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Cold Start — Zero to First 1000 Users Playbook

作者 Gingiris · GitHub ↗ · v1.0.0 · MIT-0
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在 OpenClaw 中安装
/install cold-start
功能描述
The cold start problem solved: how to go from 0 users to a self-sustaining growth engine. Covers atomic network theory, first-user seeding tactics, community...
使用说明 (SKILL.md)

Cold Start — Zero to First 1000 Users Playbook

Gingiris Growth Series | The cold start problem, solved.

The Cold Start Problem

Every product faces it: without users, there's no value. Without value, there are no users. This is the cold start problem — and solving it is the hardest part of building a product.

Phase 1: Find Your Atomic Network (Users 1-50)

The atomic network is the smallest group of people who create genuine value for each other. You don't need millions of users — you need 20-50 of the right ones.

Identifying Your Atomic Network

Questions to answer:

  1. Who is the "hard side" user? (The one who creates value for everyone else)
  2. What's the minimum viable network where each user benefits even from a small group?
  3. Where do these people already congregate?

Examples:

Product Atomic Network Where Found
Figma Design teams at startups SF design meetups + Twitter
Slack Engineering teams Hacker News + tech Twitter
Notion Power users + templates Reddit r/productivity
Discord Gaming communities Gaming subreddits

7 Manual Tactics That Actually Work

1. Concierge Onboarding

Do manually what the product eventually automates. Zapier founders personally set up Zaps for early users. Airbnb founders photographed apartments themselves.

How to do it:

  • Find 10 target users on LinkedIn/Twitter
  • Offer to personally onboard them via Zoom
  • Do the work for them first → they become advocates

2. The Reddit Thread Seeding Method

  1. Find 3-5 subreddits where your target users are active
  2. Spend 2 weeks contributing genuine value (no promotion)
  3. Post "I built X to solve [problem you've seen in this community]" — authentically
  4. Respond to every comment within 24 hours

Real result: Buffer got its first 100 users from a single Reddit post. Notion got thousands from r/productivity.

3. Cold DM Script (Twitter/LinkedIn)

Hi [Name],

I noticed you [specific observation about their work/content].

I built [Product] specifically for people like you because [relevant reason].

Would you be open to trying it free for a month? No strings — I just want 
feedback from someone who actually [does what your product helps with].

[Your name]

Response rate benchmark: 10-20% with personalization vs. 1-2% without.

4. Waitlist Leverage

Build a waitlist, then:

  1. Invite in cohorts of 20-30 (scarcity + community cohesion)
  2. Create a private Slack/Discord for early access users
  3. Give early users "founding member" status + permanent discount
  4. Ask for referrals as part of onboarding

5. The Design Partner Program (B2B)

Recruit 3-5 companies as design partners:

  • They get free access + your attention
  • You get: feedback, testimonials, reference customers, and pilot revenue
  • Typical agreement: 3-6 months free, then 50% discount for 1 year

How to find them: Your target customer's Slack communities, LinkedIn "people also viewed," conference attendee lists.

The Marketplace Cold Start (Chicken-and-Egg)

The Hard Side Problem

In marketplaces, one side is "harder" to acquire — usually supply (sellers, drivers, hosts, creators). Always seed supply first.

Airbnb's Craigslist Hack:

  • Built a tool to cross-post to Craigslist (high supply, no demand)
  • Redirected Craigslist demand to Airbnb listings
  • Supply acquisition cost: near zero

Uber's Driver Signing Bonus:

  • Paid drivers guaranteed hourly rates regardless of rides
  • Subsidized supply until demand caught up
  • Cost: $6M in subsidies → $60B company

Framework: Seed, Imbalance, Accelerate

  1. Seed: Manually recruit hard-side users (even if unprofitable)
  2. Imbalance: Launch with 2x supply vs demand (users never wait)
  3. Accelerate: First positive transactions generate organic word-of-mouth

Tipping Point Metrics

You've crossed the cold start threshold when:

  • Organic signups > manual signups (growth is self-sustaining)
  • Word of mouth coefficient > 0.3 (30%+ of new users from referrals)
  • Day-7 retention > 30% (users find enough value to return)
  • Users are finding feature gaps (they're trying to do more than you've built)

Part of the Gingiris Growth Series

安全使用建议
Treat this as an incomplete review: installation should wait for a successful artifact inspection of metadata.json and the artifact directory.
能力评估
Purpose & Capability
Artifact contents were not readable in this run, so purpose-to-capability coherence could not be confirmed.
Instruction Scope
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Install Mechanism
No install specification evidence was available for review.
Credentials
Environment access and proportionality could not be assessed from artifacts because file inspection failed.
Persistence & Privilege
No artifact-backed evidence of persistence or privilege behavior was available.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install cold-start
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /cold-start 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: atomic network theory, 7 manual seeding tactics, marketplace cold start, tipping point metrics
元数据
Slug cold-start
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Cold Start — Zero to First 1000 Users Playbook 是什么?

The cold start problem solved: how to go from 0 users to a self-sustaining growth engine. Covers atomic network theory, first-user seeding tactics, community... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 86 次。

如何安装 Cold Start — Zero to First 1000 Users Playbook?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install cold-start」即可一键安装,无需额外配置。

Cold Start — Zero to First 1000 Users Playbook 是免费的吗?

是的,Cold Start — Zero to First 1000 Users Playbook 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Cold Start — Zero to First 1000 Users Playbook 支持哪些平台?

Cold Start — Zero to First 1000 Users Playbook 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Cold Start — Zero to First 1000 Users Playbook?

由 Gingiris(@gingiris)开发并维护,当前版本 v1.0.0。

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