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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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Episode analyses

Showing 1–13 of 13
· 50:20 · ZH + EN

Before copying an organization chart, ask who the business needs and how they deliver together

Guests / narrator:魏小康

Listen: 02:08–02:41, 09:53–13:59, and 36:47–39:11. Wei separates how people operate—selection, deployment, development, incentives, and adjustment—from how people and business work together through goals, responsibility, and cooperation. Recruiting belongs to the first but cannot answer what everyone should complete today.

Startups & organizationsRead analysis →
· 68:42 · ZH + EN

Software Value Lives in the Distance Between User Intent and Results

Guests / narrator:梦琪

Listen: 08:45–16:39. The team first avoided a crowded general-agent market by choosing vertical agents, then sourcing: finding creators, candidates, experts, or customers. All involve finding people and seem to share search capabilities. But that starting point answered how to avoid competitors before identifying a payer’s most important task.

Startups & organizationsRead analysis →
· 65:51 · ZH + EN

Improving the Chance of Success Starts with Admitting Users Have Alternatives

Guests / narrator:Albert

Listen: 01:37–06:49; 17:19–19:51. Albert initially pursued platforms with strong scale and network effects. He tried two-dimensional interaction, mobile joystick controls, and game-like spaces. After building prototypes, he struggled to explain why users would choose them over existing games or Douyin. The eighty-versus-ninety comparison is a metaphor for relative quality, not measured scores.

Startups & organizationsRead analysis →
· 68:20 · ZH + EN

Enterprise AI Must Count Review Work: Jenny on Reliable Workflows, Customers and Capital

Guests / narrator:Jenny Xiao

Jenny describes a Japanese financial company finding document organization and analysis insufficiently reliable. Even mostly correct output needed item-by-item checking, adding work. This turns a strong-model claim into a delivery question: how much work disappears, and what responsibility remains for errors?

Industry & infrastructureStartups & organizationsRead 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 →
· 63:04 · ZH + EN

Albert’s Sequence for Finding PMF: Deliver Judgeable Value, Then Build Advantages That Sustain the Business

Guests / narrator:Albert

Founders often ask whether a model upgrade will erase their feature. Albert moves the question earlier: can you deliver defined value to a defined audience now, and identify which change improved the result? If product quality remains difficult to judge, discussing permanent defenses can lead a team into waiting without feedback.

AI productsStartups & organizationsRead analysis →
· 36:38 · ZH + EN

A company's exit does not settle demand: three separate scorecards for Character.AI

Guests / narrator:曲凯

Listen: 01:08–03:16. Qu first rejects equating the event with the failure of conversational companionship. In his description, model researchers and people continuing the product receive different arrangements. A technical team's decision to enter a large company does not establish that users no longer want character conversations.

Industry & infrastructureStartups & organizationsRead analysis →
· 43:31 · ZH + EN

Enterprise AI’s Business Case: Buying Compute Does Not Establish Product Value

Guests / narrator:周健

After computer vision and process automation, Zhou founded another company in 2023 to connect language models with enterprise work. He offers an optimistic assessment: technology, customers and budgets are ready, while products must connect them. Yet he also acknowledges that useful scenarios often fail to exceed their full costs.

Startups & organizationsRead analysis →
· 53:42 · ZH + EN

Chen Yu’s Technical Judgment: Establish Why It Matters, Then Find Evidence It Can Be Built

Guests / narrator:陈昱

Chen’s background includes software engineering, an MBA and a CTO role. The interview follows his long-standing interest in AI, big data and cloud computing. Qu is a former colleague and expresses admiration for his investing. The useful subject is how technical change, implementation difficulty and business conditions enter one judgment, beyond a list of successful companies.

Industry & infrastructureStartups & organizationsRead analysis →