What is Bittensor subnet 102 (ConnitoAI)?

ConnitoAI (SN102) is Contributors train specialized expert modules that are aggregated into powerful AI systems, without massive centralized compute. 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 ConnitoAI (SN102)?

ConnitoAI currently holds a Master Score of 42/100 (rating: C). The score combines Market Score (35%), GitHub Score (40%), and AI Score (25%). Higher scores indicate stronger multi-dimensional momentum.

Is ConnitoAI (SN102) a good Bittensor subnet to stake?

ICM Analytics tracks ConnitoAI (SN102) with a composite Master Score of 42/100. Consider market momentum, GitHub activity, and AI usefulness scores together. Visit the full scorecard at https://icm-analytics.com/bittensor/subnets/102/ for current evidence and scoring breakdown. This is not financial advice.

ConnitoAI

Name: ConnitoAI (SN102) — Bittensor Subnet Intelligence
Creator: ICM Analytics
License: https://creativecommons.org/licenses/by/4.0/

SN102 · ვ

Contributors train specialized expert modules that are aggregated into powerful AI systems, without massive centralized compute.

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Frequently Asked Questions

: ConnitoAI (SN102) is Contributors train specialized expert modules that are aggregated into powerful AI systems, without massive centralized compute. It is part of the Bittensor decentralized AI network, scored daily by ICM Analytics across market dynamics, GitHub development activity, and AI fundamentals.
: ConnitoAI holds a Master Score of 42/100 (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 ConnitoAI'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 →