Market Strategy

🚀 Market Strategy and Network Physics

📐 Network Physics: Percolation Threshold Theory

In random geometric graphs, only when node density $\lambda$exceeds a critical threshold$\lambda_c$ does a "giant component" emerge.

For a two-dimensional plane with connection radius $r$ the critical density for high-probability connectivity is approximately:

$$\lambda_c \approx \frac{4.5}{\pi r^2}$$

Butterfly thought experiment: assume Bluetooth effective range $r \approx 30$ meters, which means at least 1.6 active nodes are needed per 1000 square meters. Conclusion: Early on at city scale this is unlikely to be achievable. Therefore the GTM strategy must focus onhyper-localized clusters.

🗺 GTM Strategy: Density-Driven Value

1. Campus First:

   • Recruit ambassadors on university campuses.

   • Tactic: a "Library Encounter" challenge to find crushes in the same building.

2. Event Penetration:

   • Target music festivals and the Token2049 conference.

   • Tactic: the organizers set up "signal towers" so that turning on Bluetooth near a booth grants event-exclusive NFTs and airdrops.

3. City Expansion:

   • Partner with cafés and bars to deploy fixed beacons.

   • When users socialize inside partner venues, mining weight is doubled ($W_{dist} \times 2$).

Cold-start Solution Traditional mesh apps fail at cold start because sparse networks have zero utility. Butterfly Explore-to-Earn decouples "utility" from "connectivity." Even in sparse networks, users can mine tokens by discovering another node, paying the opportunity cost before the network matures.