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Unit Model / Economies of Scale / Business Model (Cross-Author Thematic Synthesis)

Integration of unit models and economies of scale from 3 perspectives. yitang Truman (6 levels of unit models + 15 classic ways to mess up + top 10 unit models + L6 economies of scale, the most complex diagram from a Yitang class in 2021 + Excel template) / Wang Huiwen Tsinghua Product Class (scale effect = gravity of the business world + three ABC shapes + network effect + high-frequency beating low-frequency + STP+4P+PMF) / Wang Kai ("good assets" hundred-billion-yuan monopoly / multi-technology cost accounting / do not challenge giants on their main battlefield). Covers selection of the top 10 unit models, SKU model vs order model vs store model, and the 50,000-car iteration case of a car-sharing unicorn

Source collection:Cross-source synthesis · Published here:2026-09-26 · Note updated:2026-09-26

Business modelsUnit economicsEconomies of scale

When to open: When you need to break down a business model / calculate profit per SKU / select the minimum unit / want to understand that "scale effect is the gravity of the business world" / want to replicate 50 stores but fear the unit does not hold up. This wiki integrates the three perspectives of yitang Truman, Wang Huiwen, and Wang Kai.

One-sentence core:Truman: "The unit model is the most important ROI model within a company";Wang Huiwen: "Scale effect is basically the gravity of the business world";Wang Kai: "Do not challenge giants on their main battlefield; find niche points that hardware + systems + platforms + big companies are all unwilling to touch" —— The three schools point to the same essence from different dimensions:Scaling big or staying small depends on whether the unit model holds up + whether scale effect can amplify it.

0. The three schools' "unit model / economies of scale"

Perspective Source Core
yitang Truman system school Yitang / Product kernel + complete unit model system (steps 2+3 of the five-step method) 6 levels of unit models + 15 classic ways to mess up + top 10 unit models
Wang Huiwen Tsinghua Product Class school Yitang / Complete 66-page notes of Wang Huiwen's Tsinghua Product Class ABC scale effects + network effect + high-frequency beating low-frequency + STP+4P
Wang Kai practical school Wang Kai's AI-era entrepreneurship methodology and business judgment framework / Wang Kai's AI industry judgment and big-company competitive landscape observations Hundred-billion-yuan monopoly + multi-technology cost accounting + four big mountains

1. Cross-author consensus (5 points)

1.1 Unit model = the minimum operating unit in a business model

Yitang / Product kernel + complete unit model system (steps 2+3 of the five-step method) Part B:

Definition:A certain minimum operating unit in a business model that reflects the cost-revenue relationship.

Examples Unit
Cosmetics Per-SKU model
Food delivery Per-order model
Nail salon Per-service model
Gashapon machine Per-device model
Business district Per-business-district model
Advertising Per-customer-acquisition model

Truman quote:"The unit model is the most important ROI model within a company".

1.2 Scale effect = gravity of the business world

Yitang / Complete 66-page notes of Wang Huiwen's Tsinghua Product Class Part 2 Wang Huiwen:

"Scale effect is basically the gravity of the business world. After sales/user volume/customer volume becomes large enough (compared to smaller competitors), it produces (i)user experience advantages and (ii)cost advantages, depending specifically on the business model."

2 levels:

  1. Different businesses inherently have different scale effects —— Some businesses are naturally unable to grow large
  2. Competition within the same business —— Whoever first captures the elements of scale effect wins

1.3 If the unit model does not hold up = losing money

Yitang / Product kernel + complete unit model system (steps 2+3 of the five-step method) §B:Research data - over 50% of money-losing cases are due to incomplete unit models.

3 typical situations(all lead to losing money):

Situation Manifestation
Too many blind spots Used to looking at aggregate financial statements, lacking details per SKU / per salesperson / per fulfillment / per business district
Hindsight Charging ahead aggressively, only discovering the unit fundamentally does not hold up after heavy losses
Static optimism Rapid expansion after good data from 1-2 stores; opening in 15 cities after breaking even in 1 tested school

Wang Kai corroboration(Wang Kai's AI-era entrepreneurship methodology and business judgment framework §3.3):Single-technology cost accounting —— Full-stack engineer monthly salary 30,000 yuan → a product that can support 1 engineer = monthly revenue of 30,000 yuan / minimum monthly cost for a small team is 80,000 yuan = requires 13,334 monthly paying users.

1.4 "Replicate whichever you count, keep a close eye on whichever is most uncertain" (Truman exclusive)

Yitang / Product kernel + complete unit model system (steps 2+3 of the five-step method) §B Truman core mindset:

"Replicate whichever you count, keep a close eye on whichever is most uncertain!"

3 examples (L3):

  • Lighting business — find the core SKU unit
  • Southeast Asia container unicorn miss —— Per container → per SKU → per region → per city, replicating too early and stepping into pitfalls
  • Car-sharing rental —— 50,000 cars / 36 million users / 4 billion yuan in revenue,per order → per store → per SKU → per city → self-service transformation → per user → per outlet → per business district → per fulfillment 9-stage iteration

1.5 Do not challenge giants on their main battlefield (Wang Kai consensus)

Wang Kai's AI-era entrepreneurship methodology and business judgment framework §5 Four big mountains:

  • Hardware layer (Apple / OPPO / Tesla)
  • System layer (iOS / Android / Windows)
  • Platform / ecosystem layer (Chrome / WeChat / Slack / Notion)
  • Large model layer (OpenAI / Anthropic / Google)
  • Big-company application layer (Salesforce / Adobe / Meitu)

Practical advice:Find niche points with special demand that "hardware + systems + platforms + big companies" are all unwilling to touch.


2. Explicit disagreements (2 points)

2.1 Disagreement 1: Which unit to choose for replication granularity?

Truman's top 10 unit models + Wang Huiwen's scale effect classification:

By sales type By headcount type By space type
Per order Per user Per cabinet
Per SKU Per customer Per store
Per salesperson Per business district
Per fulfillment Per city

Truman's 3 types of misconceptions:

  1. Only calculating big-picture accounts(aggregate financial statements lack details)
  2. Blind spots exist(missing key units)
  3. Choosing the wrong model(granularity too large or too small)

Real disagreement(which granularity to choose):

  • Lighting wholesale → per order → per customer → per SKU (three-stage iteration)
  • Southeast Asia containers → per cabinet → per SKU → per region → per city (replicating too early and stepping into pitfalls)
  • Car-sharing → 9 stages from per order to per fulfillment

2.2 Disagreement 2: Stay small and profitable vs scale big for IPO?

Perspective Position
Wang Huiwen "At the beginning we only wanted to build a 1-billion-USD market cap, 60-person company, we didn't expect it to grow big later"
Truman's 7-level spectrum L1 side hustle → L7 IPO, choose a range not a point / secure A while striving for B
Wang Kai "Doing business is more important than raising capital" / only place big bets for hundred-billion-yuan monopolies / running a small business with annual profit of several million yuan lets you travel and play Texas Hold'em

Real disagreement:Is there a premium for scaling big?

  • Wang Kai opposes "scaling big counts as success": small and medium businesses have good cash flow
  • Truman looks at ranges: L3 standalone hundreds of thousands of yuan vs L7 IPO billion-level
  • Wang Huiwen in hindsight: scaling big is an outcome, not a goal

3. Detailed explanation of Truman's 6 levels of unit models (exclusive complete version)

Yitang / Product kernel + complete unit model system (steps 2+3 of the five-step method) §B:

Level Course Capability
L1 Cognition module Know the concept
L2 Cognition module Distinguish 15 classic ways to mess up
L3 Select core model Practice 1 Find the core unit + replication granularity
L4 Build complete model Practice 2 Find all key items, no omissions
L5 Pin down baseline values Practice 3 Plug in specific data
L6 Dynamic prediction model Practice 4 Dynamic tug-of-war between economies of scale / diseconomies of scale

3.1 L6 Economies of scale (2021 Yitang's most complex diagram)

Truman's assessment:"As the conclusion of the 'Unit Model' course series, this lesson is the brightest pearl on the crown of Yitang's five-step business analysis, worth 100,000 yuan".

12 types of economies of scale (see course for details):

  • Network effect
  • Platform effect
  • Learning curve
  • Synergy effect
  • Economies of scope
  • Data flywheel
  • ...

3.2 Classic case of L3 selecting core model

Complete 9 stages of car-sharing rental(from 0 to unicorn, 50,000 cars / 36 million users / 4 billion yuan in revenue):

单订单 → 单门店 → 单 SKU → 单城市
       ↓
   自助转型(模式升级)
       ↓
单用户 → 单网点 → 单商圈 → 单履约

Why 9 stages: the most critical minimum unit differs at each stage → "Replicate whichever you count, keep a close eye on whichever is most uncertain".

3.3 Student Chen's three-stage iteration in the lighting business

阶段 1: 单订单(早期不知道卖什么)
   ↓
阶段 2: 单客户(批发业务,大客户驱动)
   ↓
阶段 3: 单 SKU(找到核心爆款,组合定价)

4. Detailed explanation of Wang Huiwen's scale effects (exclusive)

Yitang / Complete 66-page notes of Wang Huiwen's Tsinghua Product Class Part 2:

4.1 Three shapes of scale effect curves

Type Shape Example
Type A Monotonically increasing, no ceiling Platform / network effect
Type B Monotonically increasing, with ceiling General SaaS / tools
Type C Increases first then decreases Traditional services / labor-intensive

4.2 High-frequency beating low-frequency (classic mindset)

When to use: When pursuing platform strategy / cross-category expansion, first build user base with high-frequency categories, then use high-frequency to drive low-frequency.

Meituan path:Group buying (high-frequency) → food delivery (higher frequency) → hotel & travel (low-frequency but high ticket size) → mobility (medium-frequency).

4.3 STP + 4P + PMF (classic framework)

  • STP:Segmentation → Targeting → Positioning
  • 4P:Product / Price / Place / Promotion
  • PMF:Product-Market Fit

4.4 Four major traits of demand + supply-demand relationship

Yitang / Complete 66-page notes of Wang Huiwen's Tsinghua Product Class Part 2 high-level distillation:

  1. Demand intensity(is it rigid)
  2. Demand frequency(is it high)
  3. Demand scale(is it large)
  4. Demand willingness to pay(are users willing to pay)

4.5 Entry timing + Porter's five forces

  • Entry timing: Early stage high user education cost / mid-stage red ocean / late stage no opportunity
  • Porter's 5 forces: substitutes / new entrants / buyer bargaining power / supplier bargaining power / intra-industry rivalry

5. Wang Kai practice (exclusive)

Wang Kai's AI-era entrepreneurship methodology and business judgment framework + Wang Kai's AI industry judgment and big-company competitive landscape observations:

5.1 Three things for accounting

  1. Traffic acquisition cost
  2. Monetization efficiency
  3. Long-term operation and maintenance cost

5.2 ARPU vs instant payment model

Model Applicable to Focus
ARPU(calculate total value over an extended period) Long-retention products; even 500 yuan in total value over 3 years is worth doing Retention / renewal
Instant payment high-intent demand (writing papers / AI PPT) Traffic arbitrage opportunity / single-transaction payback

5.3 "Three-step approach" for AI application layer

Step 1: 用 AI 红利切入(低门槛 + 快验证)
  ↓
Step 2: 获取流量 / 规模优势(趁红利期攒护城河)
  ↓
Step 3: 延伸业务壁垒(让 AI 占比降到 30% 以下,构建非 AI 护城河)

5.4 Evolution of "commercial monopoly" in the AI era

Internet era AI era
Platform monopoly (Taobao/WeChat/Douyin) AI Agent platform monopoly(ChatGPT/Claude)
Page Rank determines information distribution Agent Rank determines Agent invocation frequency
SaaS intermediary-type monopoly (Salesforce) End of intermediary-type monopoly, AI directly connects supply and demand
Content sites rely on search traffic Content site weight transfers to AI training data

6. How to choose — unit model paths by identity

Who you are Primary method Starting point
Launching a business Truman L3 select core model Top 10 unit models + replicate whichever you count
Finding reasons for business losses Truman L4 + 15 classic ways to mess up Find all key items + see which item is missing
Whether to replicate and expand Truman L5 pin down baseline values A single store making money ≠ 50 stores making money / testing 1 school ≠ 15 cities
Want to pursue platform strategy Wang Huiwen scale effect + high-frequency beating low-frequency A/B/C three shapes + Meituan path
Small-team AI entrepreneurship Wang Kai three accounting things + four big mountains Do not challenge giants on their main battlefield + three-step approach for AI application layer
Want to scale big Truman 7-level spectrum + Wang Huiwen scale effect Secure A while striving for B + scale effect is the gravity of business

Universal disciplines:

  1. If the unit model does not hold up = losing money(50% of money-losing cases are due to this)
  2. Replicate whichever you count, keep a close eye on whichever is most uncertain(Truman)
  3. Do not challenge giants on their main battlefield(Wang Kai)
  4. Scale effect is the gravity of business(Wang Huiwen)
  5. High-frequency beating low-frequency(Meituan gene)
  6. Account before acting(Wang Kai's three things)

7. Reference list

Main original author wiki:

Related topic wikis (this series):

Related skills:

  • yitang-select-unit-model —— L3 Selecting the Core Model
  • yitang-build-complete-unit-model —— L4 Building a Complete Version
  • yitang-find-unit-baseline —— L5 Finding Benchmark Values
  • yitang-predict-unit-dynamics —— L6 Dynamic Forecasting
  • yitang-master-business-model —— L1-L2 Unit Economics Level 1 Cognition
  • yitang-master-business-growth —— Business Growth
  • yitang-master-business-moat —— Project Moats

History

  • 2026-05-18: First release of the Topic-dimension wiki. Synthesized and rewritten from 5 author wikis. Explicitly notes 2 points of disagreement: replication granularity / making small profits vs scaling up for an IPO

2026-09 Supplement: What the free subdomain case can prove, and what it cannot prove

The case comes from DigitalPlat FreeDomain analysis notes saved on 2026-05-31. This section is used to practice breaking down unit models, and does not constitute verification of the service's current scale, operating status, or sustainability.

1. First identify what exactly is being delivered

The model described in the notes is: the operator holds the domain name and allocates subdomains under it to users for free. The usable address a user receives is not the same level of control as independently holding a registered domain name. For low-threshold needs such as practice projects and demo sites, this may be attractive; for businesses with high requirements for long-term address stability, the control rights and conditions for continued operation need to be examined separately.

"Holding the resource first, then splitting usage rights" can amortize part of the shared costs, but it cannot be deduced that "total costs are incurred only once" or that "adding more users costs almost nothing". The original notes do not provide a complete cost table, so this should be treated as a model to be verified, not an already established profitable case.

2. Free strategies require breaking down at least four sets of accounts

Accounts to calculate Questions this case can prompt Evidentiary boundaries of the current materials
Shared resource costs Which costs can be spread across more users? Explains the subdomain allocation idea, but does not provide complete cost details
Incremental service costs How much additional service and maintenance burden does one more user add? No actual measurement has been done; it cannot be written as zero
Assets obtained What does free bring in exchange: users, spread, or business opportunities? The notes mention claims about user counts and star counts, but provide no evidence of revenue or conversion
Continued use and exit Why do users stay; what is lost if the service is terminated? Control rights and dependency risks are worth checking; one cannot assert solely on the basis of it being free that users will definitely not stay

Model check formula:Average cost per user = Allocable shared costs ÷ Number of active users + Total variable costs ÷ Number of active users. A larger denominator only reduces the first term; omitting the second term is a blind spot in the unit model. In actual calculations, the two terms must use the same period and a consistent user definition.

3. When it is worth learning from

When you already have reusable resources and there is real demand blocked by a paywall, you can try using a free version to validate demand and spread. But you must set separate validation questions: whether anyone uses it continuously, how many resources are needed for each additional active user, and whether free users can form a clear revenue path.

Figures in the original notes such as "500,000+ users, 170,000+ GitHub stars, zero revenue" are retained in the original file only as unverified claims from the notes at the time; this section does not upgrade them to current operating facts. Scale, popularity, and profit are three separate questions, and evidence should be sought for each separately.

Sources and related materials