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TAOQuant
Deterministic risk dashboard for Bittensor subnets
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.
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!
About TAOQuant on Product Hunt
“Deterministic risk dashboard for Bittensor subnets”
TAOQuant was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #50 on the daily leaderboard. 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.
On the analytics side, TAOQuant competes within Open Source, Analytics, GitHub and Web3 — topics that collectively have 291.1k followers on Product Hunt. The dashboard above tracks how TAOQuant performed against the three products that launched closest to it on the same day.
Who hunted TAOQuant?
TAOQuant was hunted by New User. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of TAOQuant including community comment highlights and product details, visit the product overview.
New User