Protocol wars (🔮) - (e(Kween)/acc)

Currently working at " 🍔 mcdonald's 🍟"
Living in the streets of Crypto "💎 🙌"

Nostr:

[Protocol wars (🔮) - (e(Kween)/acc) @Protocol_Wars]

https://t.co/boHby0dCg8

[Sooraj @SoorajKSaju]

https://t.co/iSMabenF90

[Trader Theory @tradertheory]

How I get ready to trade my $100 personal account:

[Vivo @vivoplt]

best 15 accounts to follow in AI:

@karpathy = LLMs king
@steipete = built openclaw
@gregisenberg = startup ideas king
@rileybrown = vibecode king
@jackfriks = solo apps king
@levelsio = startups king
@marclou = startups king
@EXM7777 = AI ops + systems king
@eptwts = AI money twitter king
@godofprompt = prompt king
@vasuman = AI agents king
@AmirMushich= AI ads king
@0xROAS = AI UGCs king
@egeberkina = AI images king
@MengTo= AI landing pages king

follow them all and learn.

[Cosmin Radoi @cosmin_radoi]

Here's what we've been brewing 🍲

[Robert Chen @NotDeGhost]

Many months in the making. Happy to be taking over such a foundational ecosystem dependency!

If you have feedback, DMs are open

[Caco @Caco12]

$PEARL $1.4B FDV. OTC only, no real market. Locked to one puzzle type. Needs $25k GPU to mine.
$AMBIENT $7M raise, not even live.
$TAO $3-5B, trust-based, off-chain.
$RENDER, $AKASH, all centralized wrappers.
$NOCK $46M. The ONLY chain where consensus is puzzle-agnostic. Today: zk proofs. Tomorrow: MatMul. Next year: AI inference, video render, scientific compute. One coin captures every compute market that ever ships.
1B+ proofs generated. Largest proving network on earth. PMA just shipped, 11x memory reduction. CPU mines. Fair launch.Pearl uses zk as a verification layer on top of one specific puzzle. NOCK uses zk as the consensus itself, extensible to any puzzle ever conceived.
Pearl gambles on one market. NOCK owns the marketplace.
30x cheaper. Math don't lie.

[The Innovation Game (𝔦, 𝔦) @tigfoundation]

Prometheus.

Prometheus, when combined with TIG, enables the collaborative mining and monetization of algorithms at scale.

No PhD.
No lab.
No permission.

[DeFi Dad ⟠ defidad.eth @DeFi_Dad]

🎙️ New @Edge_Pod

📈 The $250k ETH Thesis: Why Wall Street Is Betting ETH Beats Gold and Bitcoin

0:00 - Intro
3:06 - Background on Wall Street
5:18 - ETH is better money than BTC or gold
10:03 - What is productive money?
12:15 - Wall Street buys ETH as productive money
16:02 - The institutional crypto bull market
18:08 - Three demand drivers for ETH
20:53 - Why ETH wasn’t reaching its full potential
25:20 - What happened for ETH to reprice
30:47 - ETFs, Schwab, Tom Lee
32:41 - Bitcoin's security budget problem
33:33 - Censorship resistance + decentralization
39:54 - Path to $250,000 ETH price
44:37 - Ethereum's shipping velocity
46:02 - Ethereum roadmap accelerated by AI
51:43 - Risks to $250k ETH thesis
55:37 - What investors still don’t get about ETH
58:19 - What’s Etherealize been working on?
58:55 - Closing

🙏 Thanks to @Etherealize_io CoFounder @VivekVentures and Researcher/Author of their new report, @mikemcg0 for joining us!

[DeFi Dad ⟠ defidad.eth @DeFi_Dad]

Alchemix V3 just created a new fixed-yield primitive.

Eg. alUSD at 98 cents + 2-month redemption = 12% annualized yield. Guaranteed if you can wait 2 months.

@scupytrooples calls it something between a stablecoin and bond.

Take a look at @AlchemixFi V3 in the new @Edge_Pod!

[DeFi Dad ⟠ defidad.eth @DeFi_Dad]

There are fewer protocols I'm interested in rn, but @AlchemixFi V3 is top of my list with a new fixed-yield primitive paired with self-repaying loans at 90% LTV (aka 10x looping).

Once Transmuter and vault deposit caps are raised, these Fixed-Yields should have more capacity.

[cvxv666 @antpalkin]

Chinese quant built a perfect BTC price simulation engine with MiroFish

In a single trade, he turned $2,000 into $166,000.

7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket.

His wallet: https://t.co/G1EyL2Vjnq

His algorithm instantly detects any mispricing in crypto markets and enters trade immediately.

$350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else.

He’s using closed order book data + private OTC desks. Already elite alpha.

Then the real magic happens: 10,000 simulation cycles of how the market will react.

On April 24, he was only one who knew the market was wrong.

He entered a trade with just a 1.3% implied probability of execution.

This isn’t "guessing where the chart will go"

This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data.

Want to learn how to build something like this? Save the post and read the article.

If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot: https://t.co/vbDZyVcfT3

[lynk @lynk0x]

Trading is like building your own money printer.

Once you master it, you can print for life.

[𝖘𝖊𝖗 𝖈𝖍𝖆𝖗𝖌𝖊⚡️ @sercharge]

Energy Web's Verified Compute Cloud enables $EWT token holders to stake their tokens and provide compute for real world business logics.

Sustainable Aviation Fuel (SAFc) Registry pool is LIVE.

Whats unique here is that rewards are paid in $USDC

https://t.co/nVlU4aBl9D

[𝗗𝗥𝗘𝗔𝗗 𝗕𝗢𝗡𝗚𝗢 @DreadBong0]

This was all done on Subnet 17 using @404gen_

$TAO

[Protocol wars (🔮) - (e(Kween)/acc) @Protocol_Wars]

Ripple in Homeland Security Doc | BIS XRP SOL | Algorand XChain | Canton... https://t.co/Yl7Cu0NyJF via @YouTube

@IOV_OWL

[Shelpid.WI3M @Shelpid_WI3M]

My roommate works at a coffee shop. $15 an hour. 36 hours a week.

Last Tuesday he came home and said he’d saved up $500 and wanted to put it somewhere.

I told him the truth: “I don’t know. I lost money on stocks last year. I’m not the guy to ask.”

He sat down next to me, opened Claude on his laptop, and typed: “I have $500 in savings. I can’t afford to lose it, but I need it to grow. What do people with small money do that people with big money don’t?”

The answer caught both of us off guard.

People with large capital compete on speed and scale.
People with small capital have one edge: they can go where no one else bothers to look.

Half-cent events.
$5 bets that can pay $2,500.
Big funds can’t deploy $5.
You can.

Then it added:
“Someone is doing exactly this right now. Look up planktonXD.”

We did.

planktonXD.
$101,030 in profit.
79,499 predictions.
Joined February 2025.

Seventy-eight thousand bets.
Most between $4 and $25.
Most go to zero.

But the ones that don’t…
$4.55 on the S&P 500 opening direction.
Payout: $2,531.
ROI: 55,545%.

→ Wallet: https://t.co/JEabDDp0lV

My roommate stared at that line for a while. Then said:
“He bet four dollars and fifty-five cents… and made two and a half thousand.”

I asked for the math.

Imagine 100 events priced at one cent.
You put $5 on each - $500 total.
97 lose - you’re down $485.
Three hit - each pays $500.
You collect $1,500.
Net profit: $1,015.

Why does it work?
Because crowds overprice what’s likely and underprice what’s possible.

planktonXD didn’t find three.
He found hundreds.
Again and again.
For 14 straight months.

$101,030.
From bets most people would laugh at.

That same night, my roommate put in $50.
Copied six positions under one cent.
I told him most would die.

He said:
“If one hits like that S&P trade, that’s a month of rent from a coffee shop shift.”

He still works at the coffee shop. Still makes $15 an hour.
But now he checks his phone on breaks for a different reason.

79,499 predictions.
Bio still says: having fun.

The market doesn’t care what you earn.
It only cares about the price of things no one else wants to buy.

I asked one last question:

“What do you call someone who bets $4 and makes $2,500?”

Patient.
Everyone else just calls them lucky.
That’s why the edge still exists.

[Shelpid.WI3M @Shelpid_WI3M]

Yesterday I lost my job.

No savings. Rent already due. Zero plan.

Most people would panic.

I opened Claude.

Instead of asking for advice, I gave it a task:

“Break down the top Polymarket wallets from the last 90 days. Find patterns. Build something from it.”

What came back wasn’t just data.

It identified 7 traders who weren’t guessing.
They had a repeatable edge.
Then it built an autonomous agent around them.

Not a basic bot.
Not rules or scripts.

An agent that:

> Reads live news in real time
> Maps events to prediction markets
> Detects mispriced outcomes
> Executes arbitrage instantly
> Sizes positions using Kelly

I deployed it at 10:34 PM.

No tweaking.
No babysitting.
Went to sleep.

Woke up to this:

$25 → $4,302
102 trades. Fully automated.

No emotion.
No hesitation.
No overthinking.

This is what matters now:

Speed > opinion
Data > instinct
Execution > everything

The edge isn’t information anymore.
It’s how fast you act on it.

And tools like this are no longer reserved for funds.

They’re sitting behind a $20/month paywall.

I’m sharing exactly how I set this up for the next 24 hours.
If you want it:

Reply “Claude”
Like + repost
Follow @Shelpid_WI3M (I’ll send it directly)

[Shelpid.WI3M @Shelpid_WI3M]

A Chinese PhD student accidentally exposed a $4.5M sports arbitrage machine while trying to flex a $50K-a-month AI side hustle.

He had ten iPhones plugged into one laptop, all controlled by Claude.

One agent per phone. Ten separate social accounts posting, replying, commenting, farming affiliate links 24/7. The laptop was the brain. The phones were the hands. No human at the desk.

He dropped a 25-second clip and wrote: specialized Claude Code for making money \ easily scale past $50K a month. AI automated affiliate is a blue ocean.

Dev Twitter exploded. 180K views in a day. Everyone asking for the CLAUDE.md file. Everyone trying to copy the setup.

But people noticed something he didn’t mean to show.

Freeze the video at 0:06 and look at the second window on the laptop.

That wasn’t a social dashboard. It was an arbitrage log. $824,691 staked. $2,288,844 returned.

Account 432614799197. $4,526,176 profit. 4,548 predictions. Joined January 2026.

→ https://t.co/JEabDDp0lV

The same machine running the phone farm was also running a live sports arbitrage engine. PSG losing. Bills vs Jaguars. Real Madrid. Aston Villa. Stade Rennais. Six-figure positions. Every result green.

The comments became a detective thread. Someone slowed the video to 0.25x. Someone pulled the account name from the dashboard. Another traced the wallet on-chain and posted the full profit curve.

4,548 predictions. All sports. Across six leagues NFL, Premier League, Champions League, La Liga, Ligue 1, NHL.

Biggest single win: $1.5M. One match.

The social farm wasn’t the product. It was camouflage.

The real bot tracked Asian bookmaker lines moving 2–3 hours before Western markets adjusted. Shanghai moved before London. Beijing moved before New York. By the time U.S. traders logged in, the gap was gone. Claude was capturing it while the phones farmed affiliate clicks on autopilot.

The ten phones made him $50K a month.
The laptop could make that in one match.

He deleted the video within hours. Too late. It had already spread across Discord, Telegram, and dev forums. Someone in his lab even recognized the repo name from an earlier screen share.

Before disappearing from Twitter, he pinned one final reply:

The market doesn’t know what timezone you’re in. Use that.

Everyone is copying the phone setup.
Very few realized the phones were the distraction.

[PolymarketHistory @PolymarketStory]

Someone turned $11 into $9,000 on Trump dancing on Polymarket

That’s an 800x. On a dance.

One dance printed more than your salary

[Coinfessions @coinfessions]

Could've retired many times over had I put money to the side, but instead I stayed and gambled away 7 figures. I've lost more money in a day than anyone else in my family will ever make for the rest of their lives.

[Coinfessions @coinfessions]

What do I even do from here?