Neuron registration trends
The alpha price in τ, day by day, and what moved it each way.
Log change over the last 30 days −11.26%: protocol buys 0.00%, root sells −2.21%, users net −4.64%, cross-subnet −4.41%, unattributed −0.0003%.
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.
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).
2026-11-06 UTC, as of ≈14:10 UTC (block 9,447,546)
The day isn’t over yet, so these figures keep changing. They are in no daily total, average or rank.
Social media platforms generate massive volumes of unstructured text that existing centralized tagging systems struggle to categorize at scale. A single tagging model cannot adapt to diverse phrasing, emerging topics, and domain-specific contexts across millions of posts. Current approaches are rigid, slow to update, and create bottlenecks for downstream systems that depend on clean, structured signals.
A decentralized network of independent contributors can generate multiple tagging perspectives on the same post and algorithmically identify high-quality consensus tags through weighted scoring. Rather than trusting one model, the network rewards taggers whose submissions align with peer consensus while measuring semantic clarity, relevance, and informativeness. Contributors are incentivized through economic rewards tied to their submission quality, creating an open marketplace for tagging labor.
Tag101 implements this on Bittensor by distributing X/Twitter posts from a curated whitelist to independent miners, who submit semantic tags for each post.
Validators score all submissions using a multi-dimensional rubric (signal strength, content validity, label utility) and apply consensus penalties when multiple miners submit identical tag sets. Miner weights are updated based on aggregated performance across tasks, directing network rewards to the highest-quality contributors.
Auto-generated from the GitHub repository and may not reflect the latest changes.
Tag101 is a decentralized semantic tagging network where miners transform X (Twitter) posts into concise, structured tags identifying key entities, topics, and contextual meanings. Validators evaluate tagging quality through consensus-based scoring, rewarding miners that produce tags aligned with network semantic consensus. Tags turn unstructured social posts into structured signals for indexing, topic tracking, and downstream AI workflows.
Tag101 operates as a decentralized tagging network where validators distribute X/Twitter posts from a centralized database (containing posts from a publicly disclosed whitelist of AI-focused accounts) to miners as tagging tasks. Each miner independently generates a set of semantic tags for each post. Validators then collect all miner submissions, cluster tags, score them using the multi-dimensional TagScore mechanism (signal, validity, utility), apply repeated-set penalties, aggregate miner performance across tasks, and update miner weights on-chain based on relative performance.
Tasks are distributed per-post, and scoring is computed independently per task before aggregation into miner scores for weight updates.
Each tag receives an individual score: TagScore(t) = mean(Sig(t), V(t), Util(t)). Signal score measures semantic stability using log-scaled distinct-miner support, proximity to cluster center, perturbation stability, and canonical consistency. Validity score combines content relevance (BaseScore) with format validation (FormatScore) mapped to discrete tiers {0, 0.3, 0.6, 1.0}.
Utility score combines silhouette-based clustering utility (70% weight) with label fitness rewards for concise semantic labels (30% weight). A miner's task score sums its best TagScore in each qualifying cluster covered (limited to tag budget), normalized against ceiling. Repeated tag sets submitted by multiple miners are penalized using an adjustment formula with default parameters c=50, p=5.5, floor=0.
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)
Tag101 is a Bittensor subnet for decentralized social post tagging
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.
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 19 Oct 2026
Create Python virtual environment
python -m venv .venv
Activate virtual environment
source .venv/bin/activate
Install tag101 package and dependencies
pip install -e .
Copy miner environment file template
cp deploy/miner.docker.example miner.env
Edit miner.env with host paths, network, wallet, hotkey, axon settings, and OpenAI API credentials
$EDITOR miner.env
Build Docker image for miner (recommended approach)(optional)
python -m tag101.deploy.docker_node build --image tag101:latest
Start miner using Docker(optional)
python -m tag101.deploy.docker_node start --role miner --name sn101-miner --env-file miner.env
Create Python virtual environment
python -m venv .venv
Activate virtual environment
source .venv/bin/activate
Install tag101 package and dependencies
pip install -e .
Copy validator environment file template
cp deploy/validator.docker.example validator.env
Edit validator.env with host paths, network, wallet, hotkey, and axon settings
$EDITOR validator.env
Build Docker image for validator (recommended approach)(optional)
python -m tag101.deploy.docker_node build --image tag101:latest
Start validator using Docker(optional)
python -m tag101.deploy.docker_node start --role validator --name sn101-validator --env-file validator.env
| Day (UTC) | Share |
|---|---|
| 2026-11-05 | 0.03% |
| 2026-11-04 | 0.03% |
| 2026-11-03 | 0.03% |
| 2026-11-02 | 0.03% |
| 2026-11-01 | 0.03% |
| 2026-10-31 | 0.03% |
| 2026-10-30 | 0.03% |
| 2026-10-29 | 0.03% |
| 2026-10-28 | 0.03% |
| 2026-10-27 | 0.03% |
| 2026-10-26 | 0.03% |
| 2026-10-25 | 0.03% |
| 2026-10-24 | 0.03% |
| 2026-10-23 | 0.04% |
| 2026-10-22 | 0.04% |
| 2026-10-21 | 0.04% |
| 2026-10-20 | 0.04% |
| 2026-10-19 | 0.04% |
| 2026-10-18 | 0.04% |
| 2026-10-17 | 0.04% |
| 2026-10-16 | 0.05% |
| 2026-10-15 | 0.05% |
| 2026-10-14 | 0.05% |
| 2026-10-13 | 0.04% |
| 2026-10-12 | 0.04% |
| 2026-10-11 | 0.04% |
| 2026-10-10 | 0.05% |
| 2026-10-09 | 0.03% |
| 2026-10-08 | 0.00% |
| 2026-10-07 | 0.00% |
| 2026-10-06 | 0.00% |
| 2026-10-05 | 0.00% |
| 2026-10-04 | 0.00% |
| 2026-10-03 | 0.00% |
| 2026-10-02 | 0.00% |
| 2026-10-01 | 0.00% |
| 2026-09-30 | 0.00% |
| 2026-09-29 | 0.00% |
| 2026-09-28 | 0.00% |
| 2026-09-27 | 0.00% |
| 2026-09-26 | 0.00% |
| 2026-09-25 | 0.00% |
| 2026-09-24 | 0.00% |
| 2026-09-23 | 0.00% |
| 2026-09-22 | 0.00% |
| 2026-09-21 | 0.00% |
| 2026-09-20 | 0.00% |
| 2026-09-19 | 0.00% |
| 2026-09-18 | 0.00% |
| 2026-09-17 | 0.00% |
| 2026-09-16 | 0.00% |
| 2026-09-15 | 0.00% |
| 2026-09-14 | 0.00% |
| 2026-09-13 | 0.00% |
| 2026-09-12 | 0.00% |
| 2026-09-11 | 0.00% |
| 2026-09-10 | 0.00% |
| 2026-09-09 | 0.00% |
| 2026-09-08 | 0.00% |
| 2026-09-07 | 0.00% |
| 2026-09-06 | 0.00% |
| 2026-09-05 | 0.00% |
| 2026-09-04 | 0.00% |
| 2026-09-03 | 0.00% |
| 2026-09-02 | 0.00% |
| 2026-09-01 | 0.00% |
| 2026-08-31 | 0.00% |
| 2026-08-30 | 0.00% |
| 2026-08-29 | 0.00% |
| 2026-08-28 | 0.00% |
| 2026-08-27 | 0.00% |
| 2026-08-26 | 0.00% |
| 2026-08-25 | 0.00% |
| 2026-08-24 | 0.00% |
| 2026-08-23 | 0.00% |
| 2026-08-22 | 0.00% |
| 2026-08-21 | 0.00% |
| 2026-08-20 | 0.00% |
| 2026-08-19 | 0.00% |
| 2026-08-18 | 0.00% |
| 2026-08-17 | 0.00% |
| 2026-08-16 | 0.00% |
| 2026-08-15 | 0.00% |
| 2026-08-14 | 0.00% |
| 2026-08-13 | 0.00% |
| 2026-08-12 | 0.00% |
| 2026-08-11 | 0.00% |
| 2026-08-10 | 0.00% |
| 2026-08-09 | 0.00% |
| 2026-08-08 | 0.00% |
