Deep Tech Monetization Architecture & Node Sale GTM

Designing the economic and launch engine — not just marketing the project.

Overview

I led the go-to-market strategy for a confidential zk infrastructure project building within the TON ecosystem, positioning itself as a zkEVM Layer 2 solution. At the time of engagement, testnet was not yet live, no public sale infrastructure existed, no node pricing model existed, no structured investor narrative existed, and no community funnel was built. My responsibility was to design and prepare the complete monetization and launch infrastructure prior to public release. Although the node sale ultimately did not launch, I built the full economic and GTM system architecture ready for execution.

Objective

Design a monetization engine that would sell nodes strategically, create structured price appreciation, incentivize early participants, build technical credibility, attract node operators and investors, and sequence messaging correctly relative to product maturity. This was not a retail token launch. It was infrastructure monetization.

1. Narrative & Positioning Pivot

I owned the positioning strategy. The original narrative lacked clarity and differentiation. I reframed the project around: zkEVM Layer 2 infrastructure within the TON ecosystem. I aligned content strategy to emphasize technical infrastructure over token speculation.

• Technical authority framing
• Clear differentiation
• Alignment with Telegram/TON narrative momentum
• Avoidance of speculative hype framing

2. Node Sale Economics Architecture

I personally designed the node pricing model. The economic structure was engineered to balance scarcity, accessibility, and long-term revenue.

3. Sale Infrastructure & Funnel Design

Although I did not implement payment systems directly, I defined the technical requirements and handed execution specifications to the development team.

4. Investor & Node Operator Pitch System

I designed and authored all node sale pitch materials. I worked with the design team by providing content structure, visual direction, economic flow narrative, and slide hierarchy.

• Node economics breakdown
• Revenue logic
• Scarcity modeling
• Roadmap sequencing
• Technical positioning slides

5. Community Infrastructure

Telegram was the primary community channel. Community was not treated as passive chat. It was treated as a conversion funnel.

• Designed group structuring strategy
• Planned onboarding messaging
• Structured drip sequences tied to interest level
• Built segmentation logic for investors vs technical participants

6. Influencer & Content Strategy

Because testnet was not yet live, messaging emphasized technical potential, infrastructure vision, and zk architecture differentiation. This sequencing was deliberate risk mitigation.

• Influencer outreach
• Content sequencing
• Announcement timing relative to product maturity
• Educational vs promotional balance
• Avoided overpromising, token speculation hype, and misaligned expectations

7. Launch Readiness State

By the end of my engagement, the full GTM monetization architecture was designed and ready for execution. The node sale did not ultimately launch. However, the complete system was built.

• Node pricing structure complete
• Sale mechanics modeled
• Landing pages live
• Telegram funnel built
• QR acquisition system deployed
• Investor decks finalized
• Email capture + drip logic structured
• Content strategy aligned
• Influencer pipeline initiated

Why This Demonstrates GTM Engineering