Guest: Yu Beichuan, founder of Lessie AI and an early product manager on Douyin; roles at the time
Host: Qu Kai
Originally published: November 8, 2025 | Duration: 84 minutes 49 seconds
Edited: October 18, 2026 | Official episode
Douyin's early growth and the people-search agent Lessie AI seem to belong to different eras. They share a question: after users arrive, can the product create another cycle of value? A content community needs supply, consumption, and recommendation to work together. A people-search tool must establish useful individual productivity before a possible relationship network.
Yu joined Douyin in 2018 and mainly recalls consumer product and growth work through 2020. He acknowledges that explanations available today were not clear then. This reading preserves uncertainty, failures, and external conditions rather than turning success into a guaranteed recipe.
1. Improving relationship metrics does not establish social interaction
Listen: 02:49–16:32. Yu recalls roughly forty million daily users when he joined, alongside anxiety about an entertainment product's ceiling. Familiar-person social features might create reasons to return even without wanting video, strengthening retention and broadening adoption.
Natural interaction cannot simply be decomposed into friend counts and frequency. Once those measures become individual targets, rewards and prompts can raise them without giving people a reason to maintain contact. Locally completed goals can coexist with an incoherent experience.
This is a problem with proxy measures, not evidence that data is useless. A recorded friend does not necessarily represent a valuable relationship, and rewarded interaction may never recur. Observe why people return after rewards and campaigns end.
Yu recalls a 2019 holiday campaign intended to build social behavior, then redirected toward acquisition two weeks before release. Neither objective went well. Campaigns can induce actions without creating lasting settings, while shifting strategy weakens the follow-through for both objectives.
2. Early identity comes from choosing supply and people together
Listen: 18:04–28:05. Yu attributes early differentiation to avoiding broad traffic from Toutiao, a youthful brand and dark interface, and strong content operations. Dance, skateboarding, extreme sports, and technical camera work served a specific young audience. Together they communicated who would feel at home.
Algorithms did not know the answer on day one. With limited content and behavior, human curation selected a direction and supplied representative work with exposure. Operations helped generate initial learning signals rather than merely decorating an algorithm.
Expansion required more than a broader audience declaration. Yu describes introducing new creator categories, providing initial exposure, receiving consumption feedback, letting recommendations learn, and attracting new audiences through that supply. Without exploration traffic, a category can remain trapped by its lack of historical performance.
Young people's broader interests are his experience-based interpretation, not a demographic law. The three early choices lack a controlled comparison. Editorial inference: Small teams should borrow alignment among brand, seed audience, supply, and distribution rather than copy a black interface. Chaotic traffic can raise headcount while diluting learning signals.
3. One or two columns change more than viewing efficiency
Listen: 28:16–31:41 and 32:53–43:32. Full-screen single-column feeds enable continuous viewing and easy insertion of the next item or advertisement. Two columns ask people to choose a cover and may create more room for ordinary creators and image posts. Yu recalls more evenly distributed traffic and prominent comments on early Kuaishou producing different creative incentives.
Longer viewing does not necessarily mean a healthier ecosystem. Whether ordinary creators receive initial feedback and publish again affects future supply. Efficient head content consumption and feedback for ordinary contributors can require tradeoffs beyond watch time.
Asked why not run an A/B test, Yu notes that creators serve consumers inside and outside experimental groups. Randomizing consumers may not isolate long-term supply effects. The problem is spillover and time, not a ban on experimenting with ecosystems. Grouping, stages, and longer observation need consideration.
Containers also favor different material. Twenty- or thirty-minute knowledge and travel videos require another kind of patience. Written guides can fit situations where sound is unavailable. Dense feedback from short content does not establish universal distribution superiority. The episode's colloquial “mindless” describes low-effort relaxation here, rather than a judgment about users or content.
4. Large acquisition spending needs recovery economics and coordination
Listen: 34:42–37:03 and 48:55–58:14. Yu compares entry motivations in Weishi and WeChat Channels: mixed supply and heavy traffic may fail to define a new community, while friends' likes can provide a reason to enter and generate real consumption signals. This is his explanation, without controlling timing, organization, or other causes.
At a later stage he recalls a lightweight app, Huoshan's renaming, and traffic coordinated across the group. Early avoidance of broad traffic and later group promotion need not conflict because the product's capacity to serve arrivals had changed. His recollections of two billion renminbi in 2020 holiday rewards, a 470 million daily-user peak, and positive returns based on lifetime value are not audited here. Pandemic effects on subsequent retention also matter.
The mechanism is not simply spending boldly. Acquisition, usage, and monetization must support continued investment. Lifetime value requires real retention, revenue, and cost assumptions. Small teams cannot copy a large group's subsidy scale.
Yu also challenges the idea that A/B testing allowed indiscriminate launches. Large product changes required argument and review before experimental acceptance. Yet caution could miss opportunities; he would have tested live streams in the main feed earlier. Preserve existing experience while allowing controlled exploration of new settings.
5. Culture is action; ambition begins by rewriting the question
Listen: 58:40–01:06:03 and 01:18:27–01:21:47. Yu emphasizes reducing status labels and allowing young staff to discuss work directly with senior decision makers. That encourages responsibility. Culture consists of early people's habits influencing later hires; expansion changes this transmission, and slogans alone cannot preserve it.
“How can this grow ten percent?” differs from “How could it grow two to five times?” The first invites accumulated feature optimizations; the second forces consideration of channels, resources, and strategy. The technique breaks inherited assumptions rather than automatically demanding more budget or longer hours.
Founders must also step outside familiar operating tasks. Documents and bug checks provide immediate feedback while potentially avoiding harder questions: product definition, critical leaders, and resources for the next six to twelve months. Detail remains important, but organizing continued company existence becomes part of the job.
Editorial inference: Review both improving current actions and changing crucial constraints each week. The latter needs concrete outputs too, such as a hiring responsibility, a cash assumption, or a narrower audience—not merely an entry called strategy.
6. Lessie's two-sided vision starts with one side willing to pay
Listen: 01:07:07–01:17:54. Lessie AI then positioned itself as an assistant for sales, marketing, export businesses, and recruitment: search databases, review profiles, find contact information, and assist outreach. Its entry point is labor-intensive one-to-many search. Efficiency and accuracy remain the founder's product claims without independently demonstrated success rates.
The longer vision is that more AI-assisted outreach creates demand for recipient-side filtering. Platform follows, conversations, and profile claims might emerge. Starting directly with both sides risks too few participants giving either side value. Instead, existing email channels support a useful, paid one-sided tool before testing whether relationships grow.
Two gaps remain: finding someone does not establish willingness to be contacted, and sending more does not mean more cooperation. Consent, information accuracy, rejection, and quality need independent design. A prospective network cannot be treated as already established by search features.
Asked about large companies entering, Yu connects three questions: what endures, why a window exists now, and how growth occurs within it. User information and networks also require lawful use boundaries. A giant's temporary inattention is not permanent defensibility.
Exercise: add a falsifying signal to the growth chain
Choose a new content category. Record supply introduction, initial exposure, useful consumption, repeat creation, and incoming users. Add a failure signal to each: rising clicks without completion, satisfied viewers without creator feedback, or users returning only while rewards persist.
For a people-search or communication tool, separately describe sender value, recipient value, mutual agreement, and existing channels available before both sides form a network. Choose one main growth goal and specify what happens after the campaign. The point is to identify the next cycle of value rather than accumulate actions.
Source boundary
This reading uses the official introduction and complete transcript. Operating figures, resources, and company comparisons for 2018–2020 are Yu's recollections. Earlier origin stories were heard later, not personally witnessed. Lessie's efficiency, network, and development path are product statements and aspirations from 2025. Closing music is not treated as host commentary, and damaged numbers are not reconstructed. Editorial inferences and the exercise are identified separately.
Listening navigation
- 10:51–16:32: Relationship goals displaced by metrics.
- 18:04–28:05: Identity, curation, and learning through expansion.
- 28:16–31:41: Containers, creators, and experimental spillover.
- 37:24–43:32: Contextual limits on content distribution.
- 46:23–58:14: Campaign objectives, group growth, and review.
- 58:40–01:06:03: Habits and reframing growth questions.
- 01:07:07–01:21:47: Lessie's entry point and founder responsibilities.
Related themes: content cold starts, growth evidence, one-sided tools becoming networks. Further listening: FlowGPT's creator ecosystem and Mercor's matching and fulfillment.