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42 ZHANGJING · EPISODE COLLECTION

42 Zhangjing · Episode notes

Find the mechanisms, cases and conditions in each episode. Start with a topic, follow a guest, or read chronologically to see how perspectives change.

Dates refer to original episode releases. An episode may have multiple topics; roles and claims retain their historical context.

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Showing 1–9 of 9
· 52:35 · ZH + EN

OpusClip’s Growth Learning Sequence: Find Partners, Identify Value Moments, Then Repair Retention Leaks

Guests / narrator:谢君陶

Juntao joined OpusClip in 2023 and worked on payments, commercialization and growth products. Edited from a live presentation and questions, the episode covers acquisition, conversion, retention and insight. Its central idea is to make growth actions opportunities to understand users, beyond finding another traffic source.

Growth & global marketsRead analysis →
· 48:32 · ZH + EN

Growth Is Part of the Product: ACE Studio’s Experiments With Pricing, Channels and Feedback

Guests / narrator:Joe

The title connects three months in the United States, conviction and ten-million-dollar ARR. Joe is more specific: ACE Studio then earned about US$800,000 monthly, compared with a previous level above US$80,000. Growth was slow for five weeks before a change from week six. Multiplying US$800,000 by twelve gives about US$9.6 million, a monthly run rate rather than proof of full-year collections or revenue entirely meeting recurring-revenue definitions.

Growth & global marketsStartups & organizationsRead analysis →
· 35:31 · ZH + EN

Gaotu’s AI Implementation: Serve Neglected Customers Before Discussing the Replacement of Top Salespeople

Guests / narrator:封诚

If a company connects AI throughout its processes and reports impressive coverage, has its business improved? Feng Cheng examines acquisition, conversion and delivery, then concentrates on leads already obtained: potential customers who receive slow responses or inadequate explanations.

Agent practiceGrowth & global marketsAI productsRead analysis →
· 79:21 · ZH + EN

Three Routes to AI Product Fit: Help Beginners Finish, Professionals Refine, and Fans Return

Guests / narrator:赵充 / Joe / 胡修涵

Product–market fit, or PMF, means that a group of people repeatedly finds a product worth using or paying for. These three interviews show why no single number proves it for every business. An occasional office tool can first demonstrate that individual tasks merit payment. Professional software needs to participate in real delivery. A character entertainment product must explain why people return.

AI companionshipGrowth & global marketsAI productsRead analysis →
· 49:57 · ZH + EN

FlowGPT’s Early Growth: Let Creators Finish the Experience, Then Ask Why Users Return

Guests / narrator:Jay 党嘉成

A prompt contains instructions, background and rules supplied to a model. Sharing one can resemble sharing a template, but a consumer may actually want a text adventure, a conversational character or a tool that repeatedly completes a task. FlowGPT’s changing description reflects a move from collecting instructions toward consuming those experiences directly on its platform.

AI companionshipGrowth & global marketsAI productsRead analysis →