GTM
Go-To-Market Strategy
ZYBER's go-to-market strategy focuses on users who feel the pain of current AI workflows most acutely and are already equipped with the tools to adopt a Web3-native solution.
Target User Segments
Primary: Developers with Crypto Exposure
Run AI-generated code daily
Direct exposure to execution risks
Manage wallets/keys
Highest consequence from compromise
Understand security tradeoffs
Can evaluate ZYBER's value proposition
Already use Web3 tools
Low friction to wallet-based auth
Pain Point: "Every time I run Cursor/Copilot code, I'm risking my wallet."
Secondary: Web3-Native Users
Wallet-based identity
Already familiar with Web3 auth
Privacy-conscious
Actively avoid centralized services
Crypto payment ready
No friction on payment model
Community connected
Strong word-of-mouth potential
Pain Point: "I want to use AI, but I don't trust giving my data to these platforms."
Tertiary: Privacy-Focused Power Users
Use privacy tools
VPNs, encrypted messaging, etc.
Avoid identity exposure
Won't use email/password auth
Willing to pay for privacy
Higher value customers
Early adopters
Help refine product
Pain Point: "There's no way to use AI without creating a permanent record linked to my identity."
Distribution Channels
Developer Communities
Twitter/X
Security-focused content, demo threads
GitHub
Open-source tooling, integrations
Dev Discord servers
Direct engagement, support
Hacker News
Technical deep-dives
Reddit (r/programming, etc.)
Use case discussions
Web3 Communities
Crypto Twitter
Product announcements, partnerships
Web3 Discord servers
Community building
DeFi communities
Security-focused messaging
NFT/builder communities
Creator tool positioning
Privacy Communities
Privacy-focused forums
Technical architecture posts
Security researcher networks
Audit and review engagement
Encrypted messaging groups
Word-of-mouth
Early Adopter Strategy
Phase 1: Closed Beta
Hand-selected developers from target segments
Direct feedback loop
Rapid iteration on core flows
Phase 2: Invite-Only Launch
Early users invite others
Community-driven growth
Quality over quantity
Phase 3: Public Access
Open registration
Scaled infrastructure
Full feature set
Messaging Framework
Primary Message
"Use AI without exposing your device, your identity, or your wallet."
Supporting Messages
Developers
"Safe vibecoding—run AI code without risking your system."
Web3 users
"Web3-native AI access—wallet login, crypto payments, no identity exposure."
Privacy users
"Private AI interaction—no email, no cards, no data logging."
Growth Metrics
Signups
Total registered users
Activations
Users who create first session
Session hours
Total workspace usage time
Retention
7-day, 30-day return rates
Referrals
User-driven new signups
Competitive Moat
As ZYBER grows, the defensibility increases through:
Network effects — More users = more feedback = better product
Infrastructure investment — Workspace orchestration is hard to replicate
Brand trust — Privacy reputation compounds over time
Ecosystem — Integrations, agents, and tooling create lock-in
ZYBER's GTM strategy aligns distribution with users who already understand the problem and have the tools to adopt the solution.
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