M
Marquee

Architecture & Strategy

v1.0 — August 2026 · Confidential · Built on QiD × Cameo × BentPixels

The first platform where every fan has a face, every demographic is a fact, and every data share is a choice.

Marquee is a three-portal platform that turns the creator–fan–brand relationship from a guessing game into a verified marketplace. Creators credentialize their audiences — transforming unverified follower counts into liveness-proven, government-ID-verified fan communities with deterministic demographics. Fans receive a portable identity credential they use once and carry everywhere. Brands access the only audience targeting in the industry where every reached human is confirmed real, the demographics are government-derived, and every data access is consent-gated with cryptographic receipts.

$4.8B
Wasted on influencer fraud annually
37.2%
of influencer followers are fake
81%
of marketers encountered fraud in 2026
0.0%
Fraud rate on Marquee
4.3×
Better CPA for brands using verified audiences
The flywheel
Three personas, one compounding cycle
Creator gates exclusive content
Fan verifies to access
Audience maturation rises
Brand pays for verified targeting
Creator earns premium
Project name
Naming

A marquee is the illuminated sign above a theater — the most visible, most coveted real estate in entertainment. Creators want to be on it. Fans look at it. Brands sponsor it. Cameo is the company; Marquee is the product.

Selected name
Marquee
Ovation
Cameo Club
Bent Pixel Club
Cameo Prism
Macro shift
The death of mainstream media, the rise of independent creators

Three tectonic forces are creating the market Marquee serves.

Trust in mainstream media has collapsed

Only 28% of Americans trust newspapers, television, and radio to report news accurately — a record low and a 42-point drop from the 1970s when Gallup first measured trust at 70%. The decline is steepest among younger adults: no age group under 65 exceeds 28% trust. The audience isn't disappearing — it's migrating to independent creators they trust more than institutions.

Source: Gallup, October 2025 — "Trust in Media at New Low of 28% in U.S."

The creator economy is replacing mainstream media

The global creator economy reached $250–310 billion in 2026 and is projected to exceed $1 trillion by 2034. More than 200 million people worldwide identify as content creators. Goldman Sachs projects 107 million creators by 2030. YouTube alone paid creators, artists, and media companies more than $100 billion over four years. Independent creators are not a niche — they are the new media.

Source: Grand View Research ($310B, 23.3% CAGR); Goldman Sachs (67M creators 2025 → 107M by 2030); YouTube CEO letter, Jan 2026

But the creator-brand infrastructure is broken

Influencer marketing hit $32.55 billion in 2025, yet 37.2% of followers are fake and $4.8 billion is wasted annually on fraud. Brand deals are negotiated on estimated reach — estimated demographics that are wrong 37% of the time. Creator-brand deal-making is ad hoc, manual, and built on data nobody trusts. 81% of marketers encountered influencer fraud in the past year with median waste of $128,000 per campaign.

Source: SociaVault Labs 100K-account study; World Federation of Advertisers (1,400 marketers, 28 countries); HypeAuditor
The three markets
What each group needs — and doesn't have

Creators

"I have 2M fans but I can't prove a single one is real. Brands discount me."

  • Follower counts are polluted by bots and dormant accounts
  • Brand deals priced on estimated reach, not verified demographics
  • No protection against LLM persona replication
  • Revenue depends on algorithms they don't control

Fans

"I want to be seen by the creator I love — and I want one credential that works everywhere."

  • Invisible in a sea of millions of followers
  • Re-verify identity at every new app, bank, and service
  • No control over who has their data or how it's used
  • Vulnerable to data breaches and platform leaks

Brands

"I need to know the audience is real before I spend $50K on a campaign."

  • 37.2% of influencer followers are fake
  • Demographics are estimated, not verified
  • $128K median waste per campaign from fraud
  • Privacy regulation is eroding tracking-based targeting
The opportunity
Verified audiences are worth 5× more

ID.me proved that verified community users deliver 43% higher average order value with 5.4× ROI in a single quarter. Their 157 million verified users generate $150M+ in annual revenue. Applying this verification model to the $310 billion creator economy — where 37% of the audience is fake — represents a massive value creation opportunity for creators, fans, and brands alike.

Unfair advantage
Three assets that solve the cold start problem

Any startup attempting this from scratch faces a three-sided cold start — creators, fans, and brands — with no distribution, no data, and no identity infrastructure. We start with all three.

Cameo

50K+ creators · 1M+ fulfilled requests · TikTok integration live

Existing creator-fan transaction relationships. Every Cameo request is a fan who paid to interact with a creator — the highest-signal relationship in the creator economy. These transaction pairs are the seed for verified fan communities.

"We don't need to acquire creators. We already have them."

BentPixels

10K+ YouTube partners · Creator intelligence layer · Brand relationships

Creator intelligence data — authenticity scores, brand safety assessments, audience demographics, engagement metrics — across thousands of YouTube creators. Plus existing brand deal relationships that shorten the sales cycle from months to weeks.

"We don't need to build creator intelligence. We already have it."

QiD

751-component React library · Chelsea FC as customer · Passkey-first

Privacy-preserving identity infrastructure, biometric verification, Passkey for user LOVE, Graduated Identity framework, 751-component React library, Chelsea FC as customer, government-grade credential issuance.

"We don't need to build identity infrastructure. We already have it."
Cold start strategy
The creator cluster — scored 9/10 on every axis

The optimal launch unit is a cluster of 5 YouTube creators with overlapping fan bases — identified by BentPixels data, launched together. Portability proven on day one: a fan who verifies for Creator A taps into Creator B's fan club instantly. Replicable monthly. One cluster per month = 60 creators in Year 1.

9
Ease of GTM
9
Risk elimination
9
Speed
9
Certainty
Three portals
Creator portal · Fan portal · Brand portal

Three portals, each built from Jake's 751-component React library, powered by QiD's identity infrastructure. The Cameo v2 demo (317 components) already covers Fan, Talent, and Business surfaces — the three Marquee portals can be assembled from existing parts, not built from scratch.

Creator portal

Onboard, credentialize fans, manage audience, negotiate brand deals

  • Profile setup and identity verification
  • Content gating by tier (⭐/⭐⭐/⭐⭐⭐)
  • Audience maturation dashboard
  • Brand deal marketplace and deal room
  • The Map — see who has your audience data
  • Rewards Card studio

Fan portal

Discover, verify, access exclusive content, manage portable credential

  • Personalized feed with blurred exclusive previews
  • One-tap verification (gov ID + liveness)
  • Exclusive content, presale, fan club access
  • The Map — see and control your data
  • Rewards Card in Apple/Google Wallet
  • Portable credential across all organizations

Brand portal

Discover creators, target verified audiences, measure real delivery

  • Search by verified audience demographics
  • Community maturation dashboard
  • Campaign brief submission and creator matching
  • Consent-gated audience targeting
  • Verified delivery measurement
  • BentPixels evidence integration
Graduated identity
One star system · Three tiers · Every context

The star is the universal signal. What it unlocks depends on where you present it. A ⭐⭐ at a fan club opens the VIP section. The same ⭐⭐ at a bank opens a full account. The credential doesn't change — the context determines what it's worth.

Tier
Fan
Creator
Brand
Bank
⭐ Recognized
Follow, browse, Cameos, personalized feed
Public listing, receive requests
Browse marketplace, sample data
View-only, prepaid
⭐⭐ Verified
Gated content, presale, verified badge, portable credential, The Map, receipts
Verified badge, credentialize fans, brand marketplace, NIL protection
Full audience explorer, campaign builder, verified targeting
Full KYC, account opening, payments
⭐⭐⭐ Proven
Inner circle, superfan badge, priority drops, creator DMs
Premium brand matching, licensing, higher revenue share
Trusted partner, custom segmentation
Enhanced services, higher limits
What brands see
Community maturation dashboard
DJ Vlad's verified audience
Total followers2.4M
Verified (⭐⭐)347,000 (14.5%)
Superfans (⭐⭐⭐)12,100 (3.5%)
Demographics (gov-verified)Male 78% · 25-34: 41% · NYC: 18%
Maturation velocity▲ +2.3pp/month
Credential freshness94% re-verified < 90 days
Cross-context usage23% used credential at 2+ orgs
Fraud rate0.0%

This is the data that no other platform in the world can show. Facebook Ads gives probabilistic audience estimates from tracking signals. Marquee gives deterministic verified demographics from government IDs.

Creator value stack
What creators get — ranked by impact
1
Your verified audience is worth more than your follower count
2-3× premium on brand deals when backed by government-verified demographics
2
Protect your name, image, and likeness — with legal teeth
UCC Article 12 enforceable identity record, defense against LLM persona replication
3
Own your audience — stop renting from algorithms
Direct communication channel, portable fan data, no algorithm dependency
4
Brand deal marketplace — deals come to you, backed by data
Brands search by verified audience demographics, submit briefs directly
5
Community maturation — your audience gets more valuable over time
Compounding asset: verification deepens, credentials stay fresh, engagement sustains
Fan value stack
What fans get — ranked by emotional pull
1
The inner circle — content and access only real fans get
Behind-the-scenes, early releases, AMAs, the stuff your creator doesn't put anywhere else
2
The credential you'll use for the rest of your life
Verify once, use everywhere — fan clubs, banks, apps. Never fill out another form.
3
The Map — see everything, control everything
Every org that has your data, visible and revocable with a single tap
4
Your creator knows you're real — and you can prove it
Verified badge, fan leaderboard, visible to the creator by name
5
Skip the line — presale, priority, first access to everything
Concert tickets, merch drops, limited editions — verified fans get there first
Brand value stack
What brands get — ranked by ROI impact
1
You're paying for real humans — proof, not promises
4.3× better CPA. Every fan passed a government ID check and a liveness verification.
2
Demographics you can bet your budget on
From government-issued documents, not behavioral inference or tracking pixels
3
The fraud tax is zero
Not "low." Not "detected." Zero. Structurally impossible. Bots can't produce government IDs.
4
Consent-first targeting — privacy as competitive advantage
Every data access comes with explicit, per-instance, revocable consent and cryptographic receipts
5
Community maturation — audiences that improve over time
The only targeting signal that gets stronger. Facebook/Google signals are degrading.
Product backlog
90 user stories across 3 portals

15 personas and 90 user stories — 30 per class — all tagged with tier, priority, and QiD dependency. 31 stories are P0 (must ship for MVP). Full backlog available in companion document.

Primary strategy
The creator cluster

Five overlapping YouTube creators, identified by BentPixels data, launched together. A fan who verifies for Creator A taps into Creator B's fan club instantly — portability proven on day one. One cluster per month. Scale by replication, not by individual onboarding.

Cluster selection criteria

5 creators who collaborate · 30%+ mutual audience overlap between at least 3 pairs · Combined unique audience of 1M+ · Authenticity scores above 85% · Brand-safe content · At least one 500K+ anchor creator

The first 90 days
From zero to first brand deal
Week 1–2

Identify and recruit Cluster #1

BentPixels identifies 5 creators with overlapping audiences. Account manager makes personal outreach. Founding terms: 0% platform fee for 12 months.

Week 3–4

White-glove onboarding

All 5 creators verify (⭐⭐). Each gates 5-10 pieces of exclusive content. BentPixels provides content strategy support.

Week 5–6

Coordinated launch

All 5 announce simultaneously. Cross-promotion is natural — they're friends. Total addressable: 1M-3M fans.

Week 7–8

Verification wave

Target: 10K-20K verified fans across the cluster. Fans who verify for one creator discover instant access to the other four.

Portability demonstrated within the first session
Week 9–12

First brand deals

BentPixels brand team pitches verified audience data. Target: 2-3 deals. Campaign results become the case study for Cluster #2.

Revenue within 90 days
Rinse and repeat
Scaling from Cluster #1 to Cluster #12 — one per month

The cluster model is a replicable unit. What works for Cluster #1 gets systematized, documented, and repeated. Each subsequent cluster gets easier because the playbook sharpens, case studies accumulate, the verified fan base grows, and brand deal flow increases. One cluster per month. Twelve clusters in twelve months.

Cluster #1

Prove the model

White-glove onboarding. BentPixels account manager hand-holds every step. Learn what breaks, what converts, what content works behind the gate, what the creator pitch actually sounds like in their words. Document everything. The case study from this cluster recruits every subsequent one.

5 creators · 10K-20K verified fans · 2-3 brand deals · Month 1-3
Clusters #2–3

Validate the playbook

Apply Cluster #1 learnings. Test whether the playbook works with a different genre, different audience size, different geography. Refine the onboarding script, content strategy guide, and social announcement templates based on what actually converted in Cluster #1. Share Cluster #1 case study as the recruitment tool — "here's what happened to creators like you."

10 more creators · 30K-50K cumulative verified fans · 5-8 brand deals · Month 3-4
Clusters #4–6

Systematize

Onboarding becomes semi-automated: templated content strategy guide, pre-built social posts, AI-assisted tier mapping, automated audience maturation tracking. BentPixels identifies cluster candidates via pipeline — not ad hoc selection but a scored ranking of the next best cluster by overlap density, authenticity, and brand-deal readiness. Creator-to-creator referrals begin — Cluster #1 creators recommend friends for Cluster #5.

15 more creators · 80K-120K cumulative verified fans · 15-25 brand deals · Month 5-7
Clusters #7–12

Network effects kick in

New clusters benefit from the existing verified fan base — fans who verified through earlier clusters may already follow creators in new clusters. The "already verified" rate at launch climbs from 0% (Cluster #1) toward 15-25% (Cluster #12), meaning new creators see verified fans populate their dashboard on day one without any credentialization campaign. Brand demand outpaces creator supply — brands are now requesting specific audience segments and the platform matches them to clusters. Self-serve creator applications begin; the best applicants are clustered by BentPixels overlap data and launched in batches.

30 more creators · 250K-400K cumulative verified fans · 50+ brand deals · Month 8-12

Why each cluster gets easier than the last

Five compounding advantages accumulate with every cluster launched:

Case studies multiply — each cluster produces a data-backed success story that recruits the next cluster
Verified fan base grows — fans from prior clusters overlap with new cluster audiences, so new creators launch to a partially pre-verified audience
Brand deal flow increases — more verified supply attracts more brand demand, creating a marketplace effect
Playbook sharpens — onboarding scripts, content strategy guides, and social templates are refined by real conversion data from each prior cluster
Creator referrals start — creators in Cluster #1 recommend their friends for Cluster #5, reducing outreach costs to near zero
60
Creators by Cluster #12
400K
Verified fans
50+
Brand deals
12
Months
Parallel tracks
Three tracks running simultaneously

Track 2: Chelsea beachhead

QiD verification embedded in Chelsea's mobile app. Verified fan ticketing for at least one match. First sponsor campaign against verified audience data. Case study for every sports entity. Timeline: 6-9 months.

Track 3: Credential acceptance network

Sign organizations adjacent to each creator base: UK financial services for Chelsea fans, US digital services for creator cluster fans. Each new partner expands the portability value. The "holy shit" moment isn't Chelsea ↔ Cameo — it's Chelsea ↔ Barclays and Cameo ↔ Cash App.

Track 4: Opportunistic acquisition

Continuous due diligence on failed creator platforms. Active creator base + clean contracts at distressed price ≤ $5M. When the right target appears, move fast.

Revenue model
Who pays what

Brand campaign fee

12% of campaign value. A $50K campaign → Platform keeps $6,000 → Creator receives $44,000. Positioned at the top of Patreon's range (5-12%) but justified by verified audience data + brand deal marketplace that Patreon doesn't offer.

Audience access subscription

$500-$10K/month for brands to search verified audience demographics and community maturation data across all creators.

Additional streams

Verification sponsorship ($1-5/fan verified) · Open Call posting ($500-2K) · API access for agencies ($2K-10K/month) · Optional fan subscriptions (creator-set price, 5% platform fee) · Superfan segment premium (3-5× base CPM)

Unit economics
The $50K campaign breakdown
Campaign budget$50,000
Platform fee (12%)$6,000
Creator payment$44,000
Verified fans reached100,000
Expected conversions (3.1%)3,100
CPA (Marquee)$16.13
CPA (industry benchmark)$50–$300
Roadmap
Three phases to scale
Phase 1 · Mo 1–3

Foundation + Cluster #1

MVP (3 portals), 5 creators, 10K-20K verified fans, 2-3 brand deals, first case study. Team: 3-4 people.

Target: $50K–$200K revenue
Phase 2 · Mo 4–9

Scale + Chelsea live

Clusters #2-#4, Patreon migration, Chelsea verified ticketing, Rewards Card, portable credentials. 25 creators, 100K verified fans. Team: 5-6 people.

Target: $500K–$1.5M revenue
Phase 3 · Mo 10–18

Network effects + moat

100+ creators, 500K+ verified fans, licensing marketplace, API access, credential network expansion. Team: 8-9 people.

Target: $1M–$3.5M revenue
Competitive positioning
The empty quadrant

Every competitor is either consumer-facing but walled (your identity only works within their network) or infrastructure-only (invisible to end users). Marquee is the only platform that's both consumer-facing AND portable.

Consumer-facing
Walled garden
ID.me · Clear
Marquee
UNiDAYS · Okta
Student Beans
Clerk · SheerID
Stytch
Portable credentials
Infrastructure
ID.me proof points
Verified audiences command premium — the evidence

ID.me is the closest analog and the strongest evidence that the verified-audience model works at scale.

157M
Verified users
+43%
Higher AOV
5.4×
ROI in one quarter
$150M+
Annual revenue

ID.me proved the thesis: verify once, create a portable credential, monetize the trust layer by charging brands for access. Verified users spend 43% more and deliver 5.4× ROI because they're confirmed real humans, not probabilistic estimates. Marquee applies this same mechanic to creator audiences — a market that's 2× larger and currently has no verification infrastructure.

Comparison matrix
Feature comparison across 8 platforms
CapabilityMarqueeID.meClearClerkUNiDAYSSheerID
Consumer-facing
Portable credentials✗ walled✗ airports
User identity ledger✓ The Map
Evidence receipts
Creator communities
Progressive trust tiers✓ 3-tier
Brand deal marketplace
Gov-verified demographics⚠ student⚠ segment
Zero fraud guarantee
Developer SDK✓ 751 components
Community maturation
Identity infrastructure
QiD — The identity layer that makes Marquee possible

QiD lets you prove who you are once, see every organization that holds your data, control what they can do with it, and revoke access with a tap.

QiD is a privacy-preserving digital identity system designed for a world where identity is asked for constantly but controlled poorly. It is the infrastructure layer beneath Marquee — providing government-grade credential issuance, biometric verification, consent management, evidence receipts, and the Graduated Identity framework that makes verified audiences possible. Without QiD, Marquee is just another creator platform. With QiD, every fan has a credential that works everywhere, every data share is receipted, and every brand campaign targets confirmed real humans.

Five capabilities
What QiD does that nothing else can

The Tap — one-gesture biometric authorization

Every identity disclosure is authorized with a single biometric gesture — the same motion as unlocking your phone or approving Apple Pay. The fan sees a named request (who's asking, what they want, why), makes a decision, and taps. Consent + authorization + receipt in one gesture. No forms. No redirects. No "Accept All" dark patterns. The Tap collapses what used to be a 3-minute process into 2 seconds.

The Map — see everything, control everything

An interactive visualization of every organization that holds your data. What they hold, when you shared it, what purpose they stated, and what receipts exist. Next to each relationship: a "Revoke Access" button that works instantly. No other identity platform in the world shows users their complete identity footprint with real-time revocation power. The Map is the transparency dividend — the reason users trust QiD with their government ID.

The Receipt — cryptographic proof of every exchange

Every identity disclosure generates a signed evidence receipt: who requested, what was shared, for what purpose, under what legal basis, the credential status at time of presentation, and a timestamp. Immutable. Auditable. The receipt protects both sides — the user has proof of what they shared, the organization has proof of consent. For regulated industries, the receipt IS the compliance artifact.

Graduated Identity — three tiers, every context

One universal star system. ⭐ Recognized (email + phone + profile). ⭐⭐ Verified (government ID + liveness — the portable credential threshold). ⭐⭐⭐ Proven (earned through sustained activity). The same star means the same thing at a fan club and a bank. The credential doesn't change — the context determines what it unlocks. Community maturation metrics aggregate trust across populations, showing brands how deeply verified a creator's audience is.

Portable Credentials — verify once, use everywhere

A QiD credential works at every organization in the trust network. Verify for Chelsea FC → use it at Barclays. Verify for DJ Vlad → use it at another creator's fan club. Verify for any creator → use it at any bank, marketplace, or service that accepts QiD. The average adult verifies their identity 10-15 times per year across different services. QiD turns that into one verification and unlimited taps. The ROI on 2 minutes of ID scanning is measured in hours of future friction eliminated.

Research frontier
Passkeys as continuous liveness — replacing friction with love

QiD is exploring how passkeys (FIDO2/WebAuthn) can replace traditional periodic liveness checks, turning a high-friction security requirement into a daily moment of user satisfaction.

The insight: every passkey login is a liveness check

Traditional identity platforms verify liveness periodically — every 90 days, every year, or when a suspicious event triggers re-verification. These checks are friction: "Please scan your ID again." Users hate them. Compliance teams require them.

Passkeys change this fundamentally. When userVerification is set to required, every passkey authentication demands a biometric gesture — Face ID, Touch ID, fingerprint. The device confirms: "a live human matching the stored biometric is physically present right now."

The chain of trust works like this: government ID proofing (done once at ⭐⭐ Verified enrollment) binds a legal identity to a person. Passkey registration binds that person to a device biometric. Every subsequent passkey authentication confirms the biometrically-bound person is present. Therefore, every login is an implicit liveness re-verification of the identity-proofed individual.

Traditional liveness model

Periodic · High friction · User resents it

Liveness verified every 90 days. Between checks, the platform has no signal that the credential holder is still present and active. Re-verification feels punitive — "prove you're still you." Users delay or abandon. Credential freshness data is sparse and stale.

Passkey liveness model

Continuous · Zero friction · User loves it

Liveness verified at every login — potentially daily or multiple times per day. The platform receives a continuous stream of "this person is alive and present" signals. The biometric tap feels like unlocking a phone, not completing a compliance form. Credential freshness data is rich and current. Community maturation metrics are fed by real-time liveness signals, not periodic re-checks.

What this means for Marquee

A creator's community maturation dashboard shows "94% of fans re-verified within 90 days." With passkey-based continuous liveness, that metric becomes: "94% of fans confirmed present within the last 7 days." The data quality difference is enormous. Brands aren't targeting people who verified their identity 89 days ago and may have churned — they're targeting people who were biometrically confirmed present THIS WEEK.

The UX benefit compounds the data benefit. Fans don't experience liveness re-verification as friction because there is no separate re-verification step. Logging in IS the liveness check. The security requirement becomes invisible — embedded in an action the user already wants to take. This is the Passkey-for-user-LOVE philosophy: turn a compliance cost into an emotional benefit.

Technical nuance

A passkey proves "same person as device owner" — not "this person matches a specific government ID." The initial identity proofing at ⭐⭐ enrollment (government ID + selfie match) remains essential to bind the legal identity. After that binding, the passkey provides the continuous liveness signal. Additionally, synced passkeys (iCloud Keychain, Google Password Manager) inherit the security of the cloud account they live in. Device-bound passkeys offer higher assurance but less convenience. For Marquee's consumer use case, either is acceptable because the initial identity proofing is the high-assurance step and the passkey is the ongoing confirmation layer.

Competitive moat
Why QiD can't be replicated by adding a feature

Competitors could add any one of QiD's capabilities. What they can't replicate is the combination — and the combination is the product.

vs. ID.me

ID.me verifies communities (military, students) and connects them to brand discounts. But it's a walled garden — credentials only work within ID.me's network. No user-facing ledger. No selective disclosure. No creator-mediated communities. No evidence receipts. QiD is open infrastructure with user transparency.

vs. Clear

Clear is biometric identity for physical access — airports, stadiums. No digital credential portability. No consumer data ledger. No fan/audience layer. No consent management. Clear doesn't give users visibility or control over their identity data.

vs. Okta / Auth0

Enterprise SSO and developer auth. No consumer surface, no verified credentials, no fan layer, no evidence receipts. Auth0's developer experience has degraded post-acquisition. QiD competes at the developer level (751-component library) and extends into territory Okta has never entered.

vs. Clerk

Best developer DX in market. But Clerk is authentication, not identity. No verified credentials, no audience proof, no evidence receipts, no selective disclosure. QiD matches Clerk's DX ambition (component library) and adds an entire capability layer Clerk doesn't have.

Component library
What exists today — built and ready

751 React components across 18 packages. This is not a design system or a prototype — it is a near-complete application in component form. The three Marquee portals can be assembled from these existing parts.

Fan portal surfaces

From cameo_v2 · 317 components
FanHome — personalized feed with creator discovery
FanTalentProfile — creator profile with blurred exclusive previews
FanMyIdentity — identity dashboard with AssuranceLevelHeader + VerificationChecklist
FanRewards — tier-gated rewards and exclusive content access
FanMessages — messaging between fans and creators
FanOrders — purchase and transaction history
FanAccount — profile settings and data management
FanNotifications — alerts for new content, presale, and brand offers
FanCategory + FanFilters — browse and discover creators by category
FanShell — app shell with navigation and layout
FanLiked — saved and liked content collection

Creator portal surfaces

From cameo_v2 · Talent package
TalentDashboard — home with ProofRail, EarningsCard, GrowthCard, GraduatedIdentityCard
TalentProfile — public-facing creator profile
TalentOnboarding — 5-step flow: Welcome → Photo → Category → Price → Verify → Complete
TalentWallet — revenue tracking and payouts
TalentMyRewards — CardStudio + CardProgramPanel for Rewards Card design
TalentShareSheet — social sharing tools for credentialization campaigns
TalentTikTokFlow — TikTok integration and cross-posting guide
TalentShell — app shell with creator navigation

Brand portal & deal room

From cameo v1 + v2 · 78+ components
BusinessFilters — search creators by verified audience demographics
BriefIntakeCard — campaign brief submission form
CuratedShortlist — matched creator recommendations
CampaignFitCard — audience match scoring per creator
OpenCallBrandCard — post open briefs for creators to pitch
DealRoom — TermChips, ReceiptStack, CompleteBanner for deal negotiation
BrandKybCard — business identity verification flow
PaidCampaignsCard — active campaign monitoring
CampaignReportCard — verified delivery measurement results
DeepDossier — full creator profile with engagement deep-dive

BentPixels creator intelligence

bent-pixels-sdk · 22 components
AuthenticityCard — engagement pattern analysis, organic vs. artificial
SafetyCard — content safety assessment across dimensions
DemographicBars — verified audience age/gender distribution
GenderDonut — audience gender composition chart
SocialAccountsTable — linked social accounts with metrics
ScoreRing — circular score visualization
StarBreakdown — rating distribution chart
BandPill + VerdictPill — quick status indicators
BentPixelsDossier + BentPixelsEvidence — full evidence panel

QiD core SDK

qid-web-components · SDK package
GrantsPage — The Tap: consent authorization with biometric gesture
TrustBadge — star tier display (⭐ / ⭐⭐ / ⭐⭐⭐)
VerifiedCheck — verified identity checkmark badge
AssuranceLevelHeader — current tier with progress to next
VerificationChecklist — steps needed to reach next tier
DataShardCard — per-credential management in identity ledger
HandOffSplash — transition screen between verification steps
WorkflowProgress — multi-step process tracking

Rewards & wallet

Rewards package + BrandFlo SDK
RewardsMemberCard — branded fan membership card
RewardsCardTile — card display in fan dashboard
AddToAppleWalletButton — one-tap wallet integration
QCardFace — customizable card front design
CardStudio — creator-facing card design tool
RewardsToast — notification when rewards unlock
BrandFloMatchEvidence — audience match scoring detail
MatchScorePills — relevance, safety, alignment at a glance

This architecture is built on assumptions

The team must review each assumption below and certify through their own judgment and experience that the plan is achievable in reality — not delusional or built on false premises. Where an assumption is wrong, the dependent sections of this document must be revised.

Customer assumptions

  • Creators will put genuinely premium content behind the Verified gate — not repurposed public content
  • Fans will scan their government ID for a fan club if the exclusive content is compelling enough
  • The portable credential value ("verify once, use everywhere") is motivating enough to justify the friction
  • Brands will pay 2-3× premium CPM for verified audience targeting
  • The 43% AOV uplift and 5.4× ROI demonstrated by ID.me will transfer to the creator economy context
  • Mid-tier creators (100K-1M followers) are the highest-leverage persona for initial adoption

Product assumptions

  • Government ID verification can be completed in under 3 minutes with >80% success rate on mobile
  • Jake's 751-component library is production-ready enough to build the MVP without a full rebuild
  • Supabase can handle real-time maturation calculations at 100K+ verified fans
  • The 3-tier Graduated Identity system is the right simplification for consumer use
  • Fans will accept that the same credential used for a fan club also works at a bank

Go-to-market assumptions

  • BentPixels can identify creator clusters with 30%+ mutual audience overlap using existing data
  • 5 overlapping creators can be onboarded simultaneously in 2 weeks
  • Coordinated launch will generate 10K-20K fan verifications in 30 days
  • BentPixels' existing brand relationships will produce 2-3 brand deals within 90 days
  • The Creator Cluster model is replicable — Cluster #2 works as well as Cluster #1
  • Chelsea FC integration can proceed in parallel without blocking the creator cluster launch

Financial assumptions

  • 12% platform take rate is acceptable to creators (vs. Patreon's 5-12%)
  • Brands will pay $500-$10K/month for audience access subscriptions
  • Revenue per verified fan of $2-$5/year is achievable (1.5-2× ID.me's $1.88)
  • Year 1 revenue of $1M-$3.5M is achievable with 25 creators and 100K verified fans

Competitive assumptions

  • Clerk will not add verified credentials to their component library within 12 months
  • ID.me will not pivot to creator-mediated communities within 12 months
  • Patreon will not add government ID verification within 12 months
  • The 37.2% fake follower rate and $4.8B fraud waste will persist or worsen

Structural assumptions

  • QiD governance structure is sufficient for initial launch — no additional governance needed in Phase 1
  • UCC Article 12 legal enforceability for NIL protection is valid in relevant jurisdictions
  • Privacy regulations (GDPR, CCPA) do not prohibit the consent-gated, receipted data sharing model
  • The portable credential will be accepted by at least one financial institution within 12 months