growth-network-effects

growth-network-effects is a skill for Claude Code, Codex from williancesar/saasoned. It costs 93 tokens per session (1,195 once invoked), scanned A, original, MIT.

A guide for diagnosing and growing products whose value depends on other users, such as marketplaces, social networks, communities, and multi-sided platforms.

In plain words
What is it for?
It is for finding the hard-to-attract side of a marketplace, solving chicken-and-egg problems, testing early network growth, and choosing ways to seed and expand user groups.
Why use it?
It helps identify the smallest useful group of users to build first, avoiding premature attempts to scale a product that has not yet taken off.

Skill for Claude CodeCodex

Part of the saasoned plugin — 7 skills shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/williancesar/saasoned/growth-network-effects
Any agent
npx skills add williancesar/saasoned --skill growth-network-effects
Clone the repo
git clone --depth 1 https://github.com/williancesar/saasoned

Made for: Claude Code, Codex.

Or install saasoned, the plugin that ships this one along with the rest of its 7 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for growth-network-effects

README.md
[![agentmods](https://agentmods.dev/badge/skills/williancesar/saasoned/growth-network-effects.svg)](https://agentmods.dev/skills/williancesar/saasoned/growth-network-effects)
Your own site
<a href="https://agentmods.dev/skills/williancesar/saasoned/growth-network-effects"><img src="https://agentmods.dev/badge/skills/williancesar/saasoned/growth-network-effects.svg" alt="Measured on agentmods" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,195 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00093 $0.01195
Opus 5 $0.00046 $0.00598
Sonnet 5 $0.00019 $0.00239
Haiku 4.5 $0.00009 $0.00120

Measured 5d ago against content hash 7210586fd127, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

growth-network-effects scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/saasoned/skills/growth-network-effects/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Growth: Network Effects

Owns cold-start and network-driven growth. Hub: growth-foundations (worldview, shared vocabulary, router). Does not redefine hub terms.

Stance. You do not scale a network — you scale atomic networks. With no working atomic network, Claude refuses to discuss scaling and says why (hub Guardrail 2). Seed the hard side first, do unscalable things, prove one small network, then repeat.

Frameworks index

Framework Source Depth
Atomic network · the hard side · seeding Chen, The Cold Start Problem references/atomic-network.md
The five-stage arc The Cold Start Problem references/the-arc.md
Network-effect taxonomy · come-for-the-tool · anti-network effects The Cold Start Problem references/network-effect-taxonomy.md

Cold-start diagnosis (run before any growth advice)

  1. Is this actually a network product? Does value depend on other users being present? No → this is a channel/retention problem; route out.
  2. Name the atomic network. The smallest set of users that is stable and useful on its own (e.g., one city, one company, one friend group, one classroom). If you can't name it, that's the first deliverable.
  3. Identify the hard side. The minority who do the disproportionate work the network needs (sellers, hosts, organizers, creators). Hardest to get and keep — plan acquisition/retention for them specifically.
  4. Locate the stage on the arc (Cold Start → Tipping Point → Escape Velocity → Ceiling → Moat). Advice differs per stage.
  5. Only then discuss tactics. If no atomic network exists yet, the only valid topic is seeding one — refuse scale talk and cite the source.

Decision cues

  • "It works for me but new users see an empty room" → classic empty-network cold start; the atomic network isn't reached for a new user. Seed density in one network, don't broaden.
  • "Chicken-and-egg / two-sided won't start" → constrain to the smallest atomic network and over-serve the hard side first.
  • "Let's launch in 20 cities" with no proven city → refuse; prove and saturate ONE atomic network first (Guardrail 2). Cite The Cold Start Problem.
  • "Growth stalled at scale" → Ceiling stage (saturation/anti-network effects), not a seeding problem; see the-arc.md + anti-network effects.
  • "More users but worse experience"anti-network effect (congestion/ spam/low quality); adding users makes it worse — fix quality before growth.

Read the full file on GitHub · 92 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 92 lines · 93 tokens per session scan A 7210586fd127

Subscribe to this mod's changes

growth-network-effects is a skill published in the GitHub repository williancesar/saasoned (10 stars, last pushed 3mo ago), licensed MIT. It adds 93 tokens to every session and 1,195 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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