distribution-analysislisted

<!-- version: 0.3.0 | outputs: memory/ideas/<slug>/distribution.json --> # Skill: distribution-analysis ## Purpose Distribution is the most underestimated factor in indie app success. A mediocre product with great distribution beats a great product with no distribution. This skill evaluates all realistic paths to users and adapts its verdict to the founder's tier — a channel that works for a growth-stage operator can be a trap for a beginner. ## Input - Idea slug - `memory/user_profile.md` (ICP tier, distribution advantages, inner-circle buyers, budget constraint) - `memory/ideas/<slug>/idea.md` (app concept, key features, differentiator, `business_model`) - Optional: `memory/ideas/<slug>/competitors.json` (competitor distribution signals) ## Distribution Dimensions | Dimension | Questions to Answer | |---|---| | Organic reach | Can this spread without paid spend? Is there a viral loop? What's the estimated viral coefficient? | | Paid feasibility | Can paid ads break even at indie scale? What's the minimum viable budget? | | Platform advantage | Is there an ASO moat? App Store featured potential? Category competitiveness? | | Creator economy fit | Can influencers or creators promote this authentically? Does the app produce shareable output? | | User's distribution edge | Does the user have an existing audience, community, or channel expertise? | ## Process ### Lane selection `business_model` = `b2c` uses the ASO rubric (Step 2a) and creator fit (Step 3a). `prosumer`