Signal to BuildSIGNAL TO BUILD中文Owner sign in ↗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.
Guests / narrator：Albert
Albert reports that five or six team members using coding agents produced dozens of small tools in two months, with no revenue from those experiments at the time. Satisfying a personal habit differs from accepting responsibility for external users, growth, operations and reliable delivery.
Guests / narrator：张阳
Once AI writes code, can small games be consumed in a scrolling video-like feed? Zhang’s team explored that direction, then chose deeper creation tools and play among friends. Ordinary generated material may offer strangers limited value, while friendship supplies a shared reason to care.
Guests / narrator：张海龙
Qu Kai asks Zhang Hailong, who has more than twenty years of programming experience, to explain the excitement around Cursor. A useful distinction emerges: helping a person operate faster and accepting a task for independent completion are different product promises.
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.
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.
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.
Guests / narrator：李岩
Host Qu Kai used Suno to generate an opening theme, selecting one from almost a hundred candidates. This already demonstrates both the attraction and a cost of AI music: an ordinary person can produce it, while a satisfying result still requires selection.
Guests / narrator：张涛（Hidecloud）
Hidecloud previously designed consumer products and worked on customer success, presales and consulting at 神策数据. Reflecting on roughly seven months of AI practice, he repeatedly emphasizes understanding through direct work: how a model receives input, where it fails and which change makes an interaction possible. His argument does not require every product manager to become an algorithm engineer.
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.
Guests / narrator：张阳
How can a team outside its target market know whether it is building something people need? Zhang Yang begins by asking whether the team obtains real, firsthand information continuously and connects that understanding to product, payment and acquisition.
Guests / narrator：张路宇
How far is a model that answers questions from an application a business can use over time? This 2023 interview breaks that distance into handling information, testing instructions, organizing tools and operating the product after launch. Dify’s ambition includes a workspace through which business colleagues can keep shaping an application.