What is the Master Score for TaoLend (SN116)?

TaoLend currently holds a Master Score of 21/100 (rating: D). The score combines Market Score (35%), GitHub Score (40%), and AI Score (25%). Higher scores indicate stronger multi-dimensional momentum.

Is TaoLend (SN116) a good Bittensor subnet to stake?

ICM Analytics tracks TaoLend (SN116) with a composite Master Score of 21/100. Consider market momentum, GitHub activity, and AI usefulness scores together. Visit the full scorecard at https://icm-analytics.com/bittensor/subnets/116/ for current evidence and scoring breakdown. This is not financial advice.

TaoLend

Name: TaoLend (SN116) — Bittensor Subnet Intelligence
Creator: ICM Analytics
License: https://creativecommons.org/licenses/by/4.0/

SN116 · ⴵ

TaoLend is a decentralized lending protocol for the Bittensor ($TAO) ecosystem.It allows users to lend TAO with confidence while borrowers secure their loans using subnet ALPHA as collateral.By unlocking TAO liquidity and keeping ALPHA staked within the subnet, TaoLend strengthens both capital efficiency and network security.

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Frequently Asked Questions

: TaoLend (SN116) is TaoLend is a decentralized lending protocol for the Bittensor ($TAO) ecosystem.It allows users to lend TAO with confidence while borrowers secure their loans using subnet ALPHA as collateral.By unlocking TAO liquidity and keeping ALPHA staked within the subnet, TaoLend strengthens both capital efficiency and network security. It is part of the Bittensor decentralized AI network, scored daily by ICM Analytics across market dynamics, GitHub development activity, and AI fundamentals.
: TaoLend holds a Master Score of 21/100 (rating: D). This combines Market Score (35%), GitHub Score (40%), and AI Score (25%). Scores above 65 indicate strong multi-dimensional momentum.
: ICM Analytics updates TaoLend'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 →