What is Bittensor subnet 104 (for sale (burn to uid1))?

for sale (burn to uid1) (SN104) is subnet for sale. in the meantime, burning to uid1 and experimentation stops to park subnet until sold. 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 for sale (burn to uid1) (SN104)?

for sale (burn to uid1) currently holds a Master Score of 40/100 (rating: avoid). The score combines Market Score (35%), GitHub Score (40%), and AI Score (25%). Higher scores indicate stronger multi-dimensional momentum.

Is for sale (burn to uid1) (SN104) a good Bittensor subnet to stake?

ICM Analytics tracks for sale (burn to uid1) (SN104) with a composite Master Score of 40/100. Consider market momentum, GitHub activity, and AI usefulness scores together. Visit the full scorecard at https://icm-analytics.com/bittensor/subnets/104/ for current evidence and scoring breakdown. This is not financial advice.

for sale (burn to uid1)

Name: for sale (burn to uid1) (SN104) — Bittensor Subnet Intelligence
Creator: ICM Analytics
License: https://creativecommons.org/licenses/by/4.0/

SN104 · Բ

subnet for sale. in the meantime, burning to uid1 and experimentation stops to park subnet until sold.

Master Score

avoid

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Frequently Asked Questions

: for sale (burn to uid1) (SN104) is subnet for sale. in the meantime, burning to uid1 and experimentation stops to park subnet until sold. It is part of the Bittensor decentralized AI network, scored daily by ICM Analytics across market dynamics, GitHub development activity, and AI fundamentals.
: for sale (burn to uid1) holds a Master Score of 40/100 (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 for sale (burn to uid1)'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 →