What is Bittensor subnet 113 (TensorUSD)?

TensorUSD (SN113) is A reserve-backed stablecoin designed to support 1:1 redeemability for US Dollar within the Bittensor ecosystem. It is one of 129 active subnets on the Bittensor network, scored daily by ICM Analytics across market dynamics, GitHub development, and AI fundamentals.

What is the Master Score for TensorUSD (SN113)?

TensorUSD currently holds a Master Score of 41/100 (rating: avoid). The score combines Market Score (35%), GitHub Score (40%), and AI Score (25%). Higher scores indicate stronger multi-dimensional momentum.

Is TensorUSD (SN113) a good Bittensor subnet to stake?

ICM Analytics tracks TensorUSD (SN113) with a composite Master Score of 41/100. Consider market momentum, GitHub activity, and AI usefulness scores together. Visit the full scorecard at https://icm-analytics.com/bittensor/subnets/113/ for current evidence and scoring breakdown. This is not financial advice.

TensorUSD

Name: TensorUSD (SN113) — Bittensor Subnet Intelligence
Creator: ICM Analytics
License: https://creativecommons.org/licenses/by/4.0/

SN113 · Ѓ

A reserve-backed stablecoin designed to support 1:1 redeemability for US Dollar within the Bittensor ecosystem.

Master Score

avoid

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Master score history — 30d

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Frequently Asked Questions

: TensorUSD (SN113) is A reserve-backed stablecoin designed to support 1:1 redeemability for US Dollar within the Bittensor ecosystem. It is part of the Bittensor decentralized AI network, scored daily by ICM Analytics across market dynamics, GitHub development activity, and AI fundamentals.
: TensorUSD holds a Master Score of 41/100 (rating: avoid). This combines Market Score (35%), GitHub Score (40%), and AI Score (25%). Scores above 65 indicate strong multi-dimensional momentum.
: ICM Analytics updates TensorUSD's scores daily from TaoStats market data, GitHub API development signals, and LLM-driven AI analysis. Score history and evidence are displayed in the scorecard above.

Data sourced from TaoStats (market data), GitHub API (development signals), and proprietary LLM analysis (AI score). Updated daily. Scoring methodology →