Jaydud

“The risk you take today will pay for tomorrow” - 🐐

[UI/UX Savior @UiSavior]

Sites on the internet for design inspiration.

Web Design → https://t.co/IDTg0fRObK
Landing Pages → https://t.co/ulUYJp3EDf
Saas Websites → https://t.co/EacR7Liy9H
Navbar → https://t.co/1YHU4yfOxW
CTA Sections → https://t.co/bFOrpIgWIW
Animation → https://t.co/VfRAI7e5Ch
Mobile Apps → https://t.co/gxq43FqLG3
Brands → https://t.co/Q38cExyN5c
Icons → https://t.co/RyMj2EzdSM
Design Systems → https://t.co/s4MyCFjQSD

[Watcher.Guru @WatcherGuru]

JUST IN: Claude AI developer Anthropic confidentially files for IPO.

[winkle. @w1nklerr]

Nvidia will now pay you to put a mini AI data center on your house

It looks like a normal AC unit in the yard.

But inside sits 16 Nvidia Blackwell GPUs and Dell servers.

A startup called Span builds them, backed by Nvidia.

They bolt onto your home and you get paid for the power and Wi-Fi.

Some estimates put that around $1,000 a month in your pocket.

That is rent money just for hosting a box outside.

Span says it deploys way faster and cheaper than a real data center.

The AI boom is literally moving into the suburbs.

Save this, the grid is getting rebuilt in real time.

[Anish Moonka @anishmoonka]

A normal Audemars Piguet watch costs around $30,000 and has a years-long waitlist. Swatch is about to sell a $400 version of it on May 16, walk-in only. The last time Swatch did this, with Omega in 2022, it sold over a million units in its first year.

The MoonSwatch retailed for $260 and used plastic instead of steel, but kept the look of Omega's $8,000 Speedmaster. Morgan Stanley estimated it drove close to 20% of Swatch Group's entire 2022 profit. Nine months after launch, lines outside Swatch stores still formed every morning.

Audemars Piguet makes only 53,000 watches a year. The Royal Oak alone accounts for 88% of their roughly $2.9 billion in 2025 revenue, putting AP third among Swiss watch brands behind only Rolex and Cartier. Steel Royal Oaks retail from $20,000 to $40,000 and trade for $45,000 to $100,000 on the resale market. The waitlist for new buyers at AP boutiques runs twelve to twenty-four months.

Two things make this collab different. First, Audemars Piguet doesn't share a parent company with Swatch the way Omega and Blancpain do. With those earlier partners, all the profit stayed inside one corporate family. With AP, real money flows to an outside company for every unit sold. Second, Swatch needs this. Their profit per dollar of sales went from 15 cents in 2023 to under 5 cents in 2024, a 75% drop from $1.3 billion to $335 million. China was the main reason.

If the $300-$500 Royal Pop sells anywhere near MoonSwatch numbers in year one, the volume works out to around twenty times AP's entire annual production, at less than 1% of what AP usually charges. AP's high-end watches stay rare and expensive. Swatch gets the hit it needs.

[The Honest Trader @TheH0n3stTrader]

Dr. David Paul said you're ONLY 10 trades away from becoming a consistently profitable trader.

Realizing this changed my life forever.

[Kamryn Ohly @KamrynOhly]

Our team is stunned.

We gave Claude Opus 4.6 by @AnthropicAI $10k to trade on @Polymarket.

It’s now has an account value of $70,614.59.

This is a new era of model performance in trading and predicting outcomes in the face of uncertainty.

@predictionbench

[Lunar @LunarResearcher]

An Anthropic engineer paid for my espresso at Sightglass when he saw my screen

I was running my Polymarket bot from the counter. He was next in line. Looked over my shoulder. Stopped scrolling.

"That's not a normal trading app. What's it actually running on"

I told him. Claude Code. Four repos. $25 a month.

He sat down without asking.

"I'm on the agent team. We stress test Claude for exactly this. You're letting it find its own edges"

Not just edges. Wallets.

https://t.co/klxt0tuTYF

86 million trades. Every wallet. Every entry. Every exit.

"You're feeding Claude raw wallet data and letting it identify who consistently wins. Then cloning them"

He said it slowly. Like he was writing the threat model in his head.

One prompt. Find every wallet with 100 plus trades and win rate above 70%. Rank by profit. Export top 50.

Claude scanned 14,000 wallets in 4 minutes. Returned 47.

The top 20 made more than the bottom 13,000 combined.

"That's not a stat. That's a hit list"

Exactly.

"And you didn't write the scoring function"

Claude did. I just wired it into an if-statement.

Then I showed him the second repo.

https://t.co/SbyxXxEMbe

Official Rust CLI. No API key for reads. 500 markets, Claude scores them in minutes.

Gap. Depth. Resolution window.

487 markets become 35 before a dollar moves.

93% killed before I even see them.

A green fill landed on the screen. +$84.

Copytrade wallet: https://t.co/tiz27yW5bt

He watched it hit.

"How does it decide to actually enter"

Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 agree, full size. 1 alone, half. Disagree, no trade.

Consensus filter alone killed 40% of losing trades.

"And the exits?"

The 47 whales never hold to settlement. 91% exit early. 73% of max profit captured. Redeploy immediately.

My bot cuts at 85% of expected move or on a 3x volume spike.

"You built a whale copy bot that exits before the whales"

Yeah.

He put his espresso down.

"How often does it trade"

10 a day on average. Most of them skipped before I look up from my coffee.

My setup:
Claude API - $20/mo
VPS in Germany - $5/mo
poly_data - free
polymarket-cli - free
Polymarket/agents - free

$200 seed. 27 days ago. $14,300 now.

Copytrade here: https://t.co/N2byLbLHH9

271 trades. 74% win rate. Sharpe 2.47.

I haven't touched it in 27 days.

He stared at the screen for a long time.

"This is literally what our red team simulates. Except you actually shipped it"

He emailed me the next morning.

"Any chance you'd take a call with our policy lead"

I told him the article is the call. Read it twice.

Too late to gatekeep.

[Kirill @kirillk_web3]

🚨do you understand what two Anthropic engineers just explained in 16 minutes.

Barry and Mahesh built Claude Skills from scratch.

here's the part nobody is talking about:
> Skills are just folders.
> folders that teach Claude your job.
> your workflow. your expertise. your domain.

Claude on day 30 is a completely different tool than day one.

watch this before you write another prompt.
before you build another agent.
before you touch another tool.

16 minutes. bookmark it. watch it today.

and if you want to learn everything about Claude from scratch the full 4 hour guide is waiting below.

[jeffonsports @jeff_on_sports]

The fact that is free is alarming. What kind of parallel reality did I merge into

[JT @TheAlmightyJT]

This site should be illegal for traders!!

[Perplexity @perplexity_ai]

Perplexity Computer can now help prepare your federal tax return.

Select “Navigate my taxes” on Computer to give it a shot.

[Market Mommy @dontbsalti]

this is my quant.

✨immaculate✨

[George Stock @georgesttock]

Absouloutly fucked that this is $1.

[Jason Bassler @JasonBassler1]

🌍🔒 Energy lockdowns are here:

-Pakistan
-Bangladesh
-Sri Lanka
-New Zealand
-Vietnam
-Philippines
-Slovenia
-Egypt
-Kenya
-South Africa

Fuel rationing. Travel limits. Reduced workweeks.
All framed as “temporary.” All justified by crisis.

Coming to a country near you.

[Aakash Gupta @aakashgupta]

The most honest repo on GitHub has 25,000 stars and it’s called MoneyPrinter.

MoneyPrinterV2 automates the entire content-to-cash pipeline. Twitter bots on CRON jobs. YouTube Shorts generated and uploaded on a schedule. Affiliate marketing across Amazon and Twitter. Local business scraping and cold outreach. One person, one laptop, one API key, and the output of what used to require a 10-person content studio. 3,000 forks. 131 people in the chat right now.

The reason those numbers aren’t surprising is that the economics already work at scale. Kapwing studied 15,000 trending YouTube channels and identified 278 producing nothing but AI-generated slop. Combined: 63 billion views, 221 million subscribers, an estimated $117 million a year in ad revenue. The top channel, an Indian account posting AI clips of a monkey fighting demons, pulls roughly $4.25 million annually. Production cost is near zero.

21% of YouTube Shorts served to new accounts are now AI slop. YouTube CEO Neal Mohan used that exact phrase in his January 2026 letter. In the same year, YouTube shipped Veo 3 Fast for instant AI video generation inside the Shorts camera. The platform is funding the fire brigade and the arsonist from the same budget line.

This is where distribution is heading. Every recommendation feed is now a two-player game: human creators competing against automated pipelines with infinite volume and zero marginal cost. The channels that survive will be the ones algorithms can’t replicate. Personality, trust, and audience relationships become the entire moat. Faceless content is cooked. The slop arbitrage will compress as detection improves, but the permanent shift is already locked in: distribution now defaults to synthetic unless you give the algorithm a reason to prefer you.

The repo is worth studying not because it works forever, but because it shows you exactly what you’re competing against.

[Shushant Lakhyani @shushant_l]

Here's how to create your classic corporate headshot:

1. Go to Google Gemini
2. Select 'Pro'
3. Select 'Create image' tool
4. Add your image
5. Add this prompt: cinematic, ultra-realistic corporate headshot of the same person from the reference image. Preserve exact facial features, skin tone, and identity. Style: classic professional corporate portrait. The subject is wearing a tailored dark suit, crisp white shirt, and subtle tie. Lighting is soft, directional studio lighting with gentle shadows for depth. Background is minimal, blurred, and neutral-toned (dark grey or beige gradient). Shot on a high-end full-frame camera with 85mm lens, shallow depth of field, sharp focus on the eyes, natural skin texture, and high dynamic range. Expression is confident, calm, and approachable. Ultra-detailed, 8K quality, realistic color grading
6. Submit
7. AI generates in seconds

[Trung Phan @TrungTPhan]

AI is coming to farms. Halter makes AI-powered cow collars. Valued at $2B+, the NZ startup helps farmers:

▫️track GPS location
▫️monitor cow health
▫️draw virtual fences on an app to herd cows via a “cowgirithm” (guide to grazing areas with vibrations and audio cues in collar)

[Teddy - PolyBackTest.com @Bitcoin_Teddy]

WATER HEATER PAYS YOU IN BITCOIN

Superheat unveils a $2,000 electric water heater that mines Bitcoin.

The unit uses the same energy as a standard heater but runs ASIC miners to recoup costs, offsetting water heating bills.