What is Bittensor subnet 55 (NIOME)?

NIOME (SN55) is NIOME is a decentralized AI subnet that enables privacy-safe genomic intelligence by replacing real human genomes with high-fidelity synthetic genomic profiles. 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 NIOME (SN55)?

NIOME currently holds a Master Score of 36/100 (rating: C). The score combines Market Score (35%), GitHub Score (40%), and AI Score (25%). Higher scores indicate stronger multi-dimensional momentum.

Is NIOME (SN55) a good Bittensor subnet to stake?

ICM Analytics tracks NIOME (SN55) with a composite Master Score of 36/100. Consider market momentum, GitHub activity, and AI usefulness scores together. Visit the full scorecard at https://icm-analytics.com/bittensor/subnets/55/ for current evidence and scoring breakdown. This is not financial advice.

NIOME

Name: NIOME (SN55) — Bittensor Subnet Intelligence
Creator: ICM Analytics
License: https://creativecommons.org/licenses/by/4.0/

SN55 · ث

NIOME is a decentralized AI subnet that enables privacy-safe genomic intelligence by replacing real human genomes with high-fidelity synthetic genomic profiles

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Frequently Asked Questions

: NIOME (SN55) is NIOME is a decentralized AI subnet that enables privacy-safe genomic intelligence by replacing real human genomes with high-fidelity synthetic genomic profiles. It is part of the Bittensor decentralized AI network, scored daily by ICM Analytics across market dynamics, GitHub development activity, and AI fundamentals.
: NIOME holds a Master Score of 36/100 (rating: C). This combines Market Score (35%), GitHub Score (40%), and AI Score (25%). Scores above 65 indicate strong multi-dimensional momentum.
: ICM Analytics updates NIOME'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 →