The chart follows the alpha price in τ. Each period starts at its opening price and steps through the mechanisms below, in a fixed order, to its closing price: a step that rises pushed the price up, one that falls pushed it down, and its height is how far it moved the price. A thin line carries each close into the next period’s open; it is dashed where the two differ. The faint candle behind each period is the market’s own open, high, low and close, for context.

With many periods on screen (90 days, or hours), the steps would be too thin to read, so the chart draws the price as a line instead and colours each period by the mechanism that moved it most. Hover a period for the full step-by-step breakdown.

Protocol buy: The chain spending excess emission TAO to buy alpha from the pool. A permanent protocol buyback; it pushes the price up.
Root sell: Root-dividend claims sold into the pool; they push the price down.
User buy / sell: Staking into and unstaking from this subnet.
Cross-subnet: Swaps from other subnets routed through this pool.
Residual: What the decomposition cannot attribute to a mechanism. It is always shown, never folded into another part.

Not here, because they do not move the spot price: the per-block TAO injection into the pool, and burns.

All figures are log changes, not simple percentage changes, so the parts add up exactly to the total; on big moves the two differ (a 10% log fall is a 9.5% price fall).

Today so far

2026-11-10 UTC, as of ≈23:08 UTC (block 9,479,032)

Price, today so far: 0.002977 τ
Volume, today so far: 234.84 τ
Market cap incl. burned, today so far: 5.35K τ
TAO in pool, today so far: 11.72K τ
Emission share, today so far: —not available yet

The day isn’t over yet, so these figures keep changing. They are in no daily total, average or rank.

Subnet Configuration

Pool & Mechanism

AMM Pool

Balancer

Mechanism

dTAO

Access

Registration

Open

Neurons

256/256Competitive

Validators

7/6457 open

Economics

Owner Cut

18.00%

Weights

Disabled

Disabled

2388

1–65535

Timing

Tempo

360~1.2h

Immunity Period

7,200~1.0d

Activity Cutoff

5,000~16.7h

Market & Economics

Market

Market Cap

3,292.9738 τ

FDV

17.07K τ

TVL

23.44K τ

Lifetime Volume

931.46K τ

Holders

1,727−0.46% 7d·+2.25% 30d

Circulating alpha

1,106,254.8898 ט

Owner Locked

38,808.0453 ט(3.51% of circulating)Perpetual

14d price

Holder & circulating-alpha metrics as of 2026-11-10 00:00 UTC (daily close)

Revenue / Recycle

2.15×

last day · Net positive

Emissions

<0.01%of network emissions

TAO emitted to this subnet

Sent into its pool each day: its share of network emissions

0.2208 τ/day

0.2208 τ per day

Daily distribution

Alpha paid out each day, valued at the pool price

7,200.0000 ט/day

≈ 21.4321 τ·21.4321 τ per day

Miners35.62%

2,564.3943 ט ≈ 7.6334 τ/day

Validators46.38%

3,339.6386 ט ≈ 9.9411 τ/day

Owner18.00%

1,295.9670 ט ≈ 3.8577 τ/day

Stake 1,000 τ here

284.9139 ט/day≈ 0.8481 τ·0.8481 τ per day

From the validator share, before commission

128.10%staker APY

· 30d avg 128.10% · Stable

90d

Pool emits 1.0000 ט/block at 0.002977 τ/ט. Yield varies with stake weight, pool price, and emission rate.

For Miners

35.62% of emission

Slots

256/256Competitive

Burn Cost

0.0312 τ

Est. per Miner

0.5191 ט/epoch≈ 0.0015 τ

Pool / Epoch

128.2197 ט≈ 0.3817 τ

For Validators & Stakers

46.38% of emission

Validator Slots

7/6457 open

Est. per Validator

23.8546 ט/epoch≈ 0.0710 τ

Registration Activity

Neuron registration trends

This Interval

24h: 59 registrations (59 burn · 0 PoW)

Target / Interval

Slots Available

Competitive

256/256

Neurons

256

Development Activity

afterpartyai/bittensor-conversation-genome-projectPython

243620 contributors2 commits/30dLast commit 14d ago

MIT

Top Contributors

What ReadyAI does

Organizations need large volumes of high-quality annotated data to train and evaluate AI systems, but human annotation is expensive, slow, and difficult to scale. Crowd-sourcing platforms struggle with quality consistency, and hiring specialized annotators for domain-specific work is cost-prohibitive. A decentralized network of independently-operated annotation nodes can process data at scale while maintaining quality through economic incentives: validators establish ground truth on full datasets, miners compete on tag quality, and scoring mechanisms enforce alignment through cosine similarity validation. ReadyAI implements this as a subnet on Bittensor where validators pull raw conversations or documents, tag them comprehensively to establish ground truth, then distribute windowed subsets to independent miners who generate annotations. Miners' submissions are scored against the validator's ground truth, and rewards are distributed based on tag accuracy and relevance—creating a cost-efficient, scalable annotation pipeline.

Auto-generated from the GitHub repository and may not reflect the latest changes.

About

active

ReadyAI is a decentralized data structuring and semantic tagging pipeline built on Bittensor that converts raw unstructured data into AI-ready structured data. Validators establish ground truth by tagging full conversations/documents and create data windows for miners to process. Miners receive windows and generate metadata tags and embeddings, which are scored by validators using cosine similarity against the ground truth.

The system supports multiple task types including conversation tagging, webpage metadata generation, survey tagging, named entity extraction, and skill generation.

How it works

ReadyAI follows a fractal data mining architecture: validators pull full conversations/documents from the ReadyAI API (or custom data sources), establish ground truth by generating comprehensive semantic tags and embeddings for the full content, then break the content into windows and mask sensitive data. These masked windows are distributed to multiple miners who process them independently using configured LLMs to generate tags and embeddings. Miners return their results to validators, which score each submission against the ground truth using cosine similarity, then upload results to persistent storage.

Validators are rewarded for accurate ground truth establishment and scoring; miners are rewarded based on tag quality. The system supports encrypted endpoint commitments where miner addresses are encrypted on-chain and only validators with the private key can decrypt them to reach miners.

Incentive mechanism

For tagging-style tasks: the validator generates ground truth tags for full source content, breaks it into windows, and sends masked windows to miners. Each miner tag is scored by cosine similarity to the embedding neighborhood of ground truth tags. Final miner score blends: top-3 unique tag mean (55% weight), overall mean tag score (25% weight), median tag score (10% weight), and single top score (10% weight).

Penalties apply if: no tags overlap with ground truth, fewer than minimum unique tags submitted, or all tags score below threshold. For skill_coverage_evaluation tasks: scoring blends section coverage and skill coverage via embedding similarity, with LLM-as-judge verification of test assertions to prevent fabrication.

The sections above were auto-generated from the GitHub repository and may not reflect the latest changes. View repository (github.com, opens in a new tab, external site)

On-Chain Identitysigned on-chain by subnet owner

ReadyAI

Tet · Hebrew letter · pronounced “tet”

Owner: 5HinU…Z8uB
Hotkey: 5HinU…Z8uB
Owner Cut: 18.00%
Contact: [email protected]

Registered: 2y 5mo ago(May 12, 2024)
Block: 2,943,950
Slot history: Every subnet in SN33
Neurons: 256/256
Tempo: 360 blocks

Subnet History

SubnetIdentitySet 2025-04-01 22:53 UTC

Block 5,259,097Extrinsic

SubnetIdentitySet 2025-03-11 22:45 UTC

Block 5,107,858Extrinsic

Subnet registered 2024-05-12 23:17 UTC

Block 2,943,950Extrinsic

Recent Activity

SubnetIdentitySet Block 5,259,097 Extrinsic2025-04-01 22:53 UTC
SubnetIdentitySet Block 5,107,858 Extrinsic2025-03-11 22:45 UTC
NetworkAdded Block 2,943,950 Extrinsic2024-05-12 23:17 UTC

This information was auto-extracted from the GitHub repository and may be incomplete or out of date. Always refer to the subnet's GitHub repository (github.com, opens in a new tab, external site) for the latest instructions.

Hardware Requirements

Miner

GPURequired

GPU ModelNVIDIA A100

VRAM8 GB

RAM16 GB

Storage10 GB

CPU Cores4

OSUbuntu 20.04

Networkdownload 100 Mbps, upload 20 Mbps

Miners using OpenAI API need CPU with 8GB RAM and 20GB disk; GPU with 24GB VRAM recommended for production

Validator

GPURequired

GPU ModelNVIDIA A100

VRAM8 GB

RAM16 GB

Storage10 GB

CPU Cores4

OSUbuntu 20.04

Networkdownload 100 Mbps, upload 20 Mbps

Not yet verified: Notes

Machine-extracted from the subnet's repository docs; may be wrong or out of date. Check the repository before buying or renting hardware. Open the repository (github.com, opens in a new tab, external site) · Extracted 2 Nov 2026

Miner Setup

Clone the repository

git clone https://github.com/afterpartyai/bittensor-conversation-genome-project.git cgp-subnet && cd cgp-subnet

Install Python dependencies

pip install -r requirements.txt

Create environment configuration file

cp env.example .env

Edit .env to add OpenAI API key and other required configurations

nano .env (or your preferred editor)

Run tests to verify setup (optional but recommended)(optional)

python -m pytest -s --disable-warnings tests/test_full_loop.py

btcli s register --netuid 138 --wallet.name <coldkey> --wallet.hotkey <hotkey> --network test --wallet.path ~/.bittensor/wallets

Start miner on testnet

python3 -m neurons.miner --subtensor.network test --netuid 138 --wallet.name <coldkey> --wallet.hotkey <hotkey> --logging.debug --axon.port <port>

Validator Setup

Clone the repository

git clone https://github.com/afterpartyai/bittensor-conversation-genome-project.git cgp-subnet && cd cgp-subnet

Install Python dependencies

pip install -r requirements.txt

Create environment configuration file

cp env.example .env

Edit .env to add OpenAI API key, WandB API key, and configure database endpoints

nano .env (or your preferred editor)

Set testnet private key (provided in env.example) or mainnet key (distributed securely)

export COMMITMENT_PRIVATE_KEY=<testnet_key_or_mainnet_key>

Generate validator API key by running generation script (for testnet add 'test' argument)

python scripts/get_validator_api_key.py test

btcli s register --netuid 138 --wallet.name <coldkey> --wallet.hotkey <hotkey> --network test --wallet.path ~/.bittensor/wallets

Start validator on testnet

python3 -m neurons.validator --subtensor.network test --netuid 138 --wallet.name <coldkey> --wallet.hotkey <hotkey> --logging.debug --axon.port <port>

No hardware? Back this subnet by staking instead New to mining? Start with the setup guide Validator setup guide

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What moved the price

Overview

Today so far

Subnet Configuration

Market & Economics

For Miners

For Validators & Stakers

Registration Activity

Development Activity

What ReadyAI does

About

Subnet History

Recent Activity

Participate

Hardware Requirements

Miner Setup

Validator Setup

What moved the price

Today so far

Subnet Configuration

Market & Economics

For Miners

For Validators & Stakers

What ReadyAI does

About

Subnet History

Hardware Requirements

Miner Setup

Validator Setup