What is the Master Score for RedTeam (SN61)?

RedTeam currently holds a Master Score of 45/100 (rating: C). The score combines Market Score (35%), GitHub Score (40%), and AI Score (25%). Higher scores indicate stronger multi-dimensional momentum.

Is RedTeam (SN61) a good Bittensor subnet to stake?

ICM Analytics tracks RedTeam (SN61) with a composite Master Score of 45/100. Consider market momentum, GitHub activity, and AI usefulness scores together. Visit the full scorecard at https://icm-analytics.com/bittensor/subnets/61/ for current evidence and scoring breakdown. This is not financial advice.

RedTeam

Name: RedTeam (SN61) — Bittensor Subnet Intelligence
Creator: ICM Analytics
License: https://creativecommons.org/licenses/by/4.0/

SN61 · ر

"The RedTeam subnet by Innerworks is a decentralized platform designed to drive innovation in cybersecurity through competitive programming challenges. The subnet incentivizes miners to develop and submit code solutions to various technical challenges, with a focus on enhancing security. These solutions can be integrated into real-world products to improve their security features."

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Frequently Asked Questions

: RedTeam (SN61) is "The RedTeam subnet by Innerworks is a decentralized platform designed to drive innovation in cybersecurity through competitive programming challenges. The subnet incentivizes miners to develop and submit code solutions to various technical challenges, with a focus on enhancing security. These solutions can be integrated into real-world products to improve their security features.". It is part of the Bittensor decentralized AI network, scored daily by ICM Analytics across market dynamics, GitHub development activity, and AI fundamentals.
: RedTeam holds a Master Score of 45/100 (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 RedTeam'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 →