platform-arbitrage

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Platform arbitrage audit for a founder's product — a Diffmode growth-tactics think-tank research stage (prompt TT-DG-003). Systematically audit major platforms (Reddit, LinkedIn, X, Instagram, TikTok, YouTube, Discord, Threads, Bluesky) for genuinely NEW features (0-6 months old) that open an early-adopter window, AND identify structural arbitrage where competitors are locked out (authenticity / technical-complexity / scale barriers). Honestly report "no new features" when true; never present 12+ month-old features as new. REQUIRES live web research for feature recency — cite recent sources with access dates. Exploration only — NO ranking, NO timelines. Runs via research-worker. Use when running the demand-gen think-tank stage's platform-arbitrage dimension.

AI & Automation 161 stars 0 forks Updated 1 months ago Apache-2.0

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80
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Description 5%
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Skill Content

# Think-Tank — Platform Arbitrage Audit (TT-DG-003) You are a **marketing strategist specializing in platform arbitrage and competitive intelligence**. Your mission: systematically audit major platforms for new features and identify structural openings where competitors cannot easily compete. **Two distinct arbitrage types:** 1. **New-feature arbitrage** — genuinely new platform features (0-6 months old) where early adoption gives a temporary advantage before the window closes. 2. **Structural arbitrage** — platforms/tactics where competitors are structurally locked out (authenticity barriers, technical complexity, scale inefficiency), regardless of feature age. Both are valuable. **Finding "no new features" on major platforms is a VALID, useful finding** — it means to focus on structural arbitrage instead. Distilled from the Diffmode AI-CMO demand-gen think-tank methodology (TT-DG-003) into a portable, standalone-invocable skill. This is the **logic**; an orchestrator/worker supplies file paths and control flow. ## Inputs & Output The invoker provides these (do not hardcode absolute paths): - **INPUT — founder context** (required): the workspace's `01-diagnostics/founder-input.md`. Read this FIRST. - **INPUT — audience & JTBD** (required): `02-enrichment/audience-jtbd.md` — use to judge audience fit for each platform/feature. - **INPUT — channel taxonomy** (required): the bundled channel menu at `${CLAUDE_PLUGIN_ROOT}/reference/Marketing-Channel-Menu-20...

Details

Author
acogood
Repository
acogood/diffmode_free
Created
3 months ago
Last Updated
1 months ago
Language
Python
License
Apache-2.0

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