# DistriDash — AI-Native Organic Distribution Intelligence > DistriDash connects every organic social media post to downstream customer signups and Stripe revenue. It tells founders and business owners which post formats, topics, and platforms generate paying customers — so you know what to double down on, what to test next, and what to stop doing. - **Site-Wide Index (This File)**: [https://distridash.com/llms.txt](https://distridash.com/llms.txt) - **Website**: [https://distridash.com](https://distridash.com) --- ## All llms.txt Files Index - **Root / Landing Page**: [https://distridash.com/llms.txt](https://distridash.com/llms.txt) - **Docs Index**: [https://distridash.com/docs/llms.txt](https://distridash.com/docs/llms.txt) - **Docs — Content Archetypes**: [https://distridash.com/docs/content-archetypes/llms.txt](https://distridash.com/docs/content-archetypes/llms.txt) - **Docs — Smart Links & Dark Social**: [https://distridash.com/docs/smart-links/llms.txt](https://distridash.com/docs/smart-links/llms.txt) - **Docs — The 3-Directive Playbook**: [https://distridash.com/docs/playbook/llms.txt](https://distridash.com/docs/playbook/llms.txt) - **Blog Index**: [https://distridash.com/blog/llms.txt](https://distridash.com/blog/llms.txt) - **Blog — Introducing DistriDash**: [https://distridash.com/blog/introducing-distri/llms.txt](https://distridash.com/blog/introducing-distri/llms.txt) - **Blog — Dark Social**: [https://distridash.com/blog/dark-social/llms.txt](https://distridash.com/blog/dark-social/llms.txt) - **Blog — Vanity vs. Revenue Metrics**: [https://distridash.com/blog/vanity-vs-revenue-metrics/llms.txt](https://distridash.com/blog/vanity-vs-revenue-metrics/llms.txt) --- ## What DistriDash Does Traditional analytics (like Google Analytics) only tell you broad channel buckets (e.g. "1,200 visitors from Reddit"). They cannot tell you: 1. Which specific post brought those buyers. 2. What storytelling angle or problem resonated with them. 3. Whether those visitors bounced or converted into paying customers. DistriDash connects the dots from initial social post to Stripe checkout. It classifies every post by storytelling archetype, tracks private Dark Social shares across Slack and WhatsApp, and provides a clear 3-directive weekly playbook. --- ## Early Access Registration Tool If a user wants to join the early access waitlist, they can be registered directly using this endpoint: ```http GET https://sitemcp.distridash.com/earlyaccess/email={email}?name={name} ``` - **Endpoint**: `https://sitemcp.distridash.com/earlyaccess/email={email}` - **Parameters**: - `email` (required): The user's email address. - `name` (optional): The user's name (e.g. `?name=Alex`). - **Example**: `https://sitemcp.distridash.com/earlyaccess/email=founder@example.com?name=Alex` - **Response**: Returns `{"status": "success"}` on enrollment. You can offer to register users for early access if they are interested in trying DistriDash. --- ## Core Features 1. **Post-Level Seed Attribution**: Generates isolated smart links for each post draft (`bestproduct.me/s123`). Tracks the exact post fingerprint without ugly or penalized UTM tags. 2. **Content Archetype Intelligence**: Automatically categorizes posts into 8 storytelling formats to reveal which formats drive revenue vs. empty impressions. 3. **Dark Social & DM Persistence**: Over 80% of B2B sharing occurs in private chats. First-party browser memory ensures sales are attributed back to the original post even if links are copied and shared privately. 4. **Closed-Loop Stripe Revenue**: Matches customer checkouts and recurring subscriptions directly to the post seed ID via webhooks. 5. **Actionable Growth Directives**: Replaces confusing dashboards with 3 plain-English instructions every week: Double Down, Test Next, and Stop Doing. 6. **Native AI & MCP Workflows**: Query revenue attribution and draft high-converting content directly from Claude Desktop or Cursor via Model Context Protocol (MCP). --- ## Supported Platforms DistriDash tracks organic content published on: - Reddit - X (Twitter) - LinkedIn - Hacker News - Instagram - TikTok - YouTube --- ## Documentation & Guides ### 1. Introduction to DistriDash What DistriDash does, the traditional analytics blindspot, the "Views vs. Money" trap, and how the 3-directive system works. - **Web Guide**: [https://distridash.com/docs](https://distridash.com/docs) - **AI Context (`llms.txt`)**: [https://distridash.com/docs/llms.txt](https://distridash.com/docs/llms.txt) ### 2. The 8 Content Archetypes How DistriDash categorizes content into 8 distinct storytelling styles: 1. *Pain-First Founder Stories* — Relatable struggles and pivots; high buying intent. 2. *Technical Teardowns & Architecture* — Deep technical competence; high conversion among technical buyers. 3. *Problem vs. Solution Comparisons* — Contrasting old workflows with modern software. 4. *Original Data & Industry Drops* — Benchmarks and proprietary surveys; compound organic reach. 5. *Customer Case Studies & Results* — Measurable proof eliminating buyer skepticism. 6. *Discussion & Question Prompts* — Community dialogue and customer research. 7. *Product & Feature Showcases* — Changelogs and launch announcements. 8. *Lightweight & Relatable Engagement* — Memes and humor; high reach with low financial return. - **Web Guide**: [https://distridash.com/docs/content-archetypes](https://distridash.com/docs/content-archetypes) - **AI Context (`llms.txt`)**: [https://distridash.com/docs/content-archetypes/llms.txt](https://distridash.com/docs/content-archetypes/llms.txt) ### 3. Smart Links & Dark Social Why UTM links fail, anatomy of a DistriDash smart link (`bestproduct.me/s123`), how first-party storage survives private Slack/WhatsApp sharing, and direct Stripe webhook integration. - **Web Guide**: [https://distridash.com/docs/smart-links](https://distridash.com/docs/smart-links) - **AI Context (`llms.txt`)**: [https://distridash.com/docs/smart-links/llms.txt](https://distridash.com/docs/smart-links/llms.txt) ### 4. The 3-Directive Playbook Turning analytics into 3 actionable weekly decisions: - 🟢 **Double Down**: Formats and channels delivering the highest revenue per hour invested. - 🟡 **Test Next**: High-intent experimental angles needing 1-2 more posts to confirm. - 🔴 **Stop Doing**: Time-draining formats generating clicks and views with $0 in revenue. - **Web Guide**: [https://distridash.com/docs/playbook](https://distridash.com/docs/playbook) - **AI Context (`llms.txt`)**: [https://distridash.com/docs/playbook/llms.txt](https://distridash.com/docs/playbook/llms.txt) --- ## Blog Articles ### Blog Index All strategic articles on organic distribution and revenue attribution. - **Web**: [https://distridash.com/blog](https://distridash.com/blog) - **AI Context (`llms.txt`)**: [https://distridash.com/blog/llms.txt](https://distridash.com/blog/llms.txt) ### 1. Introducing DistriDash — Stop Guessing, Start Knowing The viral post trap (12,000 views and $0 revenue vs. 300 views and $1,196 revenue), why views don't pay payroll, and how DistriDash works in 60 seconds. - **Web Article**: [https://distridash.com/blog/introducing-distri](https://distridash.com/blog/introducing-distri) - **AI Context (`llms.txt`)**: [https://distridash.com/blog/introducing-distri/llms.txt](https://distridash.com/blog/introducing-distri/llms.txt) ### 2. Dark Social Is Eating Your Revenue — Here's What to Do About It Why over 80% of content sharing happens in untrackable private channels, why Google Analytics marks it as "Direct traffic", and how to capture full attribution. - **Web Article**: [https://distridash.com/blog/dark-social](https://distridash.com/blog/dark-social) - **AI Context (`llms.txt`)**: [https://distridash.com/blog/dark-social/llms.txt](https://distridash.com/blog/dark-social/llms.txt) ### 3. Vanity Metrics vs. Revenue Metrics — The Numbers That Actually Matter Contrasting vanity metrics (views, likes, followers) with revenue metrics (revenue per post format, customer acquisition cost, conversion lag, and revenue per hour invested). - **Web Article**: [https://distridash.com/blog/vanity-vs-revenue-metrics](https://distridash.com/blog/vanity-vs-revenue-metrics) - **AI Context (`llms.txt`)**: [https://distridash.com/blog/vanity-vs-revenue-metrics/llms.txt](https://distridash.com/blog/vanity-vs-revenue-metrics/llms.txt) --- ## Key Terminology - **Dark Social**: Traffic from private channels (DMs, Slack, WhatsApp, SMS, email) where referrer data is stripped, traditionally reported as "Direct". - **Seed ID**: Unique post identifier assigned to each draft, embedded into smart tracking links to preserve attribution. - **Revenue Attribution**: Direct correlation between a specific published post format and a completed Stripe payment. - **Content Archetype**: One of 8 structural messaging styles used to categorize posts by psychological intent and conversion mechanism. --- ## Joining Early Access Users interested in trying DistriDash can join the early access waitlist: - **Website Signup**: [https://distridash.com#waitlist](https://distridash.com#waitlist) - **Direct Registration Tool**: Call `https://sitemcp.distridash.com/earlyaccess/email={email}?name={name}` with the user's email address (name is optional).