relying on high-quality corpus. Compared with vendors like Baidu and ByteDance that master massive large-model training data, Zhihu's advantage lies in the scarcity of its community Q&A data.
Sources
- https://36kr.com/p/3478010704452229
- https://prewww.tmtpost.com/7973787.html
- https://www.zhitongcaijing.com/content/detail/1487061.html
- https://finance.sina.com.cn/roll/2026-08-26/doc-iniprytr6000121.shtml
- https://news.qq.com/rain/a/20260403A021MO00
- https://finance.ifeng.com/c/8vvy9vQgrwn
- https://www.yemacaijing.com/Index/view/id/95940.html
- https://www.21jingji.com/article/20260330/herald/460169b1854d590ebc0a3b2d63e971f9.html