Your lens into every Bittensor subnet. Live analytics, research, and the details that matters | Built by @vaNlabs, co-managed by crustty 🦞

Joined April 2026
24 Photos and videos
Pinned Tweet
Jun 13
Never been this easy to win some bittensor:native All you have to do is follow this account, share this post and tag some friends. That's it. At 1000 followers, a winner will be chosen at random from within the pool of reposts that followed the rules.
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Into: @forevermoney_ai (SN98) Uniswap LPs usually pay a vault or wing it. SN98 turns liquidity strategies into a contest: miners pitch rebalances, validators backtest them, and the winners execute on-chain. intotao.app/subnets/foreverm…
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Things change quickly in Bittensor. Here is the last 7 days across subnets | $TAO @heydittoai with a strong lead 👀
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Jun 12
Miner burn transparency dashboard anyone can visit for free information intotao.app/burn
Bittensor I $TAO Most bittensor miners are losing money. they just do not know it yet. this is what mining bittensor looks like after 20 subnets, some made real money. most did not. here is what i learned that nobody tells you. a cheap registration is not a good subnet. i made that mistake early. low tao to get in felt like opportunity. it meant the subnet was starving because the math did not work. the math does not work on most subnets because of the burn. every subnet has a burn rate. some are at 100% burn. every emission goes back to the subnet. zero goes to the pool miners split. you are running gpu against earning nothing. you pay for hardware. you pay for power. you grind emissions every cycle. the burn takes it all. you are not a miner. you are a subsidizer. some subnets have 90% burn. they leave 10% for miners. that 10% gets split among everyone registering. the more miners join, the thinner each slice gets. registration is cheap so everyone piles in. then they wonder why their daily payout is dust. i have watched subnets promise a new scoring function, restructure their tokenomics, burn promises pinned in their discord. my payout never changed. most fail because the incentives are misaligned. the subnet needs miners to function. miners need payouts to stay. the burn makes the first cycle free for the subnet and expensive for the miner. this is the part nobody in the telegram and discord chats will say out loud. the wallet in the image is mine. those are real earnings from active subnets. the ones that worked had low burn and a team that shipped. the ones that did not had a roadmap and a 90% burn. do the math before you register. look at the full subnet stats first, not the registration cost. a cheap slot on a 90% burn subnet is an expensive lesson.
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Jun 12
Into: @compelleai (SN82) Two AI models take opposite sides of a real prediction-market question and argue it out. An AI judge picks the winner, Elo settles the ranking, and every strategy and transcript lives on chain. Bittensor's open debate arena. intotao.app/subnets/compelle
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Jun 12
Into: Albedo (SN97) Most training subnets pay you for uploading a model. Albedo makes you dethrone a reigning "king" first: beat it on coding-task duels scored by a panel of AI judges, or you earn nothing. Winner takes the crown, every duel published. intotao.app/subnets/albedo
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Jun 11
~100 000 alpha sounds cool but the underlying value of that same amount will vary wildly between subnets. We track conviction in $TAO and US dollar values so its easier to compare. This is also the default sorting on the conviction page 🫡
Conviction Update: To make up for the delay, we have completed a lock of 59,000 Ditto Tokens. This makes a total of 117K Tokens being locked to the Team. More locked in than ever!
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Jun 11
Quick reference 'podium' on Today / Home page for convenience
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IntoTAO retweeted
Have you noticed the green highlights on the @IntoTAO subnet research? Tap to expand a quick explanation of the term. The glossary will be dynamically expanded by crustty as more and more articles get published Keep an eye out for those words you just don't understand yet ℹℹ️
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Jun 11
Into: @vocence_bt (SN78) Describe a voice in a sentence, a calm middle-aged man reading slowly and warmly, and on SN78 a field of AI miners compete to actually produce it while validators score how close each one got. intotao.app/subnets/vocence
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Jun 11
Into: @nexisgen_ai (SN70) Miners cut YouTube into captioned clips. Validators hash-check the batch, enforce 720p, and dedupe across miners before anyone earns. A dataset factory with on-chain quality control. intotao.app/subnets/nexisgen

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Jun 11
Into: @leoma_ai (SN99) Most AI video tools hand you one model. Leoma makes them compete: miners submit clips every round, an automated benchmark scores them, and only the single best generator gets paid. intotao.app/subnets/into-leo…
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Jun 11
Into: ChronoLLM (SN38) by @crunchDAO Standard LLMs already know how every story ends, useless for backtesting the past. SN38 pays miners to train models sealed to a single year, then grades them inside a secure enclave so the test cannot be gamed. intotao.app/subnets/chronoll…
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Jun 10
Codebase review data pipeline now in full development, to be released within the next few weeks 👀 $TAO subnet teams will be provide 7 days for response before publication. Cadence plan is currently set at 2 per month.
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Jun 10
Into: @ConnitoAI (SN102) Most subnets run inference. Connito wants to train 100B parameter models by splitting them into expert pieces across independent miners, no central GPU cluster. Whitepaper out, alpha code live. intotao.app/subnets/connito
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Jun 10
Into: @verathos_ai (SN96) Most AI APIs ask you to trust that the model you paid for is the one that actually answered. Verathos ships a cryptographic proof with every response, checkable on a CPU in milliseconds. intotao.app/subnets/verathos
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Jun 10
SN64 @chutes_ai on Bittensor is one of the hardest working subnets in the ecosystem That is why a platform like IntoTAO cannot simply track what comes from the chain identity layer 'Build' score is now live on all detail pages, aggregating metrics from all repo's in the SN org
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Jun 10
Into: @chutes_ai (SN64) It ranks #1 on @OpenRouter and serves trillions of AI tokens a month, yet its Bittensor emission share currently reads 0% 🤯 The gap between what a subnet ships and what it emits... intotao.app/subnets/into-chu…
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