Safello Labs, the research and innovation subsidiary of Safello, has officially launched Wu-Tao, the first Bittensor ($TAO) dashboard and subnet rating system. Built as a central hub for insights and analysis, Wu-Tao brings structure and clarity to the fast-growing decentralized AI ecosystem.
Wu-Tao: A Hub for Bittensor Insights
Wu-Tao introduces a methodical framework for evaluating Bittensor subnets. By making performance and reliability data accessible, it helps both newcomers and experienced users navigate the complexities of subnet participation with confidence.
Frank Schuil, Founder and Chairman of Safello, explained “The Bittensor network continues to evolve rapidly, and with Wu-Tao we want to support the community by offering a structured approach to understanding subnet dynamics.”
Bringing Clarity to Subnet Comparisons
What sets Wu-Tao apart is its focus on subnet evaluation rather than just general network exploration. It helps bring clarity for subnet comparisons and acts as a central hub for achieving this, instead of scattered tools.
This structured approach allows the community to assess which subnets are most reliable, performant, and aligned with their goals — something that has become increasingly important as Bittensor expands across new use cases.
Safello Labs: Research Arm With a Mission
Safello Labs was founded in May 2025 to accelerate growth in the Bittensor ecosystem through tools, research, and strategic initiatives. Wu-Tao is the subsidiary’s first public product, signaling its long-term commitment to empowering the $TAO community with transparent infrastructure.
Why Wu-Tao Matters for $TAO
Wu-Tao arrives at a time when the Bittensor ecosystem is scaling rapidly, and the need for reliable benchmarks is greater than ever. By consolidating key metrics into one dashboard, Wu-Tao:
a. Strengthens community trust through transparency.
b. Makes subnet participation easier for new users.
c. Encourages healthy competition among subnet operators.
In short, Wu-Tao provides the missing layer of clarity that helps both users and validators make better decisions in a dynamic AI economy.
Wu-Tao is live now at wutao.app
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