101 · 15 canons
Viral marketing
The mechanics of compounding distribution, the product loops that make sharing useful, and the social triggers that make an idea worth carrying.
TL;DR Virality is a system, not a launch stunt. Model the loop, shorten its cycle time, protect the receiver's value and distinguish sharing mechanics from the network effects that make a product more useful.
Reading path 1
Model the loop
These are the mechanics: who sends what to whom, why the next person responds, and how quickly the cycle repeats.
- 01
What's your viral loop? ↗
- TL;DR
- A viral loop is the repeatable path from one user's action to another user's adoption; the loop itself matters more than a one-time referral promotion.
- What you'll read
- The sender, channel, receiver and conversion steps behind durable product virality, with examples of loops embedded in use.
- 02
What's your mobile loop? ↗
- TL;DR
- Mobile products need a repeatable trigger that brings a person back and creates another useful action; installs without a return loop do not compound.
- What you'll read
- A practical loop model for notification, content, habit and social mechanics on mobile.
- 03
Growth loops are the new funnels ↗
- TL;DR
- Funnels spend an input; loops reinvest an output into the next cycle. Growth strategy improves when the compounding system is modeled directly.
- What you'll read
- The difference between funnels and loops, major loop types, reinforcing systems and why teams misallocate work when they only track stages.
- 04
Viral effects are not network effects ↗
- TL;DR
- Virality lowers acquisition cost; network effects improve the product as the network grows. A product can have either, both or neither.
- What you'll read
- A sharp distinction between acquisition mechanics and defensibility, with examples that prevent inflated network-effect claims.
- 05
The universal growth loop ↗
- TL;DR
- Every growth system can be expressed as an input, action, output and reinvestment step, making missing compounding links easier to see.
- What you'll read
- A compact diagnostic for mapping loops before the team debates channels, dashboards or campaign ideas.
Reading path 2
Study loops that earned distribution
The best case studies show why the receiver wanted the invitation or output—not merely that a growth team added sharing.
- 06
The network effects bible ↗
- TL;DR
- Network effects come in distinct forms with different cold-start, scale and defensibility dynamics; naming the type changes the growth plan.
- What you'll read
- A taxonomy of direct, marketplace, data, platform and social effects plus the operating questions each one creates.
- 07
The network effects map: Uber ↗
- TL;DR
- Uber compounded through a local marketplace loop where supply and demand improved liquidity, but the effect had geographic limits and operational costs.
- What you'll read
- A worked case study of marketplace density, local effects, cross-side value and the difference between growth and durable advantage.
- 08
A breakdown of LinkedIn's AI-assisted growth loop ↗
- TL;DR
- AI can reduce the effort required to create the content that feeds a distribution loop, but the network and feedback still provide the compounding engine.
- What you'll read
- A current teardown of creation assistance, feed distribution, engagement feedback and how one output seeds the next cycle.
- 09
How Superhuman built an engine to find product-market fit ↗
- TL;DR
- Retention and enthusiastic user fit come before referral scale; Superhuman turned a qualitative PMF question into a repeatable product process.
- What you'll read
- The very-disappointed survey, segmentation, roadmap method and the reason viral growth without a retained core is a leak.
- 10
The network effects of YouTube's hypergrowth ↗
- TL;DR
- YouTube's embed-driven distribution helped content travel while every view strengthened the central platform's creator and audience network.
- What you'll read
- How portable content, hosting economics, creator incentives and a two-sided network reinforced one another.
Reading path 3
Make the idea worth carrying
Some things spread because the product creates an invitation. Others spread because the story gives people social value, emotion or a useful identity.
- 11
The science of social transmission ↗
- TL;DR
- People share ideas that provide social currency, triggers, emotion, public visibility, practical value and memorable stories.
- What you'll read
- The STEPPS framework and examples that move viral marketing beyond incentives and coefficient math.
- 12
Startup = Growth ↗
- TL;DR
- A startup is defined by the intention and ability to grow quickly, which forces a search for a market and distribution mechanism large enough to compound.
- What you'll read
- Why growth rate changes decision-making, fundraising and product scope—and why not every new business is a startup.
- 13
Do things that don't scale ↗
- TL;DR
- Early growth often begins with manual recruiting, delight and close observation; the founder learns the loop before automating it.
- What you'll read
- Founder-led acquisition, over-service, narrow markets and the deliberately manual work behind later scalable distribution.
- 14
Aggregation Theory ↗
- TL;DR
- Digital aggregators gain power by owning demand, reducing distribution costs and making suppliers modular; growth follows control of the user relationship.
- What you'll read
- The supply-distribution-consumer value chain and why zero marginal distribution reshapes media, marketplaces and platforms.
- 15
The psychology of startup growth ↗
- TL;DR
- Growth mechanisms work through status, identity, scarcity, reciprocity and habit; copying the surface tactic without the human motive weakens the loop.
- What you'll read
- Behavioral principles behind invitations, communities, marketplaces and product sharing, with examples founders can pressure-test.








