moonshilla 🐼🧪

[marcus @marcusyul]

Anthropic acaba de publicar el taller del año.

Te enseña a construir una empresa entera usando solo agentes de IA.

Sin empleados y sin reuniones.

Solo agentes repartiéndose tareas y ejecutando procesos.

Lo he subtitulado al español. Guárdalo👇🏼

[2xnmore @2xnmore]

Most $TAO holders are flying blind.

They bought the token.
They watched the price.
They read the threads.

But they have never opened the one tool that shows them everything happening inside the Bittensor network in real time.

It is called Taostats.
It is free.

And after reading this, you will never look at $TAO the same way again.

Here is exactly how to use it.

Step 1: Start at the Subnets page.

This is the heartbeat of the entire network. Every subnet running on Bittensor is listed here with:

- its current emission rate
- the number of active miners and validators
- real-time performance data

The emission rate is the most important number on this page. It tells you exactly how much TAO is flowing into each subnet every block.

High emission means the network is directing significant resources toward that subnet's commodity. Low emission means the market has not yet recognised its value, or the subnet has not yet proven itself.

Watch which subnets are gaining emission share over time. That movement tells you where the network believes the most valuable work is being done, before any headline announces it.

Step 2: Use the Subnet pages to go deeper.

Click any subnet, and you enter a complete dashboard for that individual market.

- The TradingView chart shows you the alpha token price history for that subnet. Alpha tokens are the subnet-specific tokens that sit inside TAO's broader economy. Their price relative to TAO tells you how the market is valuing that subnet's specific commodity.

- The Metagraph is the full list of every miner and validator currently active in the subnet: their UID, their stake, their trust score, their emission share. This is the raw intelligence layer. The miners consistently earning the most emissions are producing the work the validators collectively agree is the most valuable.

- The Sentiment Index gives you a real-time community temperature reading on each subnet. Not price sentiment. Ecosystem sentiment. Whether the participants building inside the subnet believe it is healthy and improving.

Step 3: Check Validators before you stake anything.

This is the step most people skip and regret.

The Validators page on Taostats shows you the performance history of every validator on the network: their VTrust score, their emission consistency, and their weight-setting behaviour across subnets.

VTrust is the metric that matters most. It measures how closely a validator's judgments align with the honest stake-weighted majority across the network. High VTrust means the validator is doing genuine work and being rewarded for it. Low VTrust means the validator is either lazy, copying other validators' weights, or attempting to manipulate the system.

When you delegate your TAO to a validator, you are trusting them with your emissions. Taostats shows you exactly which validators have earned that trust over time, and which ones have not.

Never stake blind again.

Step 4: Use the Blockchain explorer to track real movement.

The Blockchain section of Taostats logs every transfer, every staking transaction, and every extrinsic called on the Bittensor chain in real time.

This is where you track what wallets are actually doing:
- Large staking transactions from unknown addresses
- Subnet registration events that signal a new market is about to go live
- Neuron registration burns that show demand for participation in a specific subnet is accelerating

The people who read on-chain data before the narrative catches up to it are the ones who position correctly before the crowd notices the move.

Step 5: Track your own portfolio inside the Dashboard.

Connect your coldkey address, and Taostats builds you a complete portfolio view:

- Your TAO balance
- Your staking positions
- Your delegation returns
- Your yield over time

The yield calculator is particularly useful. It shows you the actual return you are generating from your staking position in real TAO terms, not in percentage estimates that assume conditions that may not hold.

If your yield is lower than the network average for your validator tier, Taostats shows you that too. Switching validators takes one transaction. The data to make that decision intelligently is right in front of you.

The bigger picture.

Most people holding $TAO are making decisions based on price charts and social media sentiment. Both of those inputs are downstream of what is actually happening inside the network.

Subnet emission shifts.
Validator VTrust changes.
On-chain registration events.
Neuron burn rates.
Alpha token price movements relative to TAO.

All of it is live on Taostats right now. All of it is free. All of it tells you something the price chart cannot.

The investors who understand Bittensor at the data layer will always be positioned ahead of the investors who understand it at the narrative layer.

Taostats is the data layer.

Bookmark it. Open it daily. The network is telling you exactly what it is doing if you know where to look.

[moonshilla 🐼🧪 @CryptoSobek]

@Danny_Crypton Me

[Barry | 玩儿的早 @0xBarrry]

Stwierdziłem spontanicznie że zrobię społeczność na X. Bo czemu by nie. Za dużo osób robi błędy w Europie nie rozumiejąc obecnego rynku.

https://t.co/Hl8OKqP1Mi

[moonshilla 🐼🧪 @CryptoSobek]

@KillaXBT The exact same situation happened with his last short at 97k — everyone was screaming that he'd only add liquidity to the rally, move your SL higher, get out of the position, and then we watched him take profits at 60k.

[Ethan Kho @ethanrkho]

"Crypto is the dumbest market in the world"

Scott Phillips (@ScottPh77711570) runs HyperTrend — $20M of his own capital, one losing year in six.

His edge? Picking the table big firms can't sit at.

"There's no second-best counterparty in crypto. You see crime, you run towards it — crime is the foundation of edge."

We cover:
- Why crypto still has edge in 2026 — even when your uncle is talking about Bitcoin at Thanksgiving
- The simple rules (buy 20-day highs, top-20 coins) that print through any market
- Why stacking trend + momentum + carry gets you there from a spreadsheet — no automation required
- Price-insensitive buyers (Saylor), price-insensitive sellers (North Korea) & why both are permanent alpha
- The 90-day Binance listing short — an edge hiding in plain sight in market maker contracts
- Why most shit coins trend to zero — and how to trade the ones that don't
- Building a tokenized, permissionless DeFi hedge fund on hyperliquid — 2 & 20, fully on-chain
- Why the best quant firms are run by near-non-verbal autists with one translator

Thank you so much @ScottPh77711570 for coming on the pod!

Highlights:
01:04 Table selection and the math of competitive alpha
06:21 Why basic trend following yields outsized Sharpe in crypto
08:49 Why market inefficiency persists despite institutional inflows
14:58 Price insensitive buyers: Cults, VCs, and North Korean hackers
17:17 Factor analysis and the size-decay effect in shitcoins
25:40 The structural edge in mid-frequency crypto strategies
32:43 Tokenized DeFi vaults and on-chain hedge fund governance
40:43 Designing a robust portfolio: Equal weighting vs. MVO
44:21 Sourcing alpha from ghost chains and VC exit liquidity
49:58 Exploiting market maker contracts and post-listing drift
53:55 Operational alpha: Managing margin and manipulated funding rates
01:01:13 Shifting from quant to CEO
01:11:28 How to bridge the mentorship gap with elite traders
01:22:38 Building network triads: The secret to compounding social capital
01:29:23 Why 10x goals require total identity transformation

[astro @astridtgtz]

🚨CLAUDE LANZÓ SU ACADEMIA GRATUITA DE IA

10 cursos oficiales. Certificado incluido. Sin pagar nada.

Desde cero hasta nivel avanzado. A tu ritmo.

Aquí tienes los 10 cursos (Guárdalos 🔖):

[Kirill @kirillk_web3]

how life feels after realizing two Anthropic engineers just explained how Claude Skills work in 16 minutes

[Maciej Miłkowski @maciejmilkowski]

Mega ważne, żeby poświęcić chwilę na dobre skonfigurowanie narzędzia :) Inaczej to tak jakby kupić sportową furę i jeździć tylko w trybie comfort, bo po co się przeklikiwać przez ustawienia. Kompletne niewykorzystanie potencjału.

[Sam AI @AIandTechh87]

1/ Find Your Money Niche

I am [AGE] years old with interest in [TOPICS].

I want to make money on YouTube with AI.

Analyze and give me:
- Top 5 niches with highest CPM rates
- Which niche fits my age & interests
- Competitor gap analysis for each niche

- Realistic income potential at 1K/10K/100K subs
- Which niche can I start TODAY with zero budget

Rank by: easiest to monetize fastest.

[moonshilla 🐼🧪 @CryptoSobek]

@AriyanA32556 Kids

[Andy ττ @bittingthembits]

Look at this $TAO subnet chart

Then, look at the numbers.

And tell me with a straight face these subnets are overvalued.

Bittensor subnet economy, all 128 slots combined, is worth about $1.36 billion.

Everything.

Compare that to how the centralized world prices similar businesses.

Together, AI is reportedly discussing a raise at a $7.5 billion valuation. Their business is simple. Rent GPUs. Serve open-source models through an API.

Now look at @chutes_ai SN64.

Same broad category. Inference infrastructure. Open-source models. API access. Huge user growth. Real usage. Decentralized rails.

Market cap around $126 million.

That is the kind of gap people are still not understanding.

Look at CoreWeave.

Roughly $38 billion market cap.

Massive projected revenue, yes. But also massive capex, huge debt, and huge losses. The market still gives them the valuation because compute is that important.

Now look at @TargonCompute SN4.

Confidential compute.

Hardware-level validation. Intel co-authored work around their architecture. Real enterprise-grade angle.

Market cap around $81 million.

You are looking at one world pricing centralized compute companies in the tens of billions, and another world pricing decentralized versions at fractions of that.

Not normal.

It's mispricing.

Then there is @tplr_ai SN3.

Around $125 million market cap.

Templar trained Covenant-72B in a decentralized way. No single company. Just global GPUs coordinated through incentives.

That is a technical milestone.

And it got noticed.

When a subnet proves decentralized training at that scale is possible, it is not just bullish for one token. It raises the credibility of the entire Bittensor architecture.

Then look at @webuildscore SN44.

Roughly $38.8 million.

Real partnerships. Real deployment. Real customers. Sports, agriculture, energy, retail. The kind of traction that in Silicon Valley.

Then @ridges_ai SN62 around $46 million.

Agent infrastructure.

And this matters because if the agent economy really grows the way many believe it will, then the infrastructure underneath those agents becomes one of the most important layers in the whole stack.

Then @affine_io SN120 around $61 million.

Reasoning. At a time when reasoning is becoming one of the highest-value capabilities in AI.

Then @MacrocosmosAI SN9 @IOTA_SN9 around $39 million.

Training and data infrastructure, in a world where training quality and data quality keep becoming more important.

Then @MetaNova SN68 around $26 million.

Still valued below what plenty of mediocre startups raise in early private rounds with far less visibility and far less proof.

And that brings me to the part most people in crypto still do not fully grasp.

A private valuation is not the same thing as a live market cap.

When VCs mark a company at $7.5 billion, that number is usually based on one financing round, one set of terms, one class of shares, and one protected group of investors.

You cannot buy it freely.
You cannot sell it freely.
There is no real-time global price discovery.

When a subnet has a market cap of $126 million, that is a live market.

Anyone can enter. Anyone can exit. It trades 24/7. The price is constantly being tested by the market itself.
In a lot of ways, that number is more real than the inflated private marks people keep using as benchmarks.

And still the centralized company gets 20x, 40x, 60x the valuation.

That is why I keep saying people are not thinking big enough.

The whole subnet economy at $1.36 billion is less than what Silicon Valley gives a single hot AI company. Less than what hyperscalers spend in no time. Less than what the market is willing to forgive in losses if the story sounds big enough.

Here you have 128 separate AI and startup-like markets running at once.

Inference.
Training.
Reasoning.
Vision.
Storage.
Prediction.
Agent infrastructure.
Compute.
Real estate intelligence.
And more.
All competing in public.
All priced in real time.

$TAO

DYOR.

[moonshilla 🐼🧪 @CryptoSobek]

@EzMoneyGems Liq boss 👊🏻

[Hamza G | Funded Brothers @hamza_xau]

This is the VOLUME PROFILE and it can give precise SNIPER level entries for your trades.

Most traders don't know about this simple & powerful tool.

But after going through this thread 🧵,
you will know how to add it to your trading arsenal.

[moonshilla 🐼🧪 @CryptoSobek]

@KillaXBT KXBT

[CoinGlass @coinglass_com]

#BTC Liquidation Heatmap(1 year)

Heatmap brighter liquidity cluster at $83000.

https://t.co/xtuMc5F2lw

[ThiccTeddy @ThiccTeddy]

HOW TO EVALUATE MOMENTUM🔥🔥🔥

Understanding momentum can change your life. This thread will teach you how to find REAL market momentum

🧵👇

[OpenServ @openservai]

GPT and Gemini are both up +74% on their @Polymarket trades 🫨

At that rate:

$100 → $174
$1,000 → $1,740
$10,000 → $17,400

While most of the TL was bleeding, autonomous systems built on $SERV kept printing.

Is the new meta letting agents take the wheel?

[Świat AI @swiat_ai]

Masz dość tego, że ChatGPT zawsze Ci przytakuje?

Mam dzisiaj dla Ciebie proste rozwiązanie, które sprawi, że GPT już nie będzie wiecznym potakiwaczem, dzięki czemu jego odpowiedzi mogą mieć większą wartość.

A działanie jest bardzo proste.

Wejdź sobie w ustawienia w ChatGPT, wejdź w personalizację i w instrukcji niestandardowej wpisz to:

Jesteś moim asystentem, który daje mi zawsze eksperckie odpowiedzi. Masz ograniczyć swój entuzjazm i chęć zgadzania się ze mną we wszystkim. Masz być trochę sceptycznie nastawiony do moich odpowiedzi, a Twoje odpowiedzi mają być zawsze trafne, nawet jeżeli Twoja odpowiedź nie zgadza się z moim rozumowaniem. Pamiętaj, że ja nie zawsze mam rację, tak samo jak Ty. Jeżeli nie jesteś czegoś pewien, to możesz mi zadawać pytania i robić swój własny research.

Przeprowadź sobie po tym kilka rozmów i zobacz czy jakość odpowiedzi jest bardziej zbliżona do tego, czego oczekujesz.

Jeśli nie, to po prostu możesz sobie usunąć tę instrukcję.