HJ

Crypto Enthusiast #Bitcoin
⚡️ [email protected]

[HJ @VeteranHT]

@farman4x 5

[HJ @VeteranHT]

@miradreaamy 32

[HJ @VeteranHT]

@Rager I had same problem with nano s. Luckily I managed to replace the display. Not difficult once you find right display.

[CyrilXBT @cyrilXBT]

Anthropic engineer:

"You're not supposed to prompt Claude. You're supposed to build a system that prompts itself."

In 26 minutes he shows exactly how to do it from scratch, step by step.

Most people are still doing all of this by hand.

Watch the session, then save the guide below.

[CyrilXBT @cyrilXBT]

https://t.co/pIklNA81zb

[0xNobler @CryptoNobler]

🚨 HERE'S WHY BITCOIN IS DUMPING RIGHT NOW

Bitcoin no longer trades like a supply-and-demand asset.

What you're seeing right now is NOT normal.

It's not "weak hands."
It's not sentiment.
And it's definitely not retail selling.

If you hold crypto today, you MUST read this:

This decline didn't start just now.

It's been building quietly beneath the surface for years.

And now it's accelerating.

Here's the reality:

The moment supply can be synthetically created, scarcity disappears.

And when scarcity disappears, price stops being discovered on-chain and starts being dictated by derivatives.

That is exactly what happened to Gold and Silver.

And now it's happening to Bitcoin.

The original Bitcoin thesis is broken.

Bitcoin's valuation was built on two foundations:

→ A hard cap of 21 million coins
→ No rehypothecation

That framework ended the moment Wall Street layered on top of the chain:
→ Cash-settled futures
→ Perpetual swaps
→ Options
→ ETFs
→ Prime broker lending
→ Wrapped BTC
→ Total return swaps

From that point forward, Bitcoin supply became theoretically INFINITE.

Not on-chain.

But in price discovery, which is what actually matters.

Synthetic Float Ratio (SFR).

The metric that explains everything.

Once synthetic supply overwhelms real supply, price no longer responds to demand.

Wall Street can now trade against Bitcoin.

They're not guessing direction.

They're doing what they do in every derivatives-dominated market:

1⃣ Create unlimited paper BTC
2⃣ Short into rallies
3⃣ Trigger liquidations
4⃣ Cover lower
5⃣ Repeat

This isn't "speculation."
It's inventory creation.

They've effectively transformed Bitcoin into a market where supply can be created on demand.

And they literally print their own Bitcoin out of thin air.

One real BTC can now simultaneously support:
→ An ETF share
→ A futures contract
→ A perpetual swap
→ An options delta
→ A broker loan
→ A structured note

All at THE SAME TIME.

That's six claims on one coin.

That is not a free market.

That is a fractional-reserve pricing system wearing a Bitcoin mask.

But that's only half the story.

The other side of this collapse is the AI bubble.

The largest liquidity magnet in modern market history.

For the last two years, capital has been sucked into ONE narrative.

AI → AI infrastructure → AI chips → AI data centers → AI software → AI everything

Trillions in market value were created almost overnight.

And every speculative dollar has a destination.

Money doesn't appear from nowhere.

Ignore it if you want, but don't pretend you weren't warned.

I've been calling Bitcoin tops and bottoms for over a decade, and I'll do it again in 2026.

Follow and turn on notifications before it's too late.

You don't want to miss my next call.

[HJ @VeteranHT]

@asherrkiinee 93

[Alvaro Cintas @dr_cintas]

Anthropic just launched its first official technical certification for AI architects.

It's called the Claude Certified Architect. A proctored, production-level exam that tests whether you can actually build and ship enterprise AI systems with Claude.

Here's what it covers:
→ Agentic Architecture & Orchestration 27%
→ Claude Code Configuration & Workflows 20%
→ Prompt Engineering & Structured Output 20%
→ Tool Design & MCP Integration 18%
→ Context Management & Reliability 15%

This is the difference between people who use AI and people who build with it.

The AI market has enough prompt users. What it needs now is architects.

Link: https://t.co/AaHben5Qc3

[Hasan Toor @hasantoxr]

🚨 This might be the most complete Claude Code setup on GitHub right now.

Built by an Anthropic hackathon winner.

Now it's free for everyone.

The repo comes with:

→ AI helpers that do the work for you
→ Skills you can use again and again
→ Tools that run on their own
→ Simple commands for hard tasks
→ Ready-made rules and connections

And they just added:

→ A way to manage multiple programs at once
→ Many AI helpers working together
→ 6 new commands

Most people build this stuff one piece at a time.

With this repo, you get it all on day one.

One download. Everything included.

(Link in the comments)

[Vishakha Singhal @vishisinghal_]

Most people think using Claude Code is about writing better prompts.

It’s not.

The real unlock is structuring your repository so Claude can think like an engineer.

If your repo is messy, Claude behaves like a chatbot.

If your repo is structured, Claude behaves like a developer living inside your codebase.

Your project only needs 4 things:

• the why → what the system does
• the map → where things live
• the rules → what’s allowed / forbidden
• the workflows → how work gets done

I call this:

The Anatomy of a Claude Code Project 👇

━━━━━━━━━━━━━━━

1️⃣ CLAUDE.md = Repo Memory (Keep it Short)

This file is the north star for Claude.

Not a massive document.

Just three things:

• Purpose → why the system exists
• Repo map → how the project is structured
• Rules + commands → how Claude should operate

If CLAUDE.md becomes too long, the model starts missing critical signals.

Clarity beats size.

━━━━━━━━━━━━━━━

2️⃣ .claude/skills/ = Reusable Expert Modes

Stop repeating instructions in prompts.

Turn common workflows into reusable skills.

Examples:

• code review checklist
• refactoring playbook
• debugging workflow
• release procedures

Now Claude can switch into specialized modes instantly.

Result:

More consistent outputs across sessions and teammates.

━━━━━━━━━━━━━━━

3️⃣ .claude/hooks/ = Guardrails

Models forget.

Hooks don’t.

Use hooks for things that must always happen automatically.

Examples:

• run formatters after edits
• trigger tests after core changes
• block sensitive directories (auth, billing, migrations)

Hooks turn AI workflows into reliable engineering systems.

━━━━━━━━━━━━━━━

4️⃣ docs/ = Progressive Context

Don’t overload prompts with information.

Instead, let Claude navigate your documentation.

Examples:

• architecture overview
• ADRs (engineering decisions)
• operational runbooks

Claude doesn’t need everything in memory.

It just needs to know where truth lives.

━━━━━━━━━━━━━━━

5️⃣ Local CLAUDE.md for Critical Modules

Some areas of your system have hidden complexity.

Add local context files there.

Example:

src/auth/CLAUDE.md
src/persistence/CLAUDE.md
infra/CLAUDE.md

Now Claude understands the danger zones exactly when it works in them.

This dramatically reduces mistakes.

━━━━━━━━━━━━━━━

Here’s the shift most people miss:

Prompting is temporary.

Structure is permanent.

Once your repository is designed for AI:

Claude stops acting like a chatbot...

…and starts behaving like a project-native engineer. 🚀

[NIJ Ruvos @nahidulislam404]

BREAKING: Claude can turn any skill you already have into a $4K a month income stream.

Here are 8 prompts to go from zero to consistent cash working just 15 hours a week:

Save this before it goes viral.

[Evan Luthra @EvanLuthra]

I literally can’t believe Anthropic released this for FREE.

A 33-PAGE CHEAT SHEET on how to master Claude skills.

Bookmark this or get left behind in AI: https://t.co/RIcsy4tWrN

[Simplifying AI @simplifyinAI]

🚨 BREAKING: Someone just turned your WiFi router into a full-body surveillance system.

it doesn't even use cameras.

It’s called RuView. It uses the WiFi signals already bouncing around your room to detect human poses, track breathing, and measure heart rates.

What it actually does:

→ Through-Wall Sensing: Sees through walls up to 5 meters deep.
→ Vital Signs: Tracks breathing (6-30 BPM) and heart rate (40-120 BPM) contact-free.
→ Local AI: The AI model fits in 55 KB of memory and runs locally on an $8 ESP32 chip.

You train it once, and you deploy it in any room.

100% Open Source.

[Dan Held @danheld]

Bitcoin vs the Fed.

[HJ @VeteranHT]

@damianplayer RALPH

[Damian Player @damianplayer]

https://t.co/54PVeStgnf

[Nonzee @0xNonceSense]

🚨 WHY PEOPLE DON’T USE GROK FOR CRYPTO.

Grok decodes real-time sentiment on X, predicting tomorrow's market movers.

In 2026, you either use AI to front-run the crowd or you become their exit liquidity.

Top 8 prompts to find your next x100:

[HJ @VeteranHT]

@CryptooIndia No surprise. Protecting their empire. Unfortunately people not knowing crypto are making decisions about crypto in India.

[HJ @VeteranHT]

@CryptooIndia CBDC uses blockchain but other than that it is INR only. What is point of having closed blockchain with few approved validaters? Why not use simple Database?

[HJ @VeteranHT]

@Mishi_2210 1050