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 notesYitang's mandatory course for all staff: First Lesson on In-Depth Review, delivered by Truman. "An organization capable of producing high-quality reviews can basically do everything well" (Wang Xing). It covers 5 parts (building negative aesthetic / understanding value / advanced improvement / high-level application / re-understanding) + the 5-step review method (sort out the process → review goals → evaluate results → analyze causes → summarize lessons) + 5 major principles (seeking truth from facts / open mind / self-reflection / candid expression / drawing on collective wisdom) + 4 levels of review (entry-level post-event chat / beginner-level process sorting / intermediate-level structured analysis / advanced-level growth-oriented reflection) + cases including Mao Zedong as an educator / Su Yu / Liu Chuanzhi / AAR, etc. Comes with candy: Yu Lu's 5-year in-depth review case from Someet + a full-web research report on review tools
Yitang's mandatory course for all members: *Life Redpoint Cognition Module*, lectured by Truman. A curated case collection selected from "hundreds of reflections on life's endgame", grouped by the life endgame trade-off quadrant. It covers 9 categories of life redpoints (Wealth-seeking / Fame-seeking / Work-seeking / Achievement-seeking / Process-oriented / Life-oriented / Experience-oriented / Inner-growth / Mastery-seeking) + 100 real life cases from students + a redpoint benchmarking ammo pack + 16 biographies + 14 documentary benchmarking resources. It serves as the extended case library for the supporting Skill: [[yitang-find-life-redpoint]]
Complete notes of 6 lectures plus personal talks from Wang Huiwen (Meituan No.2, co-founder) for the *Internet Product Management* course at Tsinghua University, September–October 2020. An honorary textbook of Yitang, serving as supporting in-depth reading for Endgame Prediction [[yitang-business-prediction-deep]]. Covers 3 entrepreneurship stories (Xiaonei / π-shaped talent / core competitiveness) + 3 categories of internet businesses (pure online / O2O / automation) + 5 types of unsuccessful products (Nokia / MPMan / Kik / Smart ABC / IE) + 5 successful PMs (Neil McElroy / Steve Jobs / Zhang Xiaolong / Pichai) + 5 must-read books (*The PayPal Wars* / *The Tipping Point* / *The Lean Startup* / *The Innovator's Dilemma* / *The Philosophy of Retailing*) + ABC categories of economies of scale + network effects + STP theory + 4P marketing + diffusion of innovations + high-frequency beating low-frequency + incremental vs stock markets + entry timing + Porter's Five Forces + Porter's three generic competitive strategies + Meituan platform strategy + 4 major traits of demand + supply and demand
Zara Zhang Zala's life-side wiki outside her main AI / job-search content: **Reading taste** (English novels / nonfiction / business books) / **Travel + shop exploration** (Tokyo / Kamakura / Vegas museums / Bay Area weekends) / **Full record of the entire pregnancy and childbirth journey** (10 months of pregnancy / postpartum / not breastfeeding / baby registry) / **7 posts on studying at Harvard** (undergraduate at age 21 / The Crimson newspaper / China Forum / alumni magazine) / **Language learning mindsets** (Japanese N1 / English after starting work) / **late bloomer / fitness persistence / Build to learn**. **Core mindsets**: Content is king — turn counter-instinctual things into entertainment / output forces input / cross-domain advantage / language is a window to culture
zara's complete playbook for career development in North America. **Core thesis**: **No job is ever landed by submitting resumes** (all opportunities come from your content/work being seen by the right person) / Cold emails are not for getting interviews, they are for networking + coffee chats / Asking a stranger for a referral ≈ applying through the website (endorsement mechanism) / surface area × probability = luck / The unique value of liberal arts graduates in the AI era / Got into Harvard because she "chose the harder path + had excellent English" / Big company team culture > corporate culture / Late bloomer mindset as an undergraduate starting at age 21. **Counter-consensus views**: No career planning, no resume submissions, no gaming the LinkedIn algorithm, no rote English vocabulary memorization; **Work = public portfolio + Inbound + long game** is the real pathway
Zara’s full career reflections across GGV (VC)/ ByteDance (6 years in product marketing)/ AI indie development, plus her hands-on experience as a volunteer docent at the Computer History Museum. **Core arguments**: Not planning takes you further than planning (every career turn was triggered by her work); PMF is not a marketing problem, it is a product problem; Always-last-day mindset; **Learn in public — output forces input** (proven by memorizing an 8,000-word English script and leading more than a dozen tours). Also includes counterintuitive views on entrepreneurship (why she does not want to start a company) and storytelling lessons from the Vegas/Mob/Neon museums.
Understand low-burden output, positioning, and learning in public through Zara Zhang Zala’s historical cases on Xiaohongshu and across platforms; includes direct chapter links and short exercises, distinguishing follower self-descriptions, tool use, and effect boundaries across different periods.
Understand specific needs, Skills, and editable deliverables through Zara Zhang Zala's historical product portfolio; provide the official entry point and reading path for Frontend Slides, and distinguish old growth data, GitHub projects, and hosted-service capabilities.
Organize follow-builders' Claude Code installation entry point, first-reading checks, and automatic push conditions; distinguish the central feed, model, and delivery channels, and preserve the original share and comments.
A compilation of Zhang Zala's Vibe Coding practices: start from a small personal problem, use AI to build a working product, and learn along the way; covers topic selection, requirement description, feature cutting, and product differentiation.
