The Win-Win
Consumer Data Economy
People
We get them paid as much as possible for their consent.
Brands
Verified, consented audiences and live market intelligence — built on trust, not guesswork.
12-Month Projections — $2M Pre-Seed
Click any number in the projection tables to see its formula and source.
The Moment
The data economy
needs better infrastructure.
Four forces converged. All at once. Right now.
Regulatory Shift
80–90%
The old pipelines are gone.
iOS ATT opt-out rate. IDFA dead. Third-party cookies dead. Non-consensual data collection is structurally over — not trending over. Over.
Adjust ATT Opt-In Rates 2025
Brand Signal Loss
$10B / yr
Brands are flying blind.
Meta's disclosed annual revenue impact from signal loss alone. Digital ad waste grew 34% in two years — $20B to $26.8B. The spend stays. The signal doesn't.
Meta earnings · ANA Programmatic Benchmark 2025
Consumer Shift
99.6%
People will share — for a fair deal.
Of consumers say they'd share personal data in exchange for relevant incentives. They're not anti-data. They're anti-exploitation. The infrastructure to reward them didn't exist.
Attentive Personalization Study, 2024
Competitive Moat
$111B
Incumbents cannot rebuild trust.
North American consumer data market — built on the extractive model that's collapsing. No incumbent can architecturally rebuild trust. Their entire stack is the problem.
MarketsandMarkets · eMarketer 2026
A once-per-decade alignment of policy, culture, and market demand.
Whoever earns user trust first owns the rails for the next decade.
User Growth Strategy
The first tech companythat gives morethan it takes
01 — User Value Prop
Nearly free money,
minimal friction,
maximum payout
One-time 30-second onboarding.
Model updates live — zero lift.
Users earn by accepting push notifications.
Our goal is to get people paid
as much as possible, as safely as possible.
02 — Distribution Strategy
A new era of
mass consumer trust
Tech has a trust problem. @theantitechbro is the answer.
Gen Z is drawn to movements for social good — data ownership is the next one.
Warmed account. Existing content. The raise scales the engine.
- Scale the content operation — production, cadence, volume.
- Scale the audience — organic reach compounds into waitlist and downloads. Zero paid acquisition.
- Scale the moat — trust built in public is the only distribution that can’t be replicated.
Marketplace Architecture
The cold start problem.
Engineered out.
Users
Supply
- Founder-led content builds a trust-primed audience. Zero paid acquisition.
- Direct earnings for verified consent. 30 seconds to onboard. Accept or decline each offer with one tap.
- Supply scales independently — users join for the earnings, not the brand roster.
Brands
Demand
- Automated outreach delivers qualified brands at scale.
- Day 1 ROI — subscription paid at sign-up exceeds total acquisition cost at every tier.
- The live intelligence is a product of active AO deployment, not a static database.Cancel, and the signal disappears with you.
The connecting mechanism — An Audience Order (AO) is a floor-priced offer sent to matched users.
They accept or decline.
01
Brand searches
verified behavioral profiles
→
02
AO deployed
floor-priced offer sent to match
→
03
Users respond
accept or decline · 24hr window
→
04
Audience delivered
verified · consented · 30-day access
Liquidity
Declined offers auto-deploy to the next qualified user.
Fill rate: structurally 100%.
Brand Growth Strategy
Ad targeting has always been guesswork.We built the infrastructure that delivers the answer —and the moat that protects it.
01 — Platform Mechanism
Search. Deploy.
Target.
Find verified audiences in your target market and request their consent directly.
Audience Orders (AOs)
Offers are sent to matched users at a set floor per-user price.
Users receive 100% of the payout.
Our fee is charged on top.
- Deploy an AO — users accept or decline within 24 hours
- Query the ChatGPT of your live target market
- Export to ad platforms. Target with unparalleled precision.
Consent-first architecture — CCPA/CPRA compliant by design.
02 — The Market
The Brands With the Most to Gain
Become the Proof That Unlocks the Rest
Phase One — 154K US brands.
Entry cohort proves the model. Performance data unlocks the rest of the market.
Mid-Market DTC Brands
$5K – $100K / mo on Meta
Highest ad waste sensitivity — most motivated to switch
High ROAS sensitivity, no in-house identity resolution stack
Early-adopter influence that sets category norms
154K
US brands spending $100K+/yr on Meta
Source: Meta Q4 2025 earnings
Entry cohort ROAS proof unlocks full Phase One via Ch3 (Mo 3+)
All performance advertisers in scope — not only DTC
Expansion beyond Meta: Year 2+
03 — Compounding ROI
Immediate return.
Then it compounds.
Meta ad spend
$30K/mo
$30K/mo
Targeting & data stack
Audience intelligence tools
$1K–$5K/mo
CDP + attribution + third-party audience data
Industry avg, mid-market DTC
Consolidated
Included in myModel subscription
Audience quality
What your spend actually reaches
Probabilistic
30% reaches wrong audience
(NC State / CSCW 2022)
Verified & deterministic
Confirmed identity. Explicit consent. 100% ICP-matched.
Audience readiness
Before the first impression
Cold
No consent. No prior relationship.
Pre-warmed
Matched, consented, and paid — brands enter with built-in favorability. Users already associate them with transparency and respect.
Long-term value
Beyond Month 1
None
No data moat. No trust channel.
Compounding
Intelligence moat + trust channel locked in.
Targeting impact
Wasted spend
~$9K/mo
30% of $30K Meta budget reaches wrong audience · NC State / CSCW 2022
ROAS lift on cold traffic
20–40%
$6K–$12K additional value from same budget · ZigPoll / WordStream
04 — Growth Engine
Unprecedented Efficiency
Agents matching users to brands at scale
Automated email outbound matches verified users to qualified brands —
three channels find them, one flywheel compounds them.
Business Model
Low barrier to entry.
Immediate ROI.
A closed system built forlongevity and scale.
|
Basic |
Premium |
Enterprise |
| Monthly fee |
$199/mo
→ $499/mo Q1 2027
|
$999/mo
|
$1,999/mo
|
| Audience Orders |
1 |
Up to 5 (avg 3) |
Unlimited (ramp 5–12+) |
| Floor per user |
$5.00 100% to user |
$3.50 |
$3.00 |
| Transaction fee |
12% on top |
10% |
8% |
| Users per AO (avg est.) |
~500 |
~1,000 |
~1,000+ |
Take Rate
Declines as brands scale — 12% → 8%. Brands that grow pay less. Built for retention, not extraction.
Unit Economics
What each brand is worth.
By the numbers.
Customer Acquisition Cost
$35
per brand · base case
~$130K Y1 acquisition cost
(email infra + 15% marketing) ÷ Y1 brands acquired
Day 1 payback in every scenario — first invoice ($199+) exceeds CAC at every tier.
Payback Period
Day 1
Brands pay at sign-up — subscription exceeds CAC at every tier, immediately
Basic
$199 > $35
Premium
$999 > $35
Enterprise
$1,999 > $35
Revenue Model
Memberships
~99%
Gross margin. SaaS-like — no delivery cost.
Transaction Fees
10–12%
Take rate on GMV. Fee is additive — brands pay it on top of user payout.
Lifetime Value
Steady-state revenue ÷ 1.2% monthly churn → 83-month avg lifetime. Based on Mo 12 brand ARPU — brands joining post-ramp period.
Basic
$93,000
$1,120/mo × 83mo
Premium
$263,000
$3,173/mo × 83mo
Enterprise
$661,000
$7,961/mo × 83mo
LTV:CAC Ratio
Premium tier · base case
7,514:1
$263,000 LTV ÷ $35 CAC. Brands pay for themselves before their first AO completes — then stay an average of 83 months.
This is why brand churn stays at 1.2% — ROI is demonstrable from Month 1, and each tier creates independent lock-in through the intelligence moat and trust channel.
12-Month Projections
Capital is the activation event.
This is what it produces.
Budget & Runway
$2M raise → 12+ months of operations
Runway:
12+
months
| Month | Phase | Personnel | Consultants |
Marketing | Infra | Legal | Other |
Total Spend | Revenue | Net Burn | Cash Left |
The Raise
One founder built this.
Here's what $2M turns it into.
The infrastructure is built. The pilot is next.
Here's what $2M sets in motion.
What one person built without it
✓
Product architecture
Designed and in active development. Technical architecture built for compliance and scale from day one.
✓
Brand outreach stack
Instantly + Inframail. Built, tested, and warmed. 50K/day capacity ready to deploy.
✓
Content accounts warmed
@theantitechbro audience primed. Production at scale requires capital to run consistently.
✓
Consent architecture mapped
CCPA/CPRA compliant by design. Legal framework in final review.
✓
Financial model
Pure formula chain. Every number sourced, every input documented, every scenario stress-tested.
✓
Pilot brand in setup
First brand relationship established. Structured to generate Mo 1 ROAS proof data.
What capital unlocks — in sequence
Phase 1
Build
Apr — May 2026
◆
CTO joins first. Technical leadership locked in before pilot.
◆
Core team assembled. Legal finalized. Brand outreach sequences loaded and ready.
◆
Content production funded and running. Waitlist growing ahead of pilot.
Milestone
Team in place. Product complete. Outreach ready to fire.
Phase 2
Pilot
Jun 2026
◆
Pilot brands live. First Audience Orders deployed. First user earnings paid.
◆
ROAS data collection begins. The proof that unlocks the full 154K brand ICP at launch.
◆
Product iterated in real conditions. Growth Lead pipeline building toward July launch.
Milestone
First ROAS case study in hand before public launch.
Phase 3
Launch
Jul 2026
◆
Full public launch. Email outreach at scale. Waitlist converts to live user base.
◆
Content flywheel running. ROAS proof published. Ch3 brand pipeline accelerates.
◆
Intelligence moat forming with every AO deployed. Signal that disappears the moment brands leave.
Milestone
Mo 1 begins. Every chart above starts here.
The projections are the output of this sequence executing.
The Return
$2M Pre-Seed Round
$10M pre-money • $12M post-money • 16.7% dilution
ARR multiples: 10x conservative, 15-20x current median, 25x premium. Source: PitchBook 2024.
What We're Looking For
The cap table is the machine.
Every seat covers a domain the others don’t.
The sum becomes greater than its parts.
Data infrastructure investors
AdTech, MarTech, or RetailTech investors
Impact or AI-for-good investors
Generalists with strong retail & DTC networks
Generalists with PR and new media access
Preference toward solo GPs. Operators who move fast, make introductions, and bring conviction — not committee decisions.
We have a few remaining spots open for advisors with domain expertise in any of the above areas.
Connect on LinkedIn →
The Team
Two builders.
One mission.
Founder & CEO
@theantitechbro
Worked with hundreds of brands across both sides of the data economy. Building the trust moat required for a consent-native exchange — through culture, content, and product, simultaneously. The raise scales an engine already in motion.
Users trust who is building this as much as what is being built.
Technical Co-Founder
Chris Madison
ex-Microsoft · Data Architect
Gen-Z engineer with Microsoft pedigree and a data architecture background built for this exact infrastructure challenge. The technical rigor to execute quickly, at scale, with compliance from day one.
Two Gen-Z ex-Microsoft builders.
The cultural legitimacy incumbents can't replicate.
First Hires Post-Raise
CTO
Technical leadership from day one.
Owns product architecture, data pipeline, and compliance infrastructure.
Hire #1 — joins before pilot.
Content Producer
Scales @theantitechbro and brand-facing content.
Video, social, and editorial across all channels.
Hire #2 — funded at close, ramps into pilot.
Growth Lead
Owns the brand acquisition pipeline.
Email outreach, channel partnerships, and inbound conversion.
Hire #3 — pipeline building toward launch.