TAO $223.36+3.3% 24h
90

KubeTEE

sn90Inference & ComputeClean5Strong entry96

KubeTEE AI (SN90) — Bittensor Subnet for confidential compute on decentralized kubernetes multi-cluster infrastructure

Emission
117.6
TAO / day · live
Alpha
0.1457
τ · mcap 46.5K
Top-slot payout
1.733
τ per winning epoch · live

Scoreboard

What the validator network actually scored this epoch — read from the chain's Incentive vector, normalized on chain.

Winner
uid #56
incentive 0.502 — 50.2% of validated weight
Qualifiers
3
uids with a validated score
Qualifier mean
0.333
mean validated score
Lowest validated
0.247
the floor that still scored
top 10 by incentive
uid #56 · champion
0.502
uid #97
0.251
uid #0
0.247

These are each miner's normalized incentive from the chain's Incentive vector — the only race score Bittensor stores. It is a share of the validators' consensus weight: all rows sum to 1, so uid #56's 0.802 on Minos means it holds 80.2% of the validated weight — and since emission follows incentive exactly, it also takes ~80% of the miner-side payout. There is no absolute score (an “87/100”) on chain; numbers like that live in each subnet's own off-chain platform. Uids absent from the list received zero validated weight this epoch.

Absolute submission scores (an “87/100”) are computed by validators off chain and never published — subtensor no longer even stores a pre-normalization Scores vector, so the incentive shares above are the only race score that exists on chain.

Race stats

live chain reads

Active miners
7
last epoch
Epoch
72 min
Earning uids
9
uids in the emission map
Integrity
5
clean band
Winner turnover
needs ≥5 archived epochs

scores read 9m ago · block 9,084,250 · epoch 25,234

What scores mean

and what they can't

Incentive is the score the validator network converged on for each uid this epoch — it's what pays: emission follows it. It is normalized on chain to sum to 1, so it reads as a share of validated weight. Hidden per-validator test sets (e.g. a private eval split) are computed off chain and never published — the chain no longer even stores a pre-normalization Scores vector — so taonets shows exactly what the chain shows, no reconstruction.

Repo watch

did the race change? the registered repo is re-checked every ~10 min

bootstrapping

Repo watch is bootstrapping — the worker is registering every registered repo's current head commit as its baseline (a few passes on the metered API quota, without a token). Change detection starts once the baseline is set.

Score history

archived per epoch since taonets started tracking (epoch 25,206)

EpochBlockTimeWinner uidTop incentiveQualifier mean incentiveQualifiers
25,2349,084,250Sep 17, 02:00#560.5020.3333
25,2339,083,917Sep 17, 00:54#560.5030.3333
25,2329,083,594Sep 16, 23:490.5050.3333
25,2319,083,297Sep 16, 22:500.5110.3333
25,2309,082,825Sep 16, 21:150.5040.3333
25,2299,082,528Sep 16, 20:160.5050.3333
25,2289,082,103Sep 16, 18:510.5060.3333
25,2279,081,804Sep 16, 17:510.5010.3333
25,2269,081,504Sep 16, 16:510.5000.3333
25,2259,081,033Sep 16, 15:170.5000.3333
25,2249,080,734Sep 16, 14:170.4990.3333
25,2239,080,311Sep 16, 12:530.5000.3333

The chain does not store past Incentive vectors — history begins when taonets started watching, and every epoch since is archived from live reads only.

Emission capture

The Emission map — what the scores converted into, live.

top miner29.5%
top-1 uid29.5%
top-10 uids combined100.0%

leading uid earns ≈ 1.73 τ / epoch of 117.6 τ/day total

Entry economics

what it costs to race here, live

REGISTRATION BURN
0.5 mτ
paid per miner key registered
TOP-SLOT PAYOUT
1.73 τ
per winning epoch, today
REGISTRATIONS THIS INTERVAL
0
new miners entering
BURNED THIS INTERVAL
τ already burned by this interval's registrations
BEATABLE?
3 scoring slots
uids above zero — the open field

If I register here…

simulator · live costs
ENTRY COST
0.5 mτ
1 key × live burn
TOP-SLOT INCOME
34.66 τ
per day at today's payout, all keys winning
BREAKEVEN
<1d
inside your 30d horizon at top-slot rate

Best-case frame: every key wins every epoch. Your real edge depends on the model you bring — check the scoreboard and winner history above, and the repo watch before committing.

Scoring rules live in the project's own docs — read the repo . Taonets reports the chain's validated scores and repo history; it does not paraphrase scoring rules it hasn't parsed. Watch the repo watch above before committing a key.
Race · Taonets