Learn dTaoAnalytics
Two short reads: how to use this site, then what Bittensor is. About 12 minutes total. Deeper analytics (signals detail, weekly report, and similar) are invite-only — see Access.
A five-step loop for deciding which subnets to own, size, avoid, or monitor. Some steps link to surfaces that need an invite for full depth; the map stays useful on the public tier.
- 1.
Read the macro
Where TAO sits, network health (BHI + poolHHI), and what the regime implies for subnet selection. Start here whenever you log in.
→ /macro
- 2.
Filter for tradability
Browse all subnets and screen out the ones too thin to enter or exit without slippage damage.
→ /market
- 3.
Read the signal
See which subnets look attractive on momentum, capital flow, fundamentals, and emission yield — and which signals are predicting returns this quarter.
→ /signals
- 4.
See how to allocate
Compare model portfolios from the system fleet — each one is a different allocation hypothesis with a live track record.
→ /portfolios
- 5.
Monitor what is breaking
Risk Sentinel tracks emission shifts, concentration changes, and fading traction so positions don't go stale.
→ /risk
Bittensor for Investors
What Bittensor is, how it works, and why subnet tokens behave differently from equities.
Bittensor is a network of specialized AI markets ("subnets"). Each subnet defines a task; miners compete to solve it; validators score the work; and the best performers earn protocol emissions.
Intelligence is adaptation to reward. Define a task, set incentives, and let the best contributors compete. That's Bittensor in one sentence.
Core principles:
- • Permissionless — anyone can participate, no gatekeepers
- • Incentive-driven — rewards flow to contributors who solve problems
- • Self-optimizing — the network improves as participants compete
Tokenomics:
- • 21 million TAO tokens, fixed forever
- • Halving schedule that slows emissions over time
- • Emissions distributed through subnet participation
Note: Subnet participation is open and permissionless. The base chain is maintained by a validator set—see official docs for governance details.
"I once worked on ML systems where the best results required more data and more diverse contributors than any single team had. Bittensor clicked because it turns that into a permissionless market: define a task, set incentives, and let the best contributors compete. dTaoAnalytics is a private workbench for understanding where that market is headed — not a service for sale."
— Site creator
Ready to Explore?
Start with the Market to browse subnets, or check the Dashboard for the current network state.
Deeper methodology? See the Methodology page.
Want the full vision? Watch Jacob Steeves (Bittensor creator) at Tsinghua University.
dTaoAnalytics offers research and analytics only — no trades, no custody. Invite-only depth is for a private circle.