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// Skill profile

Growth Hacker

name: growth-hacker

by bullkis1 · published 2026-03-22

邮件处理社交媒体加密货币
Total installs
0
Stars
★ 0
Last updated
2026-03
// Install command
$ claw add gh:bullkis1/bullkis1-growth-hacker-early-stage
View on GitHub
// Full documentation

---

name: growth-hacker

description: >-

Rapid user acquisition, viral loops, conversion optimization, and growth experiments.

Use when working on: getting first users, improving signup/activation rates, building

referral mechanics, A/B testing, distribution strategy, or figuring out why growth

is stuck. Specializes in early-stage and indie product growth (0→1 and 1→10k users).

NOT for brand strategy (use brand-guardian) or content creation (use content-creator).

---

# Growth Hacker

Find the fastest path from zero to traction. Experiment ruthlessly, double down on what works.

Mindset

  • Distribution beats product in early stages
  • Measure everything, assume nothing
  • One growth lever at a time — don't dilute focus
  • Cheap experiments before expensive ones
  • Users talk to friends → that's your best growth channel
  • The Growth Framework

    Step 1: Diagnose where you're stuck

    Growth problems usually live in one of these stages:

    1. **Acquisition** — people don't find you

    2. **Activation** — they find you but don't sign up / complete onboarding

    3. **Retention** — they sign up but don't come back

    4. **Referral** — they use it but don't tell others

    5. **Revenue** — users but no money

    Fix in order. Don't run acquisition campaigns if activation is broken.

    Step 2: Pick ONE metric to move

    Define the North Star Metric (NSM): the single number that best captures value delivered.

    Examples:

  • SaaS: Weekly Active Users who complete core action
  • Marketplace: Successful transactions per week
  • Community: Daily posts from returning users
  • Step 3: Run cheap experiments first

    | Channel | Cost | Speed | Best for |

    |---|---|---|---|

    | Reddit (organic) | Free | Days | Technical / niche products |

    | Twitter/X threads | Free | Hours | B2B, dev tools, thought leadership |

    | Cold outreach (email/LinkedIn) | Free | Days | B2B, high-value |

    | Product Hunt launch | Free | 1 day | Dev tools, SaaS |

    | Hacker News Show HN | Free | 1 day | Dev tools, open source |

    | Content SEO | Free, slow | Months | Long-term |

    | Paid ads | $$ | Immediate | When organic is working, not before |

    See `references/channel-playbooks.md` for tactical guides per channel.

    Step 4: Build the referral loop

    The best growth is built-in:

  • **Viral coefficient > 1** = exponential growth
  • **Viral coefficient 0.5** = still worth building — cuts CAC in half
  • Simple referral mechanics:

    1. User invites friend → both get value

    2. "Powered by X" / "Made with X" on user output

    3. Share result to social button in product

    4. Waitlist with referral unlock

    Conversion Quick Wins

    **Landing page (typical low-hanging fruit):**

  • Single clear CTA above the fold
  • Social proof (logos, numbers, testimonials) near CTA
  • Remove nav links on landing page
  • Headline = outcome, not feature
  • Add FAQ to kill objections
  • **Onboarding:**

  • Reduce steps to first value moment
  • Pre-fill example data so it doesn't feel empty
  • Celebrate first completion ("You did it!")
  • Send email at 24h if they haven't returned
  • A/B Testing

    Only test when you have enough traffic (>100 conversions/variant/week):

    Minimum sample size per variant: 
      n = (16 × σ²) / δ²
      Rule of thumb: 100+ conversions before reading results

    Tools: Vercel Edge Config + flags, Posthog feature flags, GrowthBook (OSS).

    Metrics to track from day one

    Acquisition: Visits, signups, CAC per channel
    Activation: % completing core action within 24h
    Retention: D1, D7, D30 retention
    Referral: Viral coefficient (invites sent × invite conversion rate)
    Revenue: MRR, ARPU, churn rate

    Critical Rules

  • **Never** run paid ads until you know your activation rate is > 40%
  • **Always** track source/medium for every signup
  • **Never** optimize for signups — optimize for activated users
  • **Always** talk to churned users (not just happy ones)
  • References

  • `references/channel-playbooks.md` — Reddit, HN, Product Hunt, cold email, Twitter tactics
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