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[Martin Varsavsky @martinvars]

Nunca fue tan fácil diseñar la casa de tus sueños.

[Vikas Singh @vikas_ai_]

Claude FULL COURSE 1 HOUR (Build & Automate Anything)

[Liz Morton ~ Value Added Resource @ValueAddedRS]

$EBAY $GME Interesting...

[Miles Deutscher @milesdeutscher]

Claude Code can now connect to financial datasets in seconds.

Prompt for financial research, company data, access to 17,000+ stocks, and much more.

Here's how to connect in just 60 seconds:

1. Open Claude Code and paste:

"claude mcp add --transport http financial-datasets https:// mcp. financialdatasets. ai/"

2. Authenticate

Type:

"/mcp" inside Claude Code and complete the OAuth flow in your browser.

You can verify the server is connected at any time:

"claude mcp list"

2. Start prompting

Example prompts:

“What is Apple’s current P/E ratio and market cap?”

“Show me Tesla’s income statement for the last 4 quarters.”

“How has Bitcoin’s price changed over the past year?”

3. Help

If you run into errors, just ask Claude to help you by scanning the official docs here: https://t.co/6yP8VlEa8H

[Santi Torres @SantiTorAI]

🚨 Karpathy acaba de soltar 40 minutos de oro sobre agentes IA en 2026.

Qué aprender, qué construir y qué tirar antes de que te hunda.
El 90% de las herramientas actuales no van a sobrevivir 90 días.

El filtro ya está hecho. Gratis.

[Radha Tripathi @Radha_AI]

A man spends 50 years teaching at MIT.

He knows his time is running out.

So he records one last lecture — everything he knows, distilled into a single hour.

He died 5 months later.

This is that lecture.

The most important hour you'll watch this week. 👇
Bookmark it for later

[cvxv666 @antpalkin]

A 35-year-old marketer from Hong Kong quit his job and got deeply into AI. Using Claude, he made $360,000 in just one month.

He built a perfect BTC price simulation engine with MiroFish.

Claude as algorithm’s brain + MiroFish simulation engine allowed him to earn $5,000-$15,000 in profit per trade.

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

He left a funny easter egg about his previous profession in his Polymarket nickname - he called himself Marketing101.

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

$366k 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.

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 success trade, starting copy every one of his trades right now using this TG bot: https://t.co/vbDZyVbI3v

[Ruben Hassid @rubenhassid]

How to duplicate yourself into Claude in a weekend:

(even if you've never written a prompt before)

1. Download the desktop app.
☑ Go to claude .com/download
☑ Set Opus 4.7 as default
☑ Turn ON Extended Thinking

2. Open Cowork mode.
☑ Cowork = where your voice lives
☑ Click the top left tab
☑ Create your "Voice" folder inside

3. Install Wispr Flow (it's free).
☑ Turns your voice → text
☑ Voice = faster and more honest
☑ Typing kills the truth.

4. Run the interview.
☑ Paste Prompt 1 from https://t.co/LyV7feh2TK.
☑ 100 questions, 7 categories
☑ Push past every vague answer

5. Compress the dump.
☑ Paste prompt 2 from https://t.co/LyV7feh2TK.
☑ 20K words → 4K tokens
☑ Save as [your_name] .md

6. Test it in a blank chat.
☑ Open a fresh Claude chat
☑ Run a prompt only you would write
☑ If it sounds like you → ship it

7. Drop it into Cowork.
☑ Move [your_name] .md into your folder
☑ Claude now reads it on every turn
☑ Every draft = your voice, automatically

8. Port it everywhere.
☑ Upload to ChatGPT, Grok, Gemini
☑ Same file = same voice in every AI
☑ Hand it to your team or ghostwriter

9. Edit it forever.
☑ Install Obsidian (free)
☑ Open Cowork as a vault
☑ Update as your taste shifts

Full guide + prompts at https://t.co/LyV7feh2TK.

(save this to clone yourself into any AI)

[Milk Road AI @MilkRoadAI]

Chamath Palihapitiya just laid out the most important valuation question nobody on Wall Street wants to answer.

For 20 years, the Mag 7 won because they had the greatest business model ever invented, asset- ight software.

You write the code once, you sell it to a billion people, the marginal cost of the next customer is basically zero.

There is essentially no factories, no raw materials, no union workers, no physical infrastructure, just pure leverage, scale the revenue, barely scale the costs.

That's how you get 30x, 50x, 60x earnings multiples and the market was paying for compounding economics that had no natural ceiling.

But AI just blew that model up.

The hyperscalers, Amazon, Microsoft, Google, Meta are now projected to spend between $600 and $725 billion on capex in 2026 alone, up from $250 billion just two years ago.

That number is climbing, not plateauing and it's not just the chips and the data centers, it's the energy contracts underneath all of it.

When Microsoft re signed Three Mile Island, they locked in a 20 year forward purchase agreement at more than $100 per megawatt hour nearly double the prevailing spot rate of $60 for wind and solar in the same region.

That's a long term liability commitment baked into operating cash flows for two decades.

Here's where Chamath's math gets uncomfortable.

These five or six companies are now collectively spending so much that their capex has exceeded their free cash flow meaning they can no longer self fund growth from operations alone.

In 2025 alone, hyperscalers raised $108 billion in new debt and projections put the total debt issuance over the next few years at $1.5 trillion.

These are companies that, for two decades, were net cash accumulators and now they're going to the debt markets like everyone else with term loans, revolvers, and structured credit facilities.

That's Chamath's core point and it's a devastating one for anyone still modeling these companies the old way.

When a company is asset light, investors pay a premium for that lightness and the multiple reflects the belief that returns on capital will stay high indefinitely, because there's no heavy physical plant dragging them down.

But when Google starts looking like a utility locked into 20-year energy contracts, carrying hundreds of billions in debt, spending half its revenue on physical infrastructure, the rational multiple compresses.

You don't price a utility at 30x earnings, you price it at 12x.

His conclusion is that stop trying to value the hyperscalers themselves and follow the money instead.

A trillion dollars a year is flowing out of these companies into power companies, data center operators, chip manufacturers, cooling systems, fiber networks, rare earth metals.

The companies on the receiving end of that spending are already underpriced because the market is still staring at the senders while ignoring who's cashing the checks.

The asset-light era minted the most valuable companies in human history and the asset heavy era that's replacing it might be the best argument yet for owning everything around them instead.

[Avid @Av1dlive]

Andrej Karpathy : 10x engineers are normal. real agentic engineers are 100x

this guy just shipped the playbook to become 100x

context engineering. tool design. orchestrator-subagent. evals. the harness mindset.

watch & bookmark it for this weekend

[Mr. Buzzoni @polydao]

1 HOUR WITH KARPATHY. SAVE THIS BEFORE YOU OPEN CLAUDE CODE TODAY

AI agents that improve themselves without a human in the loop
that's where Claude Code is heading

Karpathy explains what's coming 👇

[Om Patel @om_patel5]

SOMEONE BUILT A SINGLE CLAUDE.MD FILE THAT FIXES EVERY BAD HABIT CLAUDE CODE HAS AND IT HIT 78.5K STARS

it's based on andrej karpathy's public observations about how LLMs write code

the problem he pointed out is that claude makes silent assumptions, overcomplicates everything, writes 1000 lines when 100 would do, and sometimes deletes code it doesn't fully understand as a side effect

so forrestchang turned karpathy's critique into 4 behavioral principles and dropped them in one claude.md file:

1\ surface your assumptions

don't pick an interpretation silently. if there are multiple ways to read the task, say so. if uncertain, ask. push back when something doesn't make sense instead of just running with a bad plan

2\ minimum viable code

no speculative features, no abstractions for single use code, no "flexibility" you weren't asked for.

if you wrote 200 lines and 50 would work, REWRITE IT. ask yourself if a senior engineer would call this overcomplicated

3\ surgical changes only

don't touch code you don't fully understand, don't refactor unrelated stuff as a side effect, don't delete comments because they look unnecessary. only change what the task actually requires

4\ goal driven execution

give claude success criteria instead of step by step instructions.

karpathy's exact quote: "LLMs are exceptionally good at looping until they meet specific goals. don't tell it what to do, give it success criteria and watch it go"

one file has 78.5k STARS AND 7.4k FORKS on a single github repo.

install is one curl command that drops it straight into your ~/.claude folder

[Nainsi Dwivedi @NainsiDwiv50980]

This 2-hour Andrej Karpathy lecture will teach you how to build a Neural Network from scratch — better than most engineers at top AI companies will ever bother to learn.

No frameworks. No libraries. Just pure code and math.

This is the same guy who built Tesla's Autopilot and co-founded OpenAI.

He recorded it for free on YouTube.

Bookmark this. Give it 2 hours.

It'll be the most productive thing you do this week. 👇

[Mindset Machine  @mindsetmachine]

Alexandr Wang (World's Youngest Billionaire) on how to get ahead of 99% of people

[0xMarioNawfal @RoundtableSpace]

ANTHROPIC PAYS $750,000 A YEAR FOR ENGINEERS WHO UNDERSTAND WHY AI WORKS.

STANFORD JUST PUT THE SAME KNOWLEDGE ON YOUTUBE FOR FREE.

WATCH IT THIS WEEKEND. NOT EVENTUALLY. THIS WEEKEND.

[Avid @Av1dlive]

In 1 hour 49 minutes, a Stanford lecture on LLM agentic systems will teach you more about

building AI agents right than every Twitter thread on agentic AI combined.

Bookmark this for the weekend. Watch it twice.

Then read the full agentic stack breakdown below.

[Viktor Oddy @viktoroddy]

CLAUDE DESIGN FULL 1 HOUR COURSE

❤️‍🔥Just Recorded a Full Course on How To Build Interactive Animated Website with AI.

Bookmark this before you forget.

[Phosphen @phosphenq]

This 2 hour video by Andrej Karpathy (co-founder of OpenAI) will teach you more about using LLMs than every AI tutorial you've watched this year combined.

Bookmark & watch tonight, it will change the way you use AI forever.

[Himanshu Kumar @codewithimanshu]

The Head of Claude Code at Anthropic hasn't written code by hand in months.

In 2 days he shipped 49 full features. 100% written by AI.

He just dropped a 30-minute talk on exactly how he does it.

More valuable than any $500 vibe coding course. Bookmark it.

[Charly Wargnier @DataChaz]

ANTHROPIC LITERALLY JUST HANDING US THE BLUEPRINT🤯

Their new 33-page guide on Claude Skills is the cheat code.

Make sure to bookmark this before it gets lost in your feed.

Link in 🧵↓