KNOWLEDGE NOTESKnowledge Notes
Explore curated knowledge, course notes and methods, with their existing content and sources preserved.
This index lists complete English editions. Additional Chinese notes and bilingual updates remain available in the Chinese index.
350knowledge notesListen: 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.
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.
This is a bookmark collection of going-global + AI product tool links exported by Will from Product Hunt / Notion. It is neither a design methodology nor a tutorial — each entry only contains "product name + official website URL + bilingual category title". It covers 26 major industry categories (AI Agents / LLMs / Voice AI / E-commerce / Finance / Design & Creativity / Engineering & Development / Productivity / Company Operations / Product R&D / Marketing & Sales / Social & Community / Consumer / Health & Fitness / Healthcare / Travel / Education / Real Estate / Industry / Government / Home / Physical Products / Plugins / Platforms / Web3, etc.) plus one Mobbin App/Web design reference list, with around 256 subcategories and approximately 2,600+ tool links. Its purpose is "when I need to find a certain type of tool (payment/translation/AI avatar/no-code website building/CRM…), quickly recall which benchmarkable references Will has bookmarked". Design knowledge such as i18n / global design patterns / ethics is not included here; see nngroup-patterns-ethics-global-emerging.
A benchmark is a set of test tasks and corresponding standards. Evaluation is the process of using standards to analyze and judge performance. Dingding begins with this distinction: public tasks reflect some capabilities without necessarily covering a product’s actual inputs and processes.
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 definit
Drawing on public views from multiple product and design practitioners, this article sorts out overlapping responsibilities, prototype validation, and quality accountability in AI teams; it retains disagreements across different team sizes and career tracks.
After reaching the United States, Qu noticed rapid changes in how people discussed Chinese and American assets. He asks why two years of pessimism could reverse suddenly and how long new optimism might last.
The first half is a talk on low and high frequencies in investing; the second discusses AI, people and vitality. Zhang uses frequency for changing information, relationships and competition, and low-frequency signals for enduring problems and relatively stable values.
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.
Read the historical interviews with Cat Wu, Alexander Embiricos, and Jenny Wen by role; verify the dates of the three episodes, distinguish guest experiences from editorial summaries and team practices, and provide links to the original episodes and acceptance entry points.
Monica’s answer has three layers: appear where people work, connect consecutive steps, and use revenue and organizational capability to sustain improvement. A browser extension provides entry into the work itself. Buying an extension is a business tool for accelerating validation.
Integrated needs analysis from 3 perspectives. yitang Truman (4-character formula for needs analysis: Decompose-Deduce-Evaluate-Calculate + 6 proficiency levels + JTBD one-pager L1-L4 + AI collaboration version) / yitang Product Core (4 keywords: User/Willing to Choose/Minimum/Solution + 3 principles + L3-L6 proficiency levels + Product Core Canvas) / Wang Huiwen Tsinghua Product Course (4 key traits of needs + supply-demand relationship + 4P + STP) / wiki-ai-pm-interview (user needs + data closed loop). Covers JTBD framework, micro-sense cultivation, and Top-Down/Bottom-Up ceiling calculation.
Huang Yihe's AI tool stack usage and recommendation evolution from 2024-03 to 2026-05. Local model layer (Ollama/LM Studio/MLX) / Frontend layer (AnythingLLM/Open WebUI/LobeChat/ChatWise/Cherry Studio) / Knowledge base layer (MaxKB/RAGFlow/Obsidian Copilot) / Mobile (Enchanted/Apollo) / Configuration and performance (Mac mini M4 / 3060 / DeepSeek-R1 performance comparison) / Lao Huang's daily combo (Gemini + Grok + Raycast + Cursor + NotebookLM)
30+ selected Q&A entries from Huang Yihe (newtype)'s Planet community from January to July 2025. Beginner learning path (Learning by doing: try all three models → ChatWise/Cherry Studio → OpenRouter) / Network conditions (US residential IP / Claude Code subscription vs API) / Multi-platform strategy (Domestic: WeChat Channels 68k + Bilibili & Douyin 40k combined + Xiaohongshu 10k / Overseas: YouTube + X + Medium + Reddit + newtype.pro) / Three reasons for not joining WeChat groups (filtering / education stage / time and energy) / AI Coding tool stack (Cursor + Claude Code complement each other) / Reasons for being bearish on Workflow vs bullish on MCP / Prompt House design philosophy (2-step MCP tool call) / Video production workflow (A Roll + B Roll + Screen Studio + OBS) / Three reasons for not subscribing to ChatGPT / RAG vs Fine-tune decision-making / Note structure Input-Processing-Output / Three things that don't rely on self-discipline (sense of mission + physical stamina + not forcing yourself). This is a "Q&A scenario" supplement to [[newtype-mindset-super-individual]] and [[newtype-knowledge-system]]
Ji combines chip-architecture experience with work on AI compilers at HiSilicon. He explains Nvidia through relationships among hardware, software and developers. This is a practitioner’s strategic interpretation from 2024, not independently verified company history.
Roles reverse in this episode: Mo asks and Qu mainly answers. Qu favors participating early while warning against sprinting just after the start. These positions are compatible. Time, attention and learning can receive serious commitment while money, staffing and scale require staged evidence.
What PostHog is / core concepts / 7 chart types / key metric definition pitfalls (WAU-MAU rolling window, etc.) / one-command MCP integration / billing / ⭐ logged-in state direct investigation SOP (auditing projects built by others). A tool methodology for PMs, decision-oriented
Read Ruan Yifeng's views on AI organized by topic: the debate over open weights vs. open source, model usage costs, career and product judgment, and verification responsibility after AI generates code. Distinguish the author's opinions from verified facts.
Find tools and reading leads from issues 394–413 of Ruan Yifeng's Science and Technology Enthusiast Weekly by task, with chapters and links to the author's original text; distinguish historical inclusion, missing issues, and actual adoption verification. This is not a latest-tools ranking.
A collection of 71+ pieces on leading company moves from Shensi Circle. OpenAI (19 pieces / Sam Altman as Oppenheimer / Sora / OpenAI fund layout / Operator) / Anthropic (10 pieces / 130 billion revenue / moat = permissions / foray into finance / valuation doubled in three months surpassing OpenAI / marketing self-marketing / 80% retention of overseas talent) / Google (Gemini / Privacy Sandbox / AI rewriting the control layer) / Apple (AI iMessage / iOS integration) / Perplexity (6 pieces / 450 million ARR / 5 major growth engines in three and a half years / business strategy) / Microsoft (Entra ID / Security Copilot) / Karpathy (2 pieces). Covers strategic inflection points, business models, and competitive landscape of leading AI companies
