AOQuant is a transparent, zero-AI, client-side risk dashboard for the Bittensor ecosystem. Evaluate subnet yield stability, stake concentration (HHI), and miner churn with auditable mathematical formulas.
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Hi Product Hunt community!
I’m excited to launch TAOQuant, a lightweight, transparent, and deterministic risk dashboard built for the Bittensor ($TAO) ecosystem.
The Problem: Analyzing subnet health usually involves piecing together raw, fragmented metrics across multiple explorers. Standard platforms don't offer an easy way to compare structural risk at a glance.
The Solution — The IRA Score: TAOQuant aggregates network telemetry into a single, normalized index ($0–100$) called the Index of Risk Adjustment (IRA Score), based on three core pillars:
-APY Stability: Yield volatility via the Coefficient of Variation ($CV$);
-HHI Decentralization: Concentration of stake/miners using the Herfindahl-Hirschman Index;
-Miner Churn Efficiency: Network turnover stability.
Why Zero-AI & 100% Client-Side?
Risk assessment should be deterministic, auditable, and transparent—not a black box. All formulas run locally in your browser, with zero tracking, no wallet connections required, and fully open-source code.I’d love to get your feedback on the UX, the IRA weight distribution, and additional risk metrics you'd like to see.
Thanks for checking it out!