Competitor Research & Growth Flywheel Playbook

Reverse-engineer how a competitor grew — Wayback teardown, propagation mapping, 6-stage flywheel scoring.

npx skills add Gingiris-1031/competitor-research-playbook

By Iris Wei (生姜) · ex-COO of AFFiNE (60K+ GitHub stars) · 30× Product Hunt #1

Key takeaways

  • Work the 4 steps in order: website → social media → traffic sources → ad spend.
  • Read 3 website versions via Wayback (V1 / Beta / Launch) to see how positioning evolved.
  • Score the 6-stage flywheel (Activation → Referral → Acquisition → Retention → Revenue → Product) to find the real strength.
  • Content that travels: visual demo > user story > competitor comparison (validated ranking).

What this is

When a competitor blows up, the instinct is to copy their latest move — usually the wrong one. This playbook reverse-engineers the whole flywheel: how their website evolved, how the launch propagated, and which growth stages are actually strong — so you copy the system, not the symptom.

Key results

AI startups analyzed150+
Website versions compared3 (V1/Beta/Launch)
Flywheel stages scored6
Lovable launch-day impressions229K

The 4-step competitor research framework

  1. 1

    1 · Website teardown (3 versions)

    Pull V1, Beta and Launch snapshots from the Wayback Machine and record, per version: one-line positioning, page length/structure, use cases, CTA/pricing, SEO changes, and which community channels launched when.

  2. 2

    2 · Social media teardown

    Use SimilarWeb to find their main traffic source, then deep-dive the right channel: official vs founder vs DevRel vs KOL accounts, posting cadence, and content-type mix.

  3. 3

    3 · Map the propagation chain

    Reconstruct the launch as 4 phases — internal ignition (hours) → ecosystem catalysis (1–2 days) → KOL detonation (2–3 days) → broad penetration (weeks) — and identify the traffic kings, topic starters, and mindset-shifters.

  4. 4

    4 · Score the growth flywheel

    Rate all six stages (Activation, Referral, Acquisition, Retention, Revenue, Product) strong-vs-weak using signals like Discord DAU, systematic user-story propagation, and clear free-to-paid triggers.

Content effectiveness (validated ranking)

When mapping a competitor's launch, weight the content types that actually drove spread.

RankContent typeWhy it travels
🥇Visual demo (video/GIF)Strongest immediate impact
🥈Real user success storyMost credible
🥉Competitor comparisonSparks discussion
4–5Stats / feature announcementsSocial currency / narrow reach

Anti-patterns (where competitor research misleads)

FAQ

How do I reverse-engineer a competitor's growth?

Run the 4 steps in order — website teardown (3 Wayback versions), social-media channel analysis, traffic-source mapping, ad-spend — then score their 6-stage growth flywheel to find where the strength actually is.

Which content types drive the most spread?

Validated ranking: visual demos (video/GIF) > real user success stories > competitor comparisons > stats/feature announcements. Weight your teardown — and your own launch — toward the top of that list.

What tools do I need?

Wayback Machine for historical website snapshots, SimilarWeb for traffic-source distribution, and Semrush for SEO and ad-spend analysis.

Who built this?

Iris Wei (生姜) — ex-COO of AFFiNE (60K+ GitHub stars), from 150+ AI-startup competitive analyses including a full Lovable launch teardown.

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