Mmnt — Investor Portal

The Opportunity

The Fan Identity Graph

mmnt is building cross-artist identity resolution and intelligence infrastructure for the music economy. Think Segment for fan data, not Salesforce for artist CRM. Every artist today operates in a data silo — mmnt connects the signals into a unified fan identity across the entire ecosystem.

The Credit Bureau Model

"Spotify knows what people stream. Ticketmaster knows what they buy. Instagram knows what they follow. Nobody connects these signals into a unified fan identity. mmnt does — using a credit bureau model where artists opt into receiving intelligence, not sharing data."

The Problem

Every artist operates in a data silo — no cross-artist identity graph exists No platform connects fan identity signals across the ecosystem. Spotify, YouTube, Ticketmaster each hold fragments while artists are left blind. The industry allocates $40B+ in live event revenue using essentially zero fan intelligence.
Labels make million-dollar tour routing decisions based on Spotify streams — a single, unreliable signal One-dimensional data leads to poor decisions on where to send artists, how to market tours, which fans to target. The broader fan economy exceeds $140B but operates on intuition, not data.
Goldman Sachs identified a $4.5B superfan segment spending aggressively — no platform purpose-built to serve them Superfans are 15% of the population but spend 80% more monthly and are 128% more likely to buy physical merchandise. This high-value segment has no dedicated infrastructure.

Why Live Events Are the Entry Point

Live events are the one unfakeable signal in an AI-saturated world — deterministic identity at scale A concert ticket is verified proof of fandom. You can't fake being at a venue. This contrasts with social media (bots, fake followers) and streaming (payola, artificial plays). Live events provide deterministic names, emails, and purchase behavior that anchor the entire identity graph.
$40B+ in annual live revenue represents the largest untapped fan engagement surface Live events concentrate the highest-intent, highest-spending fans in one place. This is where artist revenue and headroom opportunities are greatest — and exactly where we need to collect identity signals to power the graph.
Every ticket creates a node — multiple tickets reveal a superfan One ticket = identity proof. Cross-artist attendance = fan graph. Email + name from tickets can be matched to Spotify/Apple IDs via first-party opt-in. Now: streaming taste + spending behavior + loyalty = complete fan profile.

Market Validation & Proof Points

First-gen companies already acquired — Patreon/Moment House, Sony/Songwhip, Universal/Stationhead The market is validated. But all of them were application-layer tools. Nobody built the infrastructure layer underneath. That's the difference: mmnt isn't another fan app. It's the data layer every fan app will eventually need.
Spotify and YouTube are contractually bound to serve labels — they'll never build a mmnt The major platforms control artist data but can't empower artists directly. Founder built at both companies and knows exactly why they can't build this. An independent graph that serves all artists is a fundamentally different business.
Identity infrastructure is venture-scale — LiveRamp sold for $5B, Segment acquired for $3.2B mmnt is building the missing infrastructure layer for the music economy. The identity graph category has proven exits and proven value. The music economy is the last major vertical without one.

The Moat

Identity graphs have 10x+ the defensibility of SaaS tools The value is in the connections, not the features. Once the graph exists, it becomes nearly impossible to displace. Every artist who joins makes the graph more valuable for every other artist — the intelligence compounds exponentially.
Credit bureau model creates trust without friction Artists opt into receiving intelligence, not sharing data. No PII crosses artist boundaries — only aggregated, anonymized statistical intelligence flows back. Privacy by design means no consent friction at scale.
Independence is the moat — the graph collapses if any single party owns it If Spotify or UMG owns it, competitors stop contributing. If Live Nation owns it, indie venues stop trusting it. Bloomberg couldn't be acquired by a single bank for this reason. Same structure here. Neutrality IS the moat.

Why Now

AI content flood makes verified human fandom the scarcest signal 60,000 AI tracks uploaded daily. Streaming identity is collapsing. The live event — where real humans show up — becomes the trust anchor that makes everything downstream credible.
Ticketmaster antitrust breakup is opening live event data The DOJ case is forcing APIs open. Ticketmaster's data becomes our source, not our competitor. The infrastructure layer they won't build is exactly what mmnt is building.
Artist-fan relationships are going direct — labels are losing control Independent artist revenue hit $5.1B. Artists are building direct relationships through social, streaming, and live. Direct data access becomes critical. $20.4B in institutional capital is flowing into music rights.

What

Fan Identity
Graph

Model

Credit
Bureau

Raising

$2M

Moat

10x+ vs
SaaS

Market Sizing

The Fan Identity Graph Market

Think Segment for fan data, not Salesforce for artist CRM. The live music industry drives $40B+ annually and the broader fan economy exceeds $140B — yet there is zero infrastructure connecting fan identity signals across artists. mmnt is capturing the $4.2B+ serviceable addressable market for cross-artist identity resolution and intelligence.

TAM · SAM · SOM

$140B+

TAM

Global Fan Economy (Live + Merch + Streaming + Superfan)

→

$4.2B

SAM

Fan Intelligence, Tour Optimization, Artist Analytics

→

$8-12M

SOM Yr 3

Reachable by Year 3 ARR

Key Statistics

4.2B global live event attendance annually
$40B+ live music industry annually
18% CAGR for live events tech through 2030
$140B+ broader fan economy (live + merch + streaming + superfan)
$4.5B superfan segment identified by Goldman Sachs — no platform purpose-built to serve them
$0 captured in cross-artist fan intelligence today

Competitive Landscape

Player	What They Do	What They Don't Do
Spotify for Artists	Stream analytics	No identity resolution, no cross-artist intelligence
Bandsintown	Tour discovery	No fan-level intelligence, no data infrastructure
Openstage	Fan CRM for artists	CRM-first not graph-first, no cross-artist identity, no enterprise layer
Ticketmaster / Live Nation	Ticketing, venue data	Walled garden, no artist-facing intelligence tools
Chartmetric	Aggregated analytics	No deterministic identity, no fan-level data

Strategic Insight

"Every competitor is building tools. mmnt is building infrastructure. The difference is the same as Salesforce vs. Segment — one gives you a dashboard, the other gives you the underlying data layer that powers everything."

Defensibility

Deterministic Identity Live events provide verified identity (payment, location, behavior) that streaming platforms can never match. This is data that Spotify can't access.
Network Effects Every artist that joins makes the graph more valuable for every other artist — the intelligence compounds exponentially as we scale.
Credit Bureau Model Artists opt into receiving intelligence, not sharing data. Individual fan data never crosses boundaries; only aggregated statistical intelligence is shared.

The MVP

Live Fan Engagement as Identity Resolution

The simplest version of mmnt that proves the core loop: fans engage with live artist moments, and in doing so, generate the first signals of what becomes the Fan Identity Graph.

V1 Fan Experience — Live Drop Flow

🟢

Live Demo

Interactive Prototype

See the live drop flow in action

↗ View Demo

Core User Loop

Step 01

Connect

Fan connects Spotify/Instagram, enters a live artist moment on mmnt. One tap activates the Presence Ring.

Step 02

Engage

During the live moment, fans react in real-time (vibe meter, peak moments, reactions). Every interaction = a data point.

Step 03

Claim Your Moment

A verified, timestamped artifact of attendance is issued. It includes artist, time, location, vibe data, and peak moment capture.

Step 04

Build Your Collection

Moments accumulate into a fan profile — a living record of taste, loyalty, and behavior across artists.

MVP Feature Set

Presence Ring + live engagement Tap-to-activate Presence Ring, real-time synchronization during live moments
Spotify/Instagram identity connection One-tap auth for cross-platform identity resolution
Real-time vibe meter and reactions Live sentiment capture during moments
Peak moment capture + artifact generation Verified moment artifacts that fans own
Fan collection/profile Accumulated moments become a fan identity
Artist dashboard with fan intelligence view Artists see aggregated fan behavior and engagement patterns

MVP Success Metrics

Founding Artists

Beta Users

500

30-Day Retention

40%+

Share Rate

25%

NPS

> 50

Key Insight

"What looks like a fan engagement app is actually an identity resolution engine. Every Spotify connect, every event check-in, every reaction builds the graph."

The Path to Enterprise

Cross-Artist Intelligence Infrastructure

A two-sided marketplace from day one. Fan-generated revenue (transactions, subscriptions, tipping, digital goods) provides early cash flow while the graph scales. Enterprise intelligence products unlock premium revenue as the network compounds. $110K → $10.6M ARR.

Year 1

Foundation — Prove the Core Loop (2026)

Launch with 10 founding artists (Music partnership pipeline)
500 beta users, issue first 50K verified fan interactions
Build fan identity graph v1 with Spotify + Instagram + live event signals
Fan marketplace live: merch drops, tipping, digital goods — early transaction revenue from day one
Fan subscriptions ($4.99-9.99/mo) for enhanced identity features and priority access

Year 2

Scale — Cross-Artist Intelligence (2027)

50+ artists on platform, 100K+ fans in the graph
Launch Artist Discovery Intelligence: "Fans of Artist A who have never heard of Artist B but match the profile"
Launch Tour Optimization Intelligence: Which cities have the highest-density fan clusters for a given artist
First enterprise pilot: Label using mmnt intelligence for roster decisions
Seed round: $3-5M

Year 3

Enterprise — Full Intelligence Infrastructure (2028)

500+ artists, 1M+ fans in the graph
Fan-generated revenue at scale: transactions, subscriptions, tipping, digital goods → $2.9M from fan side alone
Launch full enterprise API — labels, promoters, and brands can query the Fan Intelligence Graph
Brand Matching marketplace + Roster Intelligence Dashboard for labels
Revenue mix shifts toward enterprise as graph density compounds — $10.6M total ARR
Series A: $15-25M

Revenue Model — Two-Sided Marketplace

Fan-Generated Revenue

Stream	Model	Year 1	Year 2	Year 3
Fan Transactions (merch, exclusives, direct-to-fan)	15-20% platform fee	$30K	$250K	$1.2M
Fan Subscriptions (enhanced identity, priority access)	$4.99-9.99/mo	$15K	$180K	$800K
Artist Tipping (fan → artist direct support)	85/15 split	$10K	$120K	$500K
Digital Goods & Collectibles	75/25 split	$5K	$100K	$400K

Artist & Enterprise Revenue

Stream	Model	Year 1	Year 2	Year 3
Artist SaaS (free → $200-500/mo)	Monthly recurring	$50K	$300K	$1.2M
Enterprise Intelligence (labels, agencies)	$50-200K/yr	$0	$350K	$4M
Brand Matching Marketplace	10-15% of deals	$0	$50K	$1.5M
Institutional Data Products	$500K-1M/yr	$0	$0	$1M

Total ARR		$110K	$1.35M	$10.6M
Fan-generated % of total		55%	48%	27%

The Credit Bureau Model

"Why would artists share data? They don't. mmnt works like a credit bureau: artists opt into receiving intelligence, not sharing data. Individual fan data never crosses artist boundaries. Only aggregated statistical intelligence is shared. Artist A never sees Artist B's fans — but they can see 'fans in Brooklyn aged 25-34 who attend R&B shows 3+ times per year and match your listener profile.'"

Key Milestones — Months 1-18

M1-3

MVP live, 10 founding artists, Distribution pilot signed

M4-6

50 artists, fan graph v1, first intelligence reports

M7-9

100 artists, cross-artist intelligence alpha, enterprise alpha

M10-12

Seed raise $3-5M, 500+ artists

M13-15

Enterprise products live, brand marketplace alpha

M16-18

Series A pipeline, $8-12M ARR run rate

The Bigger Picture

Fan Intelligence Layer for the Creator Economy

Three eras: Capture. Expand. Standard. By 2031, mmnt becomes the identity and intelligence infrastructure powering the entire live events and creator ecosystem.

Era 01

Capture (2026-2028) — Own the Music Vertical

Prove the core loop in music. Build the fan identity graph. 10M+ fan interactions captured. Fan intelligence infrastructure established in music vertical.

Era 02

Expand (2028-2031) — Multi-Vertical Network

Expand beyond music: comedy, podcasting, gaming, sports. The identity graph becomes cross-vertical. Enterprise API powers the live events ecosystem. 100M+ fan profiles. $500M+ ARR.

Era 03

Standard (2031-2036) — IPO-Ready Infrastructure

mmnt becomes the standard identity and intelligence layer for the creator economy. Every ticket sale, every stream, every follow enriches the graph. Fan-backed financial products. Cultural intelligence index. IPO-ready: $15B+ company.

Financial Trajectory

Year	Artists	Fans in Graph	ARR	Milestone
2026	50	25K	$70K	Prove core loop
2027	200	250K	$850K	Cross-artist intelligence
2028	500+	1M+	$10M	Enterprise API
2029	2,000	5M	$50M	Multi-vertical
2031	10,000	25M	$200M	Standard protocol
2036	50,000+	100M+	$1B+	IPO-ready

The Broader Vision

Every artist, venue, label, and brand operates on mmnt intelligence
Fan identity becomes as standard as credit scores in financial services
The most valuable data asset in the creator economy
mmnt replaces gut-feel decisions with deterministic fan intelligence across the entire live events and creator ecosystem

The Investment

$2M

Pre-Seed SAFE

Post-money cap: $15M | 36 months runway at $55K/month burn

Use of Funds

35%

Engineering
(Full-stack + Data)

25%

Go-to-Market &
Artist Acquisition

20%

Team &
Operations

10%

Data Infrastructure
& Cloud

10%

Legal &
Licensing

What We're Building With This Round

MVP with live fan engagement + identity graph foundation
10 founding artist partnerships
Fan Identity Graph v1 with cross-platform signal resolution
Enterprise data product proof-of-concept
Path to $3-5M Seed by Month 10-12

Seed Setup

Target Seed Close

M10-12

Go into Seed with: 50+ artists, 100K+ fans in graph, first enterprise pilot revenue, cross-artist intelligence working, artist partnerships validated

Why Invest Now

First mover in fan identity infrastructure No one else is building this. Spotify, YouTube, and all incumbents are contractually bound to serve labels, not artists. mmnt is positioned to own artist-facing identity.
First-gen companies already acquired — Patreon/Moment House, Sony/Songwhip, Universal/Stationhead The market is validated. But no one built the AI infrastructure layer underneath. mmnt has a distribution advantage through a global distributor supporting 1M+ artists.
$2M gets to revenue and enterprise validation before Seed By Seed, we'll have paying artists, enterprise pilots, and product-market fit signals.
Identity graphs have 10x+ the defensibility of SaaS tools Network effects compound. The graph becomes the moat. This is a 10-year business.

Key Risks & Mitigations

Risk	Mitigation
Artist adoption	Existing Label and Distributor partnerships provides warm pipeline. Free tier removes friction. Intelligence value prop is clear.
Data privacy / compliance	Credit bureau model: no PII crosses artist boundaries. Aggregated intelligence only. SOC 2 from month 6.
Competition from incumbents	Spotify/YouTube contractually bound to serve labels not artists. Openstage is CRM-first not graph-first. No one has cross-artist identity.
Revenue timeline	Fan-generated revenue (transactions, subscriptions, tipping) provides cash flow from day one while the graph scales. Artist SaaS adds recurring revenue. Enterprise products unlock premium value at density. Two-sided model reduces concentration risk.

Hiring Plan

Hire 1 · Month 1: Data Engineer Owns identity resolution pipeline, fan graph architecture, signal processing. $160-180K + equity.
Hire 2 · Month 1: Senior Full-Stack Engineer Owns live engagement layer, real-time infrastructure. $150-175K + equity.
Hire 3 · Month 4: Full-Stack / Mobile Engineer Owns fan-facing app, artist dashboard. $140-160K + equity.
Hire 4 · Month 6: Product Designer Owns UX across fan experience and enterprise dashboard. $130-150K + equity.

My Ideal Investor

1

Understands data infrastructure businesses You've seen how Segment, Twilio, or Stripe built defensible moats. You know that infrastructure plays compound over time.
2

Has music/entertainment industry connections You can help open doors at labels, publishers, venues, and promoters. You believe the music industry is ripe for data innovation.
3

Believes in long-term moat-building over quick flips You want to build a 10-year company with network effects and compounding defensibility, not a quick exit.
4

Can help with enterprise introductions Your network in media, tech, or entertainment is valuable. You'll make 3-5 warm intros that accelerate product-market fit.

The Founder

Every mmnt Challenge Maps to Direct Experience

Tesaen has spent 13+ years building 0-1 platforms across YouTube, Google, Spotify, and Uber — driving $4B+ in revenue, $1B+ in media optimized, and 50x latency improvements. She's built AI recommendation systems, real-time marketplace infrastructure, and monetization engines at the biggest tech companies in the world, and knows from working inside YouTube and Spotify exactly why they'll never build a mmnt.

Career Thesis

YouTube/Google: Product Lead, Music Promotion & Gen AI Video · 2022-Present Built real-time music infrastructure. 50x latency reduction. $400M+ ARR. → Directly maps to real-time fan engagement infrastructure
Google Ads: Product Manager, Search Ads · 2020-2022 $4B+ annual revenue. → Directly maps to enterprise data product monetization
Spotify: Senior Product Lead, Audiences & Ads · 2019-2020 Built audience targeting and Spotify's native ID graph. $50M+/yr. → THIS IS THE MOST RELEVANT EXPERIENCE: Fan Identity Graph architecture
Uber: Global DMP Product Lead · 2017-2018 Built Uber's global DMP. $1B+ media optimized. → Directly maps to cross-platform identity resolution at scale

Founder-Market Fit

mmnt Challenge	Founder Experience
Fan identity resolution	Built Spotify's ID graph & Uber's global DMP
Real-time engagement	Built YouTube's live music infrastructure
Enterprise data products	Shipped $4B+ revenue programs at Google
Music industry relationships	4 years at YouTube Music, direct Music Label CEO/ CPO relationships
Scaling 0→1	Every role was 0-to-1 platform building