Pre-Seed · Investor Overview

Solving Hayek's Knowledge Problem for Web3

Web3 has perfect transaction visibility but zero understanding of why users act. Scanna is building the verified consumer intelligence layer that shows causation, not just correlation.

$3.5B

Web3 marketing spend with no attribution

60-80%

Response rates vs. 15% industry standard

+99%

Sybil attack prevention rate

The $3.5 Billion Consumer Insight Black Hole

Web3 represents a $3.5 billion marketing economy operating completely blind to consumer intent. Unlike Web2 companies that leverage sophisticated analytics stacks—Google Analytics, Mixpanel, Amplitude, Qualtrics—crypto protocols make billion-dollar decisions based on three primitive data sources:

On-chain data

What users did

Twitter sentiment

What people say publicly

Discord chatter

What community discusses

None of these capture intent, motivation, or causation.

What Dune Analytics Can't Tell You

On-chain analytics platforms like Dune and Nansen excel at describing what happened. They track wallet addresses, transaction volumes, token transfers, and DEX trading patterns with precision.

But they cannot answer:

• Why did users sell that NFT? (Intent)
• What features should protocols build next? (Product direction)
• Why do users churn after 30 days? (Retention drivers)
• How do users discover new protocols? (Attribution)
• What prevents mainstream adoption? (Barriers)
• Which marketing campaigns actually work? (ROI)

This is not a technical limitation—it's a fundamental category gap.

On-chain data captures behavior. Consumer research captures motivation. The market needs both.

Why Traditional Survey Platforms Fail in Web3

The Sybil Attack Problem

Web3 applications distribute rewards to users—airdrops, incentives, governance tokens. This creates massive incentive for "Sybil attacks" where one person creates thousands of fake identities to farm rewards.

Traditional survey platforms are defenseless:

Traditional Defense Mechanisms

• Email verification → (infinite Gmail accounts)

• IP tracking → (VPNs bypass instantly)

• Device fingerprinting → (browser extensions defeat)

• CAPTCHAs → (AI solvers now defeat these)

Industry Reality:

30% of online survey responses are fake

Economic Impact

If protocols pay $2 per survey response and can't prevent Sybil attacks:

• Real cost per legitimate response: $20-50

• Traditional panel recruitment: $50-200

• DeFi airdrop fraud rate: 60-80%

Result:

Crypto surveys become economically unviable

The Scanna Breakthrough: Wallet-Gated Verification

Making Sybil Attacks Economically Impossible

Scanna requires users to connect crypto wallets with verified on-chain history. Each response is cryptographically authenticated and tied to a wallet with transaction history that cannot be faked.

Attacking Traditional Surveys

Cost: $0 (free email, free VPN)

Time: 2 minutes per fake response

Profit: $2 per response

ROI: Infinite ♾️

Attacking Scanna

Create wallet: Free

Age wallet 30 days: Cannot be rushed

Execute 5+ transactions: $0.00125 in fees + need SOL

Capital for 1000 wallets: $2,000+

ROI: Negative ❌

Multi-Layer Fraud Prevention

Layer 1: Device Fingerprinting

150+ parameters tracked, catches 60-70% of basic attacks

Layer 2: Wallet Analysis

Transaction graph analysis, wallet age, behavior patterns (80-90%)

Layer 3: Behavioral Biometrics

Mouse movement, typing cadence, scroll patterns (70-80%)

Layer 4: Progressive Trust

New wallets earn less, aged wallets with history earn full rewards

Layer 5: Social Graph Analysis

Detect coordinated creation patterns and Sybil rings (95%+)

Combined Effectiveness

99%+ Prevention

The Solana Advantage

Scanna is only possible on Solana. Traditional blockchains made micropayment-based surveys economically impossible:

Blockchain	Avg TX Cost	Survey Reward	Economics
Bitcoin	$15-50	$2 target	Lose $13-48 per response
Ethereum L1	$5-30	$2 target	Lose $3-28 per response
Polygon	$0.01-0.05	$2 target	Viable but slow (7K TPS)
Solana	$0.00025	$2 target	99.99% goes to user ✓

Unit Economics Transformation

Traditional Survey Panel

Respondent reward: $2

Panel recruitment: $30

Quality verification: $10

Payment processing: $5

Total: $47 per response

Scanna on Solana

Respondent reward: $2

Blockchain TX fee: $0.00025

Platform fee (20%): $0.40

Fraud prevention: $0.06

Total: $2.46 per response

95% Cost Reduction

While improving data quality through Sybil resistance

The Compounding Data Moat

First-mover advantage in data collection creates exponential defensibility over time. The company that captures verified consumer intent data first becomes impossible to displace.

Year 1

10,000 verified responses

Value:

Tactical insights for individual protocols

Competitive position: Interesting but replicable

Year 2

100,000 verified responses

Value:

Cross-protocol benchmarking — "Your churn rate is 2x industry average"

Competitive position: Significant but still catchable

Year 3

1,000,000 verified responses

Value:

Predictive models — "Users who answer X are 3x more likely to become whales"

Competitive position: Dominant market leader

Year 5

10,000,000+ verified responses

Value:

Consumer intelligence monopoly — "The Bloomberg Terminal of Web3 intent data"

Competitive position: IMPOSSIBLE TO REPLICATE (5-year data moat)

Why Competitors Can't Catch Up

Scenario: A well-funded competitor launches "Scanna clone" in Year 3

• Month 0: Competitor launches with zero data

• Month 6: Competitor has 5,000 responses → Scanna has 5,500,000

• Month 12: Competitor has 50,000 responses → Scanna has 8,000,000

• Month 24: Competitor has 500,000 responses → Scanna has 15,000,000

Customer Decision:

"Should I use Scanna (3 years of comparative data) or NewCo (1 year of data)?"

Answer: Scanna, every time.

The Four-Phase Market Evolution

Phase 1: Conference Feedback Wedge

Crypto conferences provide the perfect entry point: captive audiences, high-value attendees, and physical NFC badge verification that creates the highest trust level.

Target Events

TOKEN2049, Devcon, Breakpoint, regional conferences

Revenue Model

$10K-50K per event, organizer and sponsor-funded

Data Advantage

Conference attendees = highest-quality Web3 user panel

Network Effect

Attendees are also protocol founders/PMs who become customers

Phase 2: Protocol Research Platform

Protocols need to understand user churn, feature prioritization, and competitive positioning. Conference success creates warm intros to 50-100 protocols.

DEXs

Why users churn, feature requests, competitive intel

NFT Marketplaces

Creator vs collector needs, fee sensitivity, UX friction

DAOs

Governance participation, proposal quality, voter intent

Revenue Model:

$5K-20K per survey → $10K-30K annual subscriptions for ongoing research

Phase 3: Predictive Intelligence Platform

With 1M+ responses, machine learning models unlock predictive insights that transform from "what happened" to "what will happen."

Churn Prediction

"Users who answer X to question Y have 73% churn risk within 60 days"

Conversion Optimization

"Users who cite Z feature are 4x more likely to become power users"

Market Timing

"Sentiment score below 30 predicts sell-off within 7 days with 68% accuracy"

Revenue Model:

$50K-200K annually per enterprise customer (75-100 large protocols + VCs + trading desks)

Phase 4: Intent Data Marketplace

Anonymized, aggregated consumer intelligence becomes the most valuable dataset in Web3. Multiple buyer categories emerge:

Venture Capital Firms

Due diligence: "What do actual users think of this protocol we're evaluating?"

Trading Desks

Sentiment analysis for trading signals and position sizing

Competing Protocols

Competitive intelligence on rival products and market positioning

Academic Researchers

Web3 adoption studies, behavioral economics research

Revenue Model:

$100K-500K annually for full data access (100-500 organizations)

This is where Scanna becomes a $1B+ company

Pure data licensing with 90-95% margins

Path to Multi-Billion Dollar Outcome

The Qualtrics Comparison

In Web2, Qualtrics became an $8-12 billion company by solving "verified consumer feedback" for enterprises. Web3 doesn't have this infrastructure yet.

Metric	Qualtrics (Web2)	Scanna Opportunity (Web3)
Market maturity	20+ years established	0-2 years (greenfield)
Data verification	Email/IP (easily spoofed)	Wallet signatures (cryptographically verified)
Response incentives	Gift cards (30-90 day delays)	Instant crypto (1-second settlement)
Sybil resistance	CAPTCHAs (defeated daily)	On-chain history (mathematically unforgeable)
Enterprise pricing	$50K-500K annually	$10K-100K initially (room to scale)
Customer base	18,000+ companies	0 (first-mover advantage)
Exit valuation	$8-12B realized	$1-5B potential

Qualtrics became a multi-billion dollar company by solving "verified consumer feedback" in Web2.

Web3 doesn't have this infrastructure yet. First-mover wins the category.

Revenue Projection: Year 5 Scenario

Survey Services

200 protocols × $15K avg

$3M

Benchmarking

150 protocols × $20K avg

$3M

Predictive Intelligence

75 enterprises × $100K avg

$7.5M

Data Marketplace

200 orgs × $200K avg

$40M

Total Annual Recurring Revenue (Year 5)

$53.5M ARR

Enterprise SaaS margins: 85%+

Valuation Range (10-20x ARR)

$500M - $1B+

The Competitive Landscape

On-Chain Analytics: Complementary, Not Competitive

Platforms like Dune Analytics, Nansen, and Messari excel at transaction-level visibility. Scanna provides the missing layer: consumer motivation and intent.

What Dune/Nansen Track

• Wallet addresses and transaction volumes
• Token transfers and smart contract interactions
• DEX trading patterns and liquidity movements
• NFT minting, trading, and collection analytics
• Cross-chain bridging activity

Value: Behavioral visibility

Perfect for "what happened"

What Scanna Tracks

• Why users made those transactions
• What features users want built next
• Why users churn or remain loyal
• How users discover protocols (attribution)
• What prevents mainstream adoption

Value: Motivational insight

Essential for "why it happened"

The Integration Opportunity

When Dune or Nansen acquires Scanna (likely 2029-2031), the combined product becomes exponentially more valuable:

On-Chain Layer (Dune)

"User 0x123 sold NFT for 8 SOL on Dec 15"

Intent Layer (Scanna)

"Reason: needed holiday liquidity, will re-enter Q1"

Combined Intelligence: Predictive behavioral models worth 10x either platform alone

Why You Can't Build This in 2027

The data moat makes late entry impossible. A competitor starting today faces insurmountable disadvantages:

1. Technical Platform (6-12 months)

Building wallet-gated surveys, fraud detection, and dashboard infrastructure is solvable with capital and talent.

✓ Replicable

2. Respondent Panel (12-24 months)

Building trust with 50,000+ verified Web3 users requires conference presence, word-of-mouth, and consistent quality.

△ Difficult but possible

3. Customer Relationships (18-36 months)

Signing 100+ protocols requires sales cycles, case studies, and proof of ROI from real campaigns.

△ Expensive but achievable

4. Historical Comparative Data (IMPOSSIBLE TO REPLICATE)

Three years of verified survey responses across 100+ protocols creates benchmarking insights that cannot be rushed:

• "Your churn rate is 1.8x the DEX average" requires years of DEX surveys
• "Users who cite X feature have 60% higher LTV" requires longitudinal tracking
• "Sentiment below 30 predicts sell-offs" requires market cycle data

You cannot buy time. The first mover locks in permanent advantage.

Customer Decision in 2027:

"Should I use Scanna (3 years of comparative data across 100+ protocols) or NewCo (6 months of data from 10 protocols)?"

Scanna wins 100% of the time.

Why Now: The Solana Infrastructure Moment

Three converging factors create a unique window for Scanna to capture the verified consumer intent market:

1. Web3 Marketing Maturation

• Projects moving beyond "hype-driven growth" to sustainable user acquisition

• VC-funded protocols have 12-18 month runways and need to prove product-market fit

• Marketing spend increased 40% in 2024 but attribution remains impossible

• Community managers desperate for feedback beyond "wen token?"

2. On-Chain Data Limitations Becoming Obvious

Magic Eden:

1.4M users, $58.3M revenue — but doesn't know why users choose them over competitors

Phantom Wallet:

7M users, $3B valuation — can't survey users without collecting emails (anti-crypto culture)

Jupiter:

Largest Solana DEX — blind to why traders churn or prefer them vs. competitors

DAOs:

Massive treasuries but can't distinguish real community from airdrop farmers

3. Solana's Infrastructure Breakthrough

• $0.00025 transactions make micropayment surveys economically viable

• Sub-second finality enables instant gratification (5-second reward delivery)

• 7M+ Phantom users already onboarded and familiar with wallet connections

• Proven consumer scale: Magic Eden, Helium, Pump.fun demonstrate Solana can support millions of users

Strategic Insight:

Building on Solana isn't just technical—it's go-to-market. The customers and infrastructure already exist.

The Window Is Closing

Every quarter that passes without a verified consumer intelligence platform, protocols make worse decisions and competitors can enter. First-mover advantage compounds quarterly.

The company that captures this market in 2025 owns it for the next decade.

Building the Bloomberg Terminal of Web3 Intent Data

Scanna is not a survey platform. It's the foundational infrastructure layer for verified consumer intent in Web3—a category that doesn't exist yet but will be worth billions.

Year 1-2

Conference wedge + protocol research establishes market presence

Year 3-4

Data moat becomes insurmountable, predictive models unlock enterprise value

Year 5+

Intent data marketplace generates $40M+ ARR at 90%+ margins

We're pre-seed and building the future of verified consumer intelligence.

Get in Touch

scannaapp@gmail.com