jayesh

[Daniel @danielisdizzy]

My 2030 price target for $NBIS is $3,000 per share.

The math is simple:

• 5 GW of active compute capacity
• $25M annual revenue per MW
• $125B in annual revenue
• 25% net margin
• ~$31B in net income
• 30x P/E
• ~25% dilution

That gets me to roughly $3,000 per share.

And the most interesting part is that $25M per MW isn’t an aggressive assumption.

Nebius is already signing long-term capacity around $20–25M/MW, while short-term capacity can reach $40–50M/MW.

AI demand can scale exponentially.

Physical infrastructure can’t.

That imbalance makes every MW of compute more valuable.

I broke down my entire $NBIS valuation model and the path to $3,000 in my new video.

[Homely_Style @Homely_Style]

Fix a cabinet door when the hinge screws have stripped the wood. A simple metal reinforcement plate fits over the damaged area, creating a solid new surface to securely re-attach the hinge.

[Alok Kumar @Alokkumarzz]

A Stanford professor took two average stocks, rebalanced them daily, and turned $100,000 into $7 million without predicting a single price.

Bookmark & watch today, no matter what.

[paulwalker @paulwalkermanx]

Kendini profesyonel bir sürücü olarak gören herkes bu videoyu önce izlemelidir.

[Radha Tripathi @Radha_AI]

IIT, chalkboard, zero slides

A 22-year-old at IMC gets paid $500,000 in year one for exactly one skill. Not picking winners. Seeing every trade as a full spread of outcomes, each one with its own odds attached.

Her name is Prabha Sharma. She teaches this exact skill on a bare chalkboard, for free, in a lecture almost nobody outside that room has ever watched.

Most people see a trade as a coin flip. Win or lose. Nothing else.

You already think this way about your own trades, don't you.

That's the mistake. A trade is never just win or lose. It's a spread of outcomes, each with its own odds and its own payoff attached before a single dollar moves. The formula for this is called the binomial distribution, and it's far simpler than it sounds.

Here it is:

P(X = k) = C(n,k) × p^k × (1-p)^(n-k)

n = how many bets you take
p = your real win probability on each one
k = how many of them you actually want to win

Try it yourself right now. Say you have a genuine 55% edge (p = 0.55) and you take 10 trades (n = 10). What's the actual chance you win at least 6 of them?

Plug in k = 6: P(X=6) = C(10,6) × 0.55^6 × 0.45^4 ≈ 23.8%

Add that up across every value of k from 6 to 10, and your real odds of winning at least 6 out of 10 land around 47%. Just under a coin flip, with a genuine edge in your favor.

Sit with that for a second. A 55% edge does not feel like 55% once you actually run the math over a small number of trades.

This is the exact formula that decides how much to risk on any single bet, once you actually know your edge. Sharma builds the whole thing from zero, in notation simple enough for a complete beginner to follow every step.

Wall Street pays $500,000 a year for this one skill. An IIT professor already gave the entire thing away, for free, on a blackboard nobody bothered to watch.

[Carol💕✨ @HerDailyAffirm]

Which kid wouldn't want to go to school with an atmosphere as lovely as this?? ❣️❣️❣️

[Shree Siddhivinayak Ganapati Temple Trust @SVTMumbai]

🙏गणपती बाप्पा मोरया 🌺मंगलमूर्ती मोरया 🙏२९/०८/२०२६
🙏Ganapati Bappa Moraya 🌺 Mangalmurti Moraya 🙏 29/08/2026

[Crazy Moments @Crazymoments01]

The baby kisses over puppy bark

[BOSS-DK @muhammadtalha93]

Which dam design can handle the MOST water pressure? 👇

A B or C ?

99% will get this wrong 😂

[CBS News @CBSNews]

"I knew I was going to die."

Anjana Raja and Pattabiraman Venkatesan, a couple from the San Francisco Bay Area who were on a pilgrimage to Tibet, told CBS News' @RamyInocencio that they had just passed Timure headed to the Nepal-China border when what looked like a tsunami struck Wednesday while they were in their tour bus.

In what they said feels like a miracle, the couple made it out of the bus and ran for higher ground. https://t.co/SJ4f9Z08FF

[Wolf @WolfprwX]

Thank you for saving him ❤️

[نجلاء @JustNjlaaa]

­
الراحمون يرحمهم الله.

[Midas @midascabal]

$NVDA CEO, Jensen Huang, basically said that the EASIEST way to get RICH is to buy the AI Bottleneck Suppliers to Nvidia.

Here are 5 stocks that can 10x:

[musclebooster @musclebooster_]

Build strength with a personalized calisthenics plan.
1. Set your goals and target areas
2. Get a custom bodyweight training plan
3. Train consistently and track every session

Take the test to get started.

[NOVA @TechWith_Nova]

A 19-year-old Japanese student built a trading bot with Claude Code in 2 days.

Used his iPad as a second monitor.

First night: $6,732 profit.
Starting capital: $68.

Total profit so far: $750,000.

Here's how it works:

The bot scans over 50 markets simultaneously.

Syncs live BTC data from Binance every second.

Spots price errors before humans even notice.

The edge is pure speed + pattern recognition.

While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets.

No guessing.
No emotions.
No hesitation.

Just Claude Code logic finding gaps that close in seconds.

He built the entire system in 48 hours:

→ Claude Code handles the trading logic
→ Binance API feeds real-time BTC data
→ iPad displays multi-market monitoring
→ Executes trades when arbitrage windows open

The system runs 24/7.

Every price dislocation = profit opportunity.

Most people are still trading manually, refreshing charts, second-guessing entries.

Meanwhile this 19-year-old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear.

Why are people still trading manually?

💡 I'm giving away the exact Claude Code setup for free.

24 hours only.

To get it:

1️⃣ Comment "Fable"
2️⃣ Like and Repost
3️⃣ Follow @TechWith_Nova
I'll DM you the complete setup.

[Compounding Quality @QCompounding]

PEG Ratio Explained Simply

[Investing visuals @InvestingVisual]

The AI buildout is still in full swing. The six layers of the AI stack and key beneficiaries per layer:

1 | Power:
• $GEV
• $BE
• $BN
• $CEG
• $TSLA

2 | Chips:
• $NVDA
• $AMD
• $TSM
• $ASML
• $AVGO

3 | Data centers:
• $NBIS
• $IREN
• $CRWV
• $ANET
• $ALAB

4 | AI models:
• $GOOGL
• $META
• Anthropic
• OpenAI
• xAI

5 | Software platforms:
• $PLTR
• $MSFT
• $RBRK
• $CRWD
• $NOW

6 | AI apps and agents:
• $ZETA
• $TEM
• $AXON
• $NET
• $DDOG