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：吴浩哲
The introduction reports 34,000 stars within half a year of Vibe-Trading becoming open source. Wu recalls moving from specialist quantitative tools toward a multi-perspective research workstation. Stars measure attention rather than completion, live performance or verified returns.
Guests / narrator：逯雨鑫
The official claim concerns Hugging Face’s Model Trending popularity list, not first place in overall performance. Lu post-trained an existing model rather than pretraining a general model from scratch. Improvement on a task does not establish stronger capability everywhere.
Guests / narrator：孟繁青
Meng used a mature training platform inside a model company. Starting a business meant building platforms and finding a complementary opportunity. Turning training into a service simplifies data submission and execution without automatically making the data valuable.
Guests / narrator：曲凯
Listen: 01:03–05:34. Qu recalls successive swings: uncertainty about model–application relationships in 2023, cooling and recovery in 2024, reasoning and agents sustaining expectations in 2025, and stronger models alongside colder application funding in his circles during 2026. He says this is the first time he has heard firms declare the category dead.
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.
Guests / narrator：朱宁
Listen: 01:27–03:59. Zhu identifies overconfidence, linear extrapolation, and herding. After prices rise, people remember having predicted them and credit their own ability. This encourages larger subsequent commitments.
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.
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：RC
RC runs his company on Slock, growing from one person to seven people and forty agents. That describes the contemporary team, not an experimentally optimal ratio. More useful are his responses to duplicated tasks, misplaced context, drifting identity and limited human review capacity.
Guests / narrator：徐宇豪（Austin Xu）
A personal assistant centers its owner. A colleague must understand the company, projects and recipients. Xu connects Kuse’s changes with internally deployed agents and Junior’s definition. Memory ownership, action boundaries and accounting distinguish the product from additional chat windows.
Guests / narrator：王文锋
Listen: 00:56–13:46. Wang treats Manus and OpenClaw as two releases of capability. The former demonstrated reasoning models in research tasks; the latter connected coding to more tasks, communication channels, and memory. Messaging integration is not the whole explanation. The coding agent’s ability and the surrounding configuration, coordination, and presentation work together.
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.
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：黄东旭
Across Claude Code, Skills and Clawdbot, Huang sees coding capability spreading outward: a system can write programs that supply missing tools. Performing an action still differs from delivering it repeatedly, reliably and economically.
Guests / narrator：张津剑
The introduction uses the listings of 智谱 and MiniMax as a three-year milestone, inviting the podcast’s first guest to review AI again. Investment outcomes and market descriptions remain contemporary perspectives. A listing cannot alone validate products, returns or every early hypothesis.
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?
Guests / narrator：张路宇
In 2023, Dify helped users understand new technology through visual prompt engineering and RAG. By this retrospective, Luyu was talking more about business users, upgrade compatibility, organizational processes and human feedback. That shift offers a useful way to examine AI products: as model capabilities enter real work, the product’s responsibilities expand.
Guests / narrator：莫傑麟
Asked whether AI has a bubble, the opening answer is yes. The ensuing conversation repeatedly distinguishes technical value, expectations inside prices, infrastructure payback, who ultimately receives money and whether founders survive until another financing round.
Guests / narrator：于北川
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.
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.