const

Building on @HyperLiquidX | Quasar 🤫⏰

[const @constchain]

Quasar is hiring 🌌

We're building the early-warning system for Hyperliquid — real-time on-chain risk, one score, before the cascade hits.

We're looking for:
⚡ Affiliates — active Hyperliquid users with an audience to share Quasar with
🛡️ Mods — active, reliable people to help run the community
Pre-launch, early, and building fast. If that's you 👇
DM us / apply: https://t.co/4gDyX4InY8

Read the pulse. Catch the cascade.

[MoonPay 🟣 @moonpay]

whoops accidentally launched the most viral new Crypto x AI product of 2026

we see all of your comments about PayBox and appreciate the support

we'll be back in action very soon

moon that

[MoonPay 🟣 @moonpay]

holy shit we broke Claude

[const @constchain]

@moonpay you guys are crazy

[Liminal Intern @InternLiminal]

Escape velocity reached

Hyperliquid.

[The Ghost.HL🇦🇱 @theghost_alb]

$HYPE buybacks & burns 2026/07/04 - $878 300

Hyperliquid

[Oracle Boar @bored2boar]

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket.

One rule: trade only when YES + NO < $1

Deposited $100 to test it.

> in 2 hours it almost doubled it (+$96.31)
> in 5 hours it showed +$579 PnL
> current balance: +$3,799.73

Cost: 10M tokens.

Here's how it works and why:

Every BTC Up/Down market on Polymarket has exactly two outcomes.

YES and NO.

When the market resolves, one pays $1.
The other pays $0.

That means owning BOTH sides should always cost exactly $1.

But markets aren't perfect.

Sometimes YES trades at $0.48 while NO trades at $0.49.

Together that's only $0.97 so the bot instantly buys both.

A position worth $1... for just $0.97.

And Claude knows it, this is the simplest arb that exists.

You can paste this to it and use this logic in your prompt.

This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways.

No prediction required.

And difficult part isn't finding the opportunity, it's execution.

These pricing gaps usually disappear in seconds.

If one order fills but the other doesn't, the trade can become a loss.

So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk.

It's less like trading and more like catching tiny accounting mistakes before everyone else notices them.

Funny enoughh, the hardest part was not writing arb logic.

It was making the execution reliable enough that free money actually stayed free.

This completely changed how I think about trading.

What's the point of it if you can just fill mispriced BTC markets??

Automatically.

The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could.

Shared the exact build in my last article, leaving it below.

Good luck!

[0xMarioNawfal @RoundtableSpace]

This guy used Claude Fable 5 to improve a Polymarket quant bot that has made $288,872 since April 30. It averages $6,878 in daily profit running around 30 trades per hour across short-term Bitcoin up and down markets, with a 56% win rate across 30,670 predictions in 42 days.

Started with a $54,300 deposit and sitting at 531.8% ROI.

The strategy is simple. Wait for short-term pricing to deviate from fair value, enter before the board readjusts, and repeat the same setup at scale. The edge isn't in one trade, it's in running the same process thousands of times.

[fomo @fomo]

Perpetuals are now live on fomo, powered by @HyperliquidX and @tradexyz.

Equity, pre-IPO, crypto, indices, and commodities perps, all from one app.

See you on the leaderboard. Trade perps on fomo today.

[Security Alliance @_SEAL_Org]

We’re proud to welcome @HyperFND as our newest Platinum Donor.

With this support SEAL can do more emergency response, more threat intelligence, &amp; more protection for the entire ecosystem.

[const @constchain]

AI.

[Future Stacked @FutureStacked]

A Claude Code trading bot built by a 19-year-old Japanese student turned $68 into $750,000 by finding price errors across 50 markets.

[0xMarioNawfal @RoundtableSpace]

A 19-year-old Japanese student built a Claude Code trading bot that turned $68 into $750,000 finding price errors across 50 markets.

[lynk @lynk0x]

When you try to predict the market.

The market:

[const @constchain]

Built by a team of 5 passionate about DeFi, dedicated to deliver the best product for NFT collectors and traders.

3/3

#Hyperliquid #HyperliquidX #NFT hyperliquid:native

[const @constchain]

@omeragoldberg @chaoslabs Jejzjshd

[const @constchain]

@FluffCatto use https://t.co/mLIxka8aOw