Every Bittensor subnet in one place. Access on-chain data, whale wallet activity, validator metrics, and risk scores for $TAO subnet tokens. All on https://xitter.cf/t.co/Lt7X8bKJTL

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Joined May 2025
We're about to launch Subnet.ai — we’re building the default research layer for Bittensor subnets: one place to understand what a subnet does (without hopping across @discord / @telegram / @github / @taostats, and to bring trust + transparency to the forefront so more people can confidently swap $TAO for alpha and support the next generation of builders. We’re not trying to be “another exchange”. We’re trying to be the reason you back a subnet because you believe in them. So what can you do on Subnet.ai? Scan the Hero section for the quick “what is this + does it make money?”, spot badges (traction / milestones / credibility), read a clean overview, check price/performance metrics, and connect wallets (@wearetalisman / @subwalletapp /@Polkadot ) to swap $TAO to alpha, send tokens, and stake to validators. Dig deeper into team + experience, roadmap, treasury & emissions, VC raises, and coldkey to exchange transfers; plus track media coverage (credibility) with brand mentions and way more coming soon. We’re in beta so rip it apart on any device, drop feedback here or email [email protected], and if you want to help us grow, we’d love to hear from you.
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We shipped a lot of Bittensor this summer. Here's what's live on Subnet.ai right now.
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Then the history layer. Subnet ownership is tracked like a title history. Past eras like SN5's OpenKaito get their own frozen pages. And a pre-dTAO archive reconstructs the network before the Feb 2025 cutover, owner lineage included.
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And community notes. Wrong fact on a subnet page? Flag it with evidence and it goes straight to the team. Everything here is live at subnet.ai.
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Our new features let you dig so deep into a subnet, you will end up looking like this.
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Gradients (@gradients_ai) lets anyone train an image or text AI model with a few clicks, no machine-learning knowledge required. You pick a model and a dataset, and @bittensor miners on SN56 do the training for you. Results are monitored on the platform, with deeper detail through Weights & Biases, and finished models are usable via @huggingface. There's a simple UI for beginners and an API for developers who want to train programmatically. By the numbers: – 15 active validators, 7 active miners – Total emissions to subnet: $39M (145K TAO) – Holders: 4,733 – Registered Nov 21, 2024 Full breakdown → subnet.ai/subnet/56
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The new emission formula is rewarding active subnets and a few of them are pulling ahead fast. Three of the biggest emission earners since the change: Albedo (SN97) on 3.81% emissions right now $2.3M all-time (current CK) subnet emissions 2 active validators and 5 active miners @affine_io (SN120) on 2.32% emissions right now $47.2M all-time subnet emissions 6 active validators and 5 active miners @chutes_ai (SN64) on 2.26% emissions right now $113M all-time subnet emissions 12 active validators and 15 active miners
The latest Bittensor emission change is working exactly as intended. Until recently, emissions were based on an EMA of net bittensor:native flow. Now it's: Price EMA * root prop * (1-miner burn) This gives a boost to newer subnets who are fully engaged with the network and already have positive market support The visual below shows all subnets, sorted by current TAO emissions. Left chart is emissions before the changes (orange bars) and since the changes (blue bars) Second chart shows the price of each subnet from lowest market price to highest market price Third chart is root proportion (0-100%) Fourth chart is miner burn (0-100%) It's easy to see how the factors are now directing TAO emissions
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Whale Watch — Apex (SN1) by @MacrocosmosAI Top wallet currently controls 15.2% of supply Position size: $460k (240K ALPHA) Validator: Macrocosmos Top 10 wallets hold 54.9% of total supply (3,232 holders total) Subnet risk rate: 41.7% Learn more about the whales on subnet 1 at subnet.ai/subnet/1 then scroll down to whale distribution
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Whale 🐳 Watch — @yanez__ai (SN54) One wallet holds 18.4 of alpha on SN54 a $756.89K position. Top 10 hold 46.1% across 2,434 holders total. Subnet risk rate: 30%. See all the whales on SN54 → subnet.ai/subnet/54
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$TAO Stakers, what made you pick the subnets you're in?
20%APY
40%The Team
0%The Product
40%KOLs talking about it
5 votes • Final results
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Updated: 576,022 Bittensor accounts as of June 9, 2026. That's 70,959 new accounts in just 23 days, averaging ~3,000/day. For comparison, the trailing 12-month pace was closer to ~560/day. Account creation has picked up sharply this spring.
Bittensor added 206,057 new wallets in the last 12 months. 17th of May 2025: 299,006 accounts 17th of May 2026: 505,063 accounts 1.69x network growth in a single year. Bittensor's user base is growing faster than most realize. (Account data: @taostats) People want $TAO
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Subnet Risk Rate check 1. @hippius_subnet — 28.3% risk rate. Top 10 whales including validators hold 49.5% of alpha. Learn more about the risk rate of subnet 75 here: subnet.ai/subnet/75 2. @qBitTensorLabs — 38.2% risk rate. Top 10 whales including validators hold 50.3% of alpha. Learn more about the risk rate of SN63 here: subnet.ai/subnet/63 3. @almanac_market — 17% risk rate. Top 10 whales including validators hold 39.6% of alpha. Learn more about the risk rate of SN41 here: subnet.ai/subnet/41 Risk = top-holder concentration relative to total supply. Higher % = more centralized whale control. Are you holding or trading any of these subnets? Let us know why/why not in the comments below.
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Subnet Spotlight: @taos_im (MVTRX) SN79 MVTRX’s subnet incentivize miners to produce meaningful AI contributions using carefully risk-managed trading algorithms in a large-scale agent-based simulation of automated (intraday) trading strategies. By the numbers: - 6 validators, 211 active miners - Total emissions: $8.37M - Top validator: @YumaGroup - Holders: 2,447 - Subnet risk rate: 70.8% Registered on March 20, 2025 Learn more about MVTRX at subnet.ai/subnet/79
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One validator holds 57.4% of stake on @chutes_ai (SN64). - 951k ALPHA delegated across 3,571 nominators. One account holds 496.03K of the alpha about 51%. - Staking Chutes alpha via this validator has given an APY of 14.56% in the last 30 days, 38.23% in the last week and 44.15% in the last hour. - In the last 24 hours the nominator return is 81.40 TAO. SN64 Primary Validator also has a 2.07% dominance across all validators in Bittensor. (Rank #9) Stake concentration on subnets is uneven, some are spread across many validators, some are dominated by one. See validator dominance on every subnet → subnet.ai (scroll down to “Validator Metrics”.
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Subnet Spotlight: @affine_io one of the top subnets on Bittensor by @const_reborn Affine is an incentivized RL environment that pays miners who make incremental improvements on a set of tasks (such as program abduction or coding). By the numbers: - 9 validators and 5 active miners - Total emissions: $47,64M - Top validator: @taodotcom - Holders: 5,151 Registered on June 10, 2025 Learn more about Affine at subnet.ai/subnet/120 or check out @affine_io to see what they learned at the Qwen Conference in Singapore last week.
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Whale Watch — SN15 @oroagents - Top wallet currently holds 19.5% of supply (not a validator) - Position size: $785k (3.2k $TAO worth of alpha). - Top 10 wallets hold 48.9% of total supply (2,027 total holders including validators) - Subnet risk rate: 33% (low) Learn more about the whales on the ORO subnet at subnet.ai/subnet/15 then scroll down to whale distribution. Do you hold any SN15 alpha? Let us know in the comments.
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