Subnet.ai
Subnet.ai is an evolving startup project dedicated to providing users with transparent, high-fidelity data and in-depth insights into the decentralized AI initiatives within the Bittensor network. Since its inception, I have been leading the end-to-end design process, focusing on transforming complex blockchain metrics into intuitive, user-centric interfaces. My ongoing involvement includes continuous product iteration, visual strategy, and enhancing the overall user experience to support the platform's growth.

Problem
Subnet.ai faced several challenges:
Data Overload & Complexity: The Bittensor ecosystem generates vast, technical data—such as emission rates, recycling, and stake amounts—that is fragmented and difficult for the average user to interpret. Existing blockchain explorers are often visually cluttered, creating a high barrier to entry for new participants.
Lack of Transparency: In decentralized networks, transparency is vital, yet users frequently struggle to find clear, visual insights into "Whale Holdings" or specific "Validator" behaviors. Without this clarity, stakeholders cannot easily perform due diligence or assess network health.
Scalability & Design Debt: As a fast-growing startup, Subnet.ai requires constant feature iterations. Without a solid foundation, adding complex new functionalities like "Subnet Comparisons" or "Advanced Analytics" would lead to a fragmented user experience.





