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.
Viktor.comAn AI coworker that actually does the work
Promoted
Maker
📌
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!