Executive Summary: The Intelligence Layer
RealSkin is a trust-first, community-powered intelligence protocol. It is an epistemic engine mapping biological skin profiles to chemical interventions. RealSkin is explicitly not a retailer, nor is it a teledermatology clinic. We do not sell products — we sell the blind spots in the market back to enterprise players via data licensing. Dermatologists provide clinical context, not prescriptions. Products are treated as data nodes, not SKUs.
Core '-ity' Vocabulary
Visual & Lexical Directives
Banned Terms
- Buy / Cart / Shop
- Match Score
- Prescription
- Storefront
- Review
- Sephora / Curology
Required Terms
- Confidence Interval
- Outcome Data Log
- Clinical Context
- Data Node
- Intelligence Feed
- Biological Profile
- Epistemic Engine
Target Architecture & Revenue Logic
The interface is strictly informational, clinical, and devoid of transactional friction. Users receive high-fidelity data on how specific chemical compounds interact with their exact biological profile, verified by clinical context.
Revenue is driven entirely B2B — licensing longitudinal, aggregated outcome data to enterprise cosmetic and pharmaceutical companies. They pay RealSkin to understand the ground truth of their own market: what actually works, on whom, and why.
Social Graph (The WHO) — Acquisition Loop
To solve the cold-start data problem and build the initial Knowledge Graph, RealSkin targets high-intent, scientifically rigorous skincare communities: active compound trackers, clinical trial participants, niche dermatology subreddits. By offering a superior, ad-free environment to log and track outcome data with clinical context, RealSkin captures the high-fidelity seed data required to train the platform's confidence intervals.
- Target: scientifically literate skincare enthusiasts first
- Value exchange: ad-free intelligence feed in return for longitudinal outcome data
- No buy buttons. Ever.
- First 10,000 users are the training set, not the customer base