TropicalJizz 🏝️💦

Jizzin n chillin over in the tropics.

[Lorden @lorden_eth]

I found this wallet printing $500-$700 per minute

Makes a total of $2,000 - $4,000 every 5 minutes trading BTC

Wallet: 0xe0229e10a858860218b6132f4234602c47bd6603

Rare cases where $300 was flipped into $2,000

PnL of $139k after 58 days

Profile: https://t.co/xmdKFaujBd

[PEPE - “THE GOAT” @AdamHODL]

Bidded heavy on SN44.

Score.

$SCORE.

Whilst most people don't even know how to buy SN's on $TAO, what they're building is what I think will be the first billion dollar subnet. They're building a permissionless computer vision layer that gives every camera in the world intelligence.

Essentially, it is turning any camera into intelligent systems. You describe in plain English what you want to detect. Manako (their product layer running on SN44) handles the rest, instant alerts, insights, automated actions. No code. No model training.

What they're doing isn't just plans and false promises or demo's. It's deployed, and already detecting:

• Fire
• Crime
• Petrol stations activity
• Forecourt activity
• Crowd behaviour
• Number plates
• Sports matches (player tracking, ball, game, etc)

This isn't just dummy tests, these guys already got huge partnership integrations with global companies & football clubs.

1. PwC France & Maghreb — Big Four firm integrating their enterprise advisory practice across retail, logistics, manufacturing, energy.

2. Reading FC — using to process match footage into coaching insights.

3. Major European petroleum company — monitoring thousands of automated gas stations.

4. Two-a-Day — one of Africa's largest fruit packers, scaling vision AI across production lines.

Also won Paris Blockchain Week Start In Block 2026, beat 1,000+ startups in front of BNP Paribas, JPMorgan, Goldman, Morgan Stanley.

What they're building is insane, every camera on earth becomes a node in an intelligence network priced in $TAO.

@webuildscore

[Anuj @anujcodes_21]

Learn AI for free directly from top companies

1 - Anthropic:
https://t.co/nlzkOkrcqq

2 - Google:
https://t.co/xcwO3dYYwG

3 - Meta:
https://t.co/hh4qkCpue3

4 - NVIDIA:
https://t.co/W80se9qFQm

5 - Microsoft:
https://t.co/qFVpijl554

6 - OpenAI:
https://t.co/HyxAzi09l4

7 - IBM:
https://t.co/RfsWc2aLQe

8 - AWS:
https://t.co/c4bYeVywU9

9 - DeepLearning AI:
https://t.co/IFrcFquVde

10 - Hugging Face:
https://t.co/uPWty9UswA

Comment "AI" for more resources.

Like, Retweet & Bookmark for future updates.

[Miles Deutscher @milesdeutscher]

Once you start using Claude Plugins, you'll never go back.

They're the best way to boost your productivity inside of Claude.

You can package multiple MCPs + Skills to automate your daily tasks.

You'll wish you started using these sooner:

[Ansem @blknoiz06]

$CARDS generates almost the same revenue as $VVV which is at 1B+ market cap but because its on solana instead of base & the zoomers have decided to only bid memes it still sits at $40M

differentiated app in its own vertical with very little competition

[VirtualBacon @virtualbacon]

Every week someone asks me: "what is your price target for X altcoin?"

I do not answer that question with a number. I answer it with a method.

Here is the method. It takes about 5 minutes and works for any altcoin.

Step 1: Find your BTC drawdown reference.
Take Bitcoin's recent high and its most recent bear market low. In this cycle: from roughly 108K in January down to 61K in February. That is a drawdown of roughly 44%. Call this the BTC drawdown.

Step 2: Find your altcoin's matching drawdown.
Over that same period, how much did your altcoin drop? As an example: from about 700 dollars at the December high to around 200 dollars at the February low is roughly a 71% drop.

Step 3: Calculate the beta multiple.
Divide the altcoin percentage drawdown by the BTC percentage drawdown.
71% divided by 44% equals approximately 1.6x.
This is how much more your altcoin drops relative to BTC.

Step 4: Project your altcoin's target entry.
Now pick your BTC scenario. Say you think BTC could drop to 60K from around 77K today. That is roughly another 22% down. Apply the 1.6x beta: 22% times 1.6 equals about 35% drop for your altcoin. If the altcoin is currently at 60 dollars, a 35% drop puts you around 39 dollars.

That is your data-backed entry zone. Not a number you made up. Not a target from Twitter. A structured projection from actual price history.

Two things to watch out for.

First, beta multiples change. A coin that was 1.6x beta in the last leg can become 2.5x beta if sentiment shifts. Treat this as a floor estimate, not a ceiling.

Second, the method only works if you also pick the right BTC scenario. If Bitcoin goes sideways instead of down, your altcoin may not hit the target at all. The math is conditional on your BTC call.

The reason this beats gut-feel price targets: it anchors you to actual historical price behavior rather than pattern-matching to a chart that looks oversold. A lot of coins that look cheap at minus 50% from ATH have a BTC-beta that means they could go to minus 70% or 80% if BTC has one more leg down.

Until Bitcoin confirms the next bull run with a weekly close above roughly 95K, I am not buying altcoins. But if you are building a watch list and want to know where to put your limit orders, this is the framework.

[Ansem @blknoiz06]

have been doing a lot of work internally to pull all of the available Polymarket data, surfacing the top performers & allowing people to easily copy trade them has been key differentiator for us

want to hear feedback: https://t.co/aMsA4xJ13z

[Marry Evan @marryevan999]

It worked.

Gave Claude $20.

Left it coding overnight.

Woke up to:

• finished script
• +$95 from first 5 trades

Didn’t touch anything.
Then I found this wallet:

0xb27b...b82

• $384,858 profit
• 13,070 predictions
• $18.5K biggest win
• Started March 2026

Almost no one is watching it.

While building my script, I copytraded it to test the math.
Started with $80.
→ $4,218 in a few weeks
Every position is identical in structure.

Not trading.
One equation.

Running while you sleep.

Examples:

$17,839 → $36,318 (+103%)
$3,112 → $15,011 (+382%)
$10,676 → $22,178 (+107%)

Here’s the exact framework I gave Claude:

1. Temporal bias
Find BTC time windows with >65% edge.
Ignore everything else.
2. Kelly sizing
Size based on confidence.
Never fixed bets.

f* = (p × b − q) / b

3. Volatility filter
Skip high volatility.
Trade only clean conditions.

4. Bayesian updates

Update probabilities after each trade.
The system improves over time.
Claude built everything while I slept.

Funded it with $20.
First trade fired minutes later.

You’re seeing this early.
That window doesn’t stay open.

You only need Claude + Device + 1 hour/day.

Giving This Free for 24 hours. To get it:

1. Comment - whatever you think about it . ( Mandatory )
2. Like and Retweet this post
3. Follow me @marryevan999 (so i can DM you)

[Elja @Eljaboom]

HOLY F*CK🤯

Someone launched an open source “Palantir” called OSIRIS.

10,000+ aircraft. 2,000+ satellites. 1,400+ CCTV cams. Built-in OSINT tools.

All running on a live 3D globe… straight out of a cyberpunk movie.

[ZIL💰💸 @MikeZillionaire]

A third-year student at Shanghai Jiao Tong University used Anthropic’s Claude to build a trading bot that reportedly made $193,000 on Polymarket.

Here’s the wild part:

He wasn’t “predicting” the market.

He built a system that detected when market pricing lagged behind reality.

That delay became the edge.

The framework combined:

• Arbitrage
• Market-making
• Hedging
• AI-driven execution

Pipeline looked like this:

News → Market sentiment → AI scoring → EV detection → Position sizing → Execution

The strategy itself was simple:

Spot a pricing inefficiency → Enter the trade → Buy the opposite outcome to lock partial arbitrage → Hedge the base risk → Keep the remaining exposure for directional upside.

By capturing tiny 2–3% edges over and over again with clean execution, the profits compounded fast.

2026 will belong to people building AI trading systems.

Not people endlessly scrolling timelines.

To get access:

1. Comment your thoughts below
2. Like & Retweet this post
3. Follow @MikeZillionaire

[Shelpid.WI3M @Shelpid_WI3M]

A guy is making $500 a day posting AI baby videos on YouTube.

He scrolls YouTube Kids, finds whatever baby video is getting the most traction that week, and that's his research done.

Drops the concept into Claude. Gets back a full creative direction character description, movement style, mood, everything.

Takes that output straight into Kling 3.0. One prompt. One click. A smooth, bright, perfectly animated baby video renders in minutes.

No downloading. No editing timeline. No software to learn.

Posts it to YouTube. Algorithm picks it up. Parents put it on for their kids. Kids watch it four times in a row. Watch time spikes. YouTube pushes it harder.

The loop runs itself.

$500 a day from videos that take him 20 minutes to make.

He never appears on screen. Never records anything. Never leaves the apps.

Just YouTube for research, Claude for the creative, Kling 3.0 for the visuals, and a upload button.

Four steps. Twenty minutes. $500.

Save this before every parent with a phone figures out the same thing.

[Polymarket @Polymarket]

Trade the "Steroid Olympics" live: https://t.co/hMz1izrqD0

[Malinga Galabada @MalingaGalabada]

As a brown, this is hilarious 😂

[Khushi Agarwal @Aicoder786]

Anthropic just showed a 24-minute workshop on how to actually prompt Claude.

Taught by the people who built it.

Free. No signup. No paywall.

I've watched $300 courses that don't cover what they teach in the first 8 minutes.

[Anuj @anujcodes_21]

Claude FULL COURSE 1 HOUR (Build & Automate Anything)

[AilaunchX @Ai_Tech_tool]

INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 1 hour with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and Bookmark it now.

[Rahul @sairahul1]

18-year-old American found a roofing company on Google Maps with 4.9 stars and no website, copied their reviews and pasted them into ChatGPT 5.5.

2 minutes later - a complete brief.

Pasted it into AI and just waited while the system built a full website with all pages, reviews and a booking button.

Called the owner and showed him the live preview. He said yes immediately because he'd been meaning to fix this for years and never had the time.

Invoice for $1,000. 47 minutes of work from the first search to a closed deal.

Then he built a machine.

AI pulls 200 businesses from Google Maps in 10 minutes, writes a personalized email for each one with their real business data - 500 emails a day, 3% respond.

Month one - $4,000, month six - $15,000-20,000. Five million businesses on Google Maps are still waiting for that call.

[EllioTrades @elliotrades]

AI Supercycle
Perps Supercycle
Robotics Supercycle
Energy Supercycle
Privacy Supercycle
TCG Supercycle
Livestreaming Supercycle

[EllioTrades @elliotrades]

LIVE NOW with @michaelsikand discussing his GENERATIONAL run with AI and Robotics stocks

This one is going to slammed with alpha

10X opportunities, research process and more

https://t.co/dGwYgqJimY

[TropicalJizz 🏝️💦 @CockertonJoshua]

@AdamHODL @sonofhippocrate But where is best to hold the tokens? On the app if that's possible or an a SOL wallet like phantom?