Bittensor Subnet Intelligence
Bittensor analytics sections
Momentum scoring across 129 subnets — powered by TurboVision pipeline
Bittensor subnet scoring: ICM Analytics tracks 129+ Bittensor subnets with a proprietary Master Score combining market dynamics (35%), GitHub development signals (40%), and AI-driven fundamental analysis (25%). Updated daily via automated pipeline.
How scores work: Each subnet receives a Market Score (price, volume, liquidity, staking), GitHub Score (commits, PRs, releases, code quality), and AI Score (usefulness, adoption, code quality, ship speed). These combine into a 0-100 Master Score with letter ratings (S ≥ 80, A ≥ 65, B ≥ 50). Higher scores indicate stronger multi-dimensional momentum.
Data by ICM Analytics — Bittensor subnet intelligence powered by TaoStats ingestion, GitHub scanning, and LLM analysis. Updated daily.
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Top Subnets by Master Score
Ranked by combined market, GitHub, and AI momentum signals
Subnet Spotlight
Deep dive into top-performing subnets
Frequently asked questions
What is Bittensor (TAO)?
Bittensor is a decentralized AI network where miners produce machine intelligence and validators evaluate their outputs. TAO is the native token used for staking, emissions, and governance. The network consists of 60+ active subnets, each specializing in different AI tasks like text generation, image recognition, data scraping, and more.
What is dTAO and how does subnet staking work?
dTAO (Dynamic TAO) is Bittensor's subnet tokenomics system where each subnet has its own alpha token. Stakers allocate TAO to subnets they believe in, which increases that subnet's emissions share. Higher emissions attract more miners, creating a positive feedback loop. This makes momentum a structural feature of dTAO markets — capital inflows drive further development and attention.
How does the ICM Analytics subnet scoring system work?
ICM Analytics scores each Bittensor subnet across three dimensions that combine into a Master Score: Market Score (price dynamics, volume, liquidity, staking flows), GitHub Score (commit frequency, PR activity, code quality signals, developer count), and AI Score (LLM-driven analysis of subnet usefulness, adoption potential, and shipping speed). The Master Score ranges from 0-100 and produces a letter rating (S/A/B/C/D/F).
Why does momentum matter in Bittensor subnet investing?
Momentum is a structural feature of dTAO because of a self-reinforcing cycle: capital inflows increase subnet emissions, higher emissions fund more development, development activity attracts attention, and attention drives further capital inflows. Fragmented data across subnets also means information travels slowly, sustaining momentum effects longer than in traditional markets.
What are the four scoring dimensions for Bittensor subnets?
Each subnet is evaluated on four AI-driven dimensions: Usefulness (real-world utility and demand for the subnet's output), Code Quality (engineering standards, testing, CI/CD practices), Adoption (active miners, validators, staking interest, community engagement), and Ship Speed (development velocity, release frequency, PR merge rate). These combine with market and GitHub metrics into a comprehensive Master Score.
How often is Bittensor subnet data updated?
ICM Analytics ingests live data from TaoStats for market metrics, scans GitHub repositories daily for development signals, and runs LLM-driven analysis to produce daily intelligence snapshots. The subnet scoring table and Master Scores are refreshed daily. Market data (TAO price, volume, market cap) reflects the latest available on-chain snapshot.
Data sources: TaoStats (on-chain market data), GitHub (development activity), X/Twitter (social signals). Analysis by ICM Analytics. Updated daily. Looking for token-level dashboards? See ICM Research or Launchpads.
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