Platform Architecture · Complete Blueprint
THE HYPE
ECOSYSTEM OS MAP
The complete sports infrastructure platform — 10 operating systems, one relationship graph, one AI intelligence layer, and the flywheels that power it all.
🏅
ATHLETE OS
The center of the Hype ecosystem. Every stakeholder, data flow, and value exchange radiates from the athlete.
48.2K
Athletes
2,840
NIL Deals
284K
MAU
$4.1M
ARR

Stakeholder Operating Systems

👨‍👩‍👦
PARENT OS
Progress dashboards, recruiting education, NIL visibility, family scheduling, collaborative learning.
Support Layer
📋
COACH OS
Recruiting dashboard, recruit pipeline, visit scheduler, roster gap analysis, AI recommendations.
Discovery Engine
🏫
SCHOOL OS
Athletic department management, team directory, facility showcase, recruiting analytics, compliance tools.
Org Layer
TEAM / CLUB OS
Roster management, schedules, content feeds, announcements, training programs, event calendars.
Team Layer
🤝
SPORTS AGENT OS
Athlete portfolio, deal pipeline, brand matching, meeting scheduler, contract tracking, growth analytics.
Deal Layer
🏢
AGENCY OS
Multi-agent management, portfolio oversight, deal analytics, brand relationship management, revenue tracking.
Exec Layer
📣
BRAND OS
Athlete discovery, NIL campaign manager, deal pipeline, campaign analytics, ROI tracking.
Commerce Layer
📰
PUBLISHER OS
Content distribution, media library, podcast tools, content performance analytics, audience targeting.
Media Layer
FAN OS
Fan feed, discovery engine, communities, reputation system, sports gamification, commerce.
Audience Layer

Platform Infrastructure Layers

🧠
AI INTELLIGENCE
Sits above all OS layers
AI Recruiter
AI NIL Advisor
AI Brand Matcher
AI Fan Personalizer
AI Growth Coach
AI Publisher Asst.
AI Agency Intel
📊
DATA GRAPH
Sports relationship intelligence
Performance signals
Engagement metrics
Recruiting signals
NIL valuations
Content analytics
Commerce signals
Relationship graph
💰
MONETIZATION
Revenue infrastructure
NIL deal facilitation
SaaS subscriptions
Marketplace GMV
Premium analytics
Affiliate commerce
Advertising
Data licensing

Sports Relationship Graph · Entity Map

🏅
Athlete
👨‍👩‍👦
Parent
📋
Coach
Fan
📣
Brand
🤝
Agent
🏫
School
🏢
Agency
📰
Publisher

Relationship Types

Athlete → Others
Parent
Linked · Progress visibility · Scheduling
Coach
Recruited by · Evaluates fit · Track pipeline
Agent
Represents · Manages deals · Grows NIL
Brand
Partners with · NIL campaigns · Commerce
Fan
Follows · Amplifies · Buys merch
Publisher
Distributes content · Creates stories
Cross-Stakeholder Flows
School
Employs coaches · Connects to athletes
Agency
Manages agents · Oversees portfolio
Coach
Belongs to school · Builds roster
Brand
Works with agents · Targets schools
Fan
Follows schools · Buys team merch
Publisher
Covers schools · Sources from graph

Value Flows Between Stakeholders

FromToValue ExchangedPlatform Captures
AthleteBrandAudience, content, influence, NIL rightsDeal facilitation fee (30%)
BrandAthleteRevenue, exposure, products, credibilityTransaction platform share
AthleteCoach/SchoolTalent, academic enrollment, performanceRecruiting SaaS subscription
CoachAthleteOpportunity, scholarship, development, platformData and signal licensing
FanAthleteEngagement, merch revenue, amplificationCommerce GMV cut, fan subscriptions
PublisherFanContent, stories, analysis, entertainmentContent distribution fee, ad rev share
AgentAthleteDeal flow, negotiation, brand accessAgent SaaS, deal pipeline tools
ParentAthleteSupport, scheduling, financial oversightFamily subscription tier

All Operating System Layers

Ecosystem Growth Flywheels

🔄 Primary Flywheel
1
Athletes create content — highlights, stories, training clips on Hype
2
Fans discover content — via AI-personalized feed and discovery engine
3
Fans engage — follows, reactions, shares, community activity, merch
4
Athlete visibility increases — NIL score, school views, fan growth
5
Brands identify athletes — AI brand matcher surfaces opportunities
6
NIL deals occur — brand + athlete + agent + platform coordinate
7
Revenue grows — athlete, agent, platform all benefit
8
More athletes join — word of mouth, success stories, network effect
🔄 Recruiting Flywheel
1
Athletes build profiles — performance data, videos, stats, highlight reels
2
Coaches discover athletes — AI recruiter surfaces best fits for roster gaps
3
Recruiting engagement increases — views, messages, visit requests signal interest
4
School commitments occur — signed commitments, enrollment, press releases on Hype
5
Athlete success stories grow — platform credibility increases for both sides
6
More coaches join — network effect, early movers recruit better talent
🔄 NIL Flywheel
1
Athletes build audiences — content, engagement, Hype platform activity
2
NIL score is calculated — AI uses first-party Hype data + social signals
3
Brands find athletes — AI brand matcher runs campaign fit analysis
4
Agents facilitate deals — pitch, negotiate, coordinate, execute through Hype
5
Athlete value increases — deal history, audience growth, brand proof compound
6
Brands expand campaigns — ROI proven, more athletes added, deal size grows
🔄 Fan Flywheel
1
Fans discover athletes — AI personalized feed, rising athlete discovery
2
Fans amplify highlights — shares, reactions, community activity drive reach
3
Athletes trend — profile views surge, recruiting signals increase, NIL score rises
4
More fans join — early fans bring others, rep system rewards early adopters
5
Commerce activates — fans buy athlete merch, affiliate products, event tickets
6
Publishers write stories — trending athletes become content, content drives more fans

Network Effect Summary

3x
Each new athlete makes the platform more valuable for coaches, brands, and fans
Data Moat
Every interaction builds proprietary sports relationship graph data no competitor can replicate
4 Loops
Primary, recruiting, NIL, and fan flywheels reinforce each other — each strengthens the others

Data Architecture

Data Inputs by Stakeholder
Athlete
Performance, video, engagement, recruiting interest
Fan
Watch time, follows, shares, commerce signals
Coach
Profile views, messages, visit requests, offers
Brand
Campaign spend, deal terms, ROI reports
Publisher
Content performance, audience data, play rates
Agent
Deal flow, negotiation history, athlete outcomes
Intelligence Outputs
NIL Score
Multi-pillar valuation, pricing bands, confidence
Recruit Fit
Coach/athlete compatibility, scheme fit, roster gap
Brand Match
Audience overlap, content affinity, deal size
Fan Rank
Feed ranking, discovery surfacing, retention signals
Risk Alerts
Deal expiry, engagement drops, compliance flags
Growth Plan
Personalized actions per stakeholder, ranked by impact

AI Intelligence Layer · 12 Agents

🎓
AI Recruiter
Guides athletes through recruiting, school matches, outreach drafts, readiness tracking
💰
AI NIL Advisor
NIL valuation, improvement plan, brand readiness, pricing guidance, forecasting
👨‍👩‍👦
AI Parent Asst.
Recruiting education, NIL explainers, visit prep, collaborative learning, calendar support
📋
AI Coach Rec.
Recruit shortlists, roster gap analysis, visit groupings, at-risk recruit alerts
🏫
AI School Ops
Daily ops digest, recruiting roll-up, compliance alerts, profile gap detection
🤝
AI Agent Asst.
Portfolio priorities, brand matches, deal pipeline alerts, relationship risk flags
🏢
AI Agency Intel
Agent leaderboard, portfolio risk analysis, resource deployment recommendations
📣
AI Brand Finder
Athlete campaign matching, budget allocation, fit scoring, undervalued talent discovery
📰
AI Publisher
Trending athlete signals, content briefs, optimal publish windows, audience performance
AI Fan Persona.
Feed ranking, rising athlete discovery, merch recommendations, community matching
💪
AI Growth Coach
Development plans, content habits, training/nutrition/mindset, gap detection
🛒
AI Commerce
Merch drops, affiliate opportunities, store optimization, bundle recommendations

Monetization Model

🤝
NIL Deal Facilitation
30 / 70 split
Platform takes 30% on all NIL deals brokered through Hype. Athlete keeps 70%. Covers matching, pipeline, and infrastructure.
📦
SaaS Subscriptions
$29 – $499/mo
Tiered subscriptions for Coaches, Agents, Schools, Agencies, and Brands. Premium features, AI access, and analytics tools.
🛒
Marketplace Commerce
8–15% GMV cut
Hype takes a cut of all merchandise, affiliate purchases, and commerce transactions through the Hype Marketplace.
📊
Premium Analytics
$99–$999/mo
Advanced NIL analytics, recruiting intelligence, market benchmarking, and data exports for power users and enterprises.
📣
Advertising & Sponsored
CPM/CPA model
Targeted in-feed advertising for brands, boosted discovery placement for athletes and schools, sponsored content units.
🔗
Data Licensing
Enterprise pricing
Sports relationship graph data, NIL market benchmarks, and recruiting signal data licensed to media companies, research firms, and institutions.

Revenue by Segment

ARR Breakdown
NIL Deals
42%
SaaS Subs
31%
Commerce
15%
Advertising
8%
Data Licensing
4%
Key Metrics
ARR
$4.1M
MRR
$341K
LTV:CAC
8.4×
Net Revenue Retention
118%

Database Schema · Core Entities

EntityKey FieldsRelationshipsNotes
Athletesid, user_id, sport, position, class_year, school_id, nil_score, readiness_score, verified→ parents, coaches, teams, agents, brandsCore node — everything connects here
Parentsid, user_id, athlete_ids[], permission_level, subscription_tier→ athletes (1:many)Permission-gated access to athlete data
Coachesid, user_id, school_id, sport, position, recruiting_tier, ai_access→ schools, athletes (recruiting)Drives recruiting pipeline data
Schoolsid, name, division, sport_count, athlete_count, valuation, verified→ coaches (1:many), teams (1:many)Org layer containing coach + team data
Teamsid, school_id, sport, division, roster_ids[], season_record→ athletes (many:many), schoolCan exist independently of schools
Agentsid, user_id, agency_id, athlete_ids[], nil_volume, retention_rate→ athletes (1:many), agency, brandsDeal pipeline lives on agent profile
Agenciesid, name, agent_ids[], total_nil_volume, brand_relationships[]→ agents (1:many)Executive layer aggregating agent data
Brandsid, category, campaign_budget, active_deals[], target_sports[]→ athletes (brand deals), agentsNIL campaign management and discovery
Publishersid, name, audience_size, content_types[], distribution_partners[]→ athletes (content), fansSports media distribution layer
Fansid, follows[], rep_score, level, merch_spend, engagement_score→ athletes, teams, schools (follows)Audience engagement and commerce layer
NILDealsid, athlete_id, brand_id, agent_id, value, deliverables[], status, expiryAthlete × Brand × AgentCore transaction entity
RecruitingInterestid, coach_id, athlete_id, school_id, stage, fit_score, last_contactCoach × AthletePipeline tracking entity
AgentTriggersid, event_type, entity_id, agent_id, output_type, status, fired_at→ all entitiesAI agent activation and action log

API Layer · Core Endpoints

MethodEndpointDescriptionOS Layer
GET/athletes/:id/profileFull athlete profile with NIL score, stats, mediaAthlete OS
GET/athletes/:id/nil-scoreLive NIL valuation with pillar breakdownAI · NIL Advisor
GET/ai/recruit-recommendationsAI-ranked recruit matches for a coachCoach OS
GET/ai/brand-matches/:athlete_idRanked brand opportunities with fit scoresBrand OS · NIL
POST/nil-dealsCreate new NIL deal — athlete + brand + agentAgent OS
GET/fans/:id/feedAI-personalized fan content feedFan OS
GET/schools/:id/recruiting-analyticsRecruit pipeline, coach activity, conversion dataSchool OS
GET/agents/:id/portfolioAthlete portfolio with NIL scores and deal statusAgent OS
GET/ai/agent-homePersonalized AI agent briefing for any user roleAI Layer
POST/ai/tasks/completeMark AI-generated task as complete, update scoreAI Layer
POST/ai/feedbackUser feedback on AI recommendation qualityAI Layer
GET/brands/:id/campaign-analyticsROI, reach, engagement metrics per campaignBrand OS
GET/graph/relationships/:entity_idSports relationship graph for any entityData Layer
POST/marketplace/ordersCreate commerce order through Hype marketplaceCommerce

Strategic Recommendations

🏅
Athlete Network Effect is the Moat
Every incremental athlete makes the platform dramatically more valuable for coaches, brands, fans, and publishers simultaneously. Prioritize athlete acquisition above all else in the first 3 years. Athlete supply is the rate-limiting variable for every other flywheel.
🧠
AI Layer is the Defensible Differentiator
No competitor can replicate the AI layer once the sports relationship graph is deep enough. First-party Hype engagement data (profile views, message opens, visit confirmations) produces NIL and recruiting signals that social platforms cannot generate. Build the data moat aggressively before competitors realize what it is.
📊
NIL Infrastructure is the Revenue Engine
The 30/70 NIL facilitation model generates compounding revenue as athlete valuations rise. Focus on closing deals, not just matching. A completed deal is worth 10x more to the platform than an unacted recommendation. Build deal-closing workflows for agents and brands first.
📋
Coach + School SaaS is the Fastest B2B Revenue
Recruiting software is a proven SaaS category with clear ROI for coaches. Schools are budget-holders, not just users. Sell to Athletic Directors and Recruiting Coordinators at $299–499/mo per sport. One signed school deal can unlock 5–15 coaches on the platform simultaneously.
Fan Engagement Unlocks Media Value
Fans are the largest stakeholder group but the lowest-monetized in most sports platforms. The Fan OS creates the audience infrastructure that makes Hype valuable to publishers, advertisers, and brands at scale. Fan data (follows, engagement, merch preferences) is the fuel for the AI Fan Personalizer and the Publisher OS content engine.
🏢
Agency Partnerships Accelerate Athlete Onboarding
Sports agencies bring 10–100 athletes per relationship. Prioritize landing 5–10 mid-size agencies in Year 1. Agencies are motivated by deal flow improvement, not just profile tools. Build agency-level pipeline and analytics features first — these justify enterprise contracts and bring athlete portfolios with them.
📰
Publisher Partnerships Amplify Platform Reach
Publishers create content but struggle to discover rising athletes. Hype's sports relationship graph is a content intelligence machine. Offer publishers early access to rising athlete data in exchange for distribution partnerships. This creates a media amplification layer that drives fan and athlete acquisition at near-zero marginal cost.

Platform Positioning

LINKEDIN
Professional graph, career identity, recruiter tools, premium subscriptions
→ Hype is this for sports: identity, recruiting, career graph
SHOPIFY
Commerce infrastructure, enabling creators to monetize their audience
→ Hype is this for sports: NIL infrastructure for every athlete
YOUTUBE
Creator ecosystem, discovery, ad revenue, subscriber monetization
→ Hype is this for sports: athlete-as-creator with structured revenue
HYPE = LINKEDIN + SHOPIFY + YOUTUBE — built for sports
The category-defining platform. No direct comparable exists. First mover advantage is real and compounding.