Anthropic shows this video to every new employee. Someone re-uploaded it.
I hope Anthropic doesn't see this.
14 minutes of how the Claude team actually uses Claude in real work.
I watched the recording last night and kept pausing it. Each time realizing I've been using Claude like a toy.
claude.md + loops is what makes Claude stop fighting you and start working for you.
Most people will keep using Claude the hard way.
Anthropic engineer:
"You're not supposed to prompt Claude. You're supposed to build a system that prompts itself."
this is one of the best workflows I've seen in a long time
in this video he breaks down exactly how most people are using Claude:
- the 14% you lose to CLAUDE.md before typing a word
- the plugins that 95% of users have never installed
- the caching setup that keeps it at 95% hit rate and almost free
- why starting every chat from zero is the slowest way to use Claude
if you've been using Claude for more than a month and never left the chat window, you've been using one project when you could be running a team of them
instead of another show tonight, watch this
make sure to bookmark it before it gets lost in your feed
full guide in the article below
🚨 A junior at Jane Street reportedly landed a $220K–$600K role because he used AI to analyze trillions of data points faster than most teams ever could.
In this 1-hour lecture, he breaks down the exact system behind it:
• how he researches massive datasets
• how AI finds patterns humans miss
• how his machine turns raw data into decisions
• how you can apply the same thinking yourself
Skip Netflix tonight.
Watch this instead.
One hour could completely change how you think about research, AI, and opportunity.
ANTHROPIC'S OFFICIAL TEAM just showed the correct way to use Claude Code.
30 minutes.
free.
the main speaker built Claude Code himself.
not a tutorial from someone who read the docs.
the actual engineer who wrote it.
most people paying hundreds for AI courses still don't know half of what's in this session.
40 practical prompts Claude has been hiding from you.
the workflows the core team uses internally.
how to actually get Claude Code to do what you want instead of what it thinks you want.
bookmark this before you forget.
you use Claude every day.
you're probably still leaving 80% of it on the table.
follow @cyrilXBT — i find the resources that actually move the needle so you don't have to.
@KOSASI_NAKAMOTO DAI is still an option, even though Sky Protocol (formerly MakerDAO) has rebranded to USDS. As a matter of fact, DAI currently has over 663k holders compared to 62k for USDS, and records a daily trading volume of $76m over USDS' $17m.
🚨 Anthropic's own team just showed how to actually use Claude Code properly.
30 minutes. free. the person who created Claude Code.
watch the workshop. bookmark it.
worth more than every $500 course you almost bought.
you've been using Claude without knowing 40 of its commands.
Then read the guide below.
Keak is now insane
A CRO agent that increases your conversion rate:
- Scans your website
- Generates variations that improve your CVR
- Implements them for you
- Learns from the results
Click on the image to book a demo 👇
Tools for the 100x Solo Founder
For decades, company size has been dictated by coordination costs. If you wanted to grow revenue, you hired people. More customers meant more support reps. More revenue meant more finance and ops. Scale meant headcount.
AI is starting to break that relationship.
At @speedrun, we’re interested in startups building tools that allow a single founder to operate what would previously have required entire teams.
Today’s models have an ever-growing list of new capabilities. They can write production code, reconcile financial statements, run outbound campaigns, manage customer support, and reason over operational data. The constraint is no longer task capability. It’s whether these systems can be orchestrated reliably enough to replace entire business functions.
Here are a few concrete examples of what this could look like in practice:
• An AI-native finance stack that reconciles transactions in real time, manages payables and receivables, forecasts cash flow, and ensures compliance - without a human bookkeeper.
• An autonomous revenue engine that sources leads, runs outbound, manages CRM state, handles inbound qualification, and drives renewals - accountable to pipeline and revenue.
• An AI-operated supply chain for SMBs that forecasts demand, manages inventory, and coordinates logistics.
The defining feature is control. These systems should have direct access to operational surfaces - bank accounts, CRMs, inboxes, ad platforms, inventory systems - and be trusted to act. They should not just recommend actions but execute them, measure outcomes, and improve over time.
If AI meaningfully reduces coordination and execution costs, the minimum viable company shrinks.
If you’re interested in building software that enables one person to operate at the scale of many, we’d love to talk to you!
Anthropic pays engineers $750,000 a year to understand how AI models actually work.
Stanford just put the same knowledge on YouTube.
2 hours. Completely free.
This is the lecture that teaches you what most AI courses skip entirely.
Not how to use the tools.
Why they work the way they do.
The engineers who understand the why build things the people who only know the how cannot even conceive of.
The gap between those two groups is $750,000 a year.
You can close most of it in an afternoon.
Bookmark this before you scroll past it.
Watch it this weekend.
Not eventually.
This weekend.
Introducing @siriusai. AI retention model.
We’ve proven that trust is more profitable than friction. Since August, we’ve helped companies like Promova generate millions in revenue.
Comment Sirius to get an exclusive look at the platform ✨
Total Global Liquidity is rising
Global M2 is rising
US Total Liquidity is rising
US M2 is rising
China Total Liquidity is rising
ISM is rising
Try not to over think it.
noticing a trend of startups replacing standard resumes/interviews with week-long (or at least 3-day weekend) in-office trials. Makes sense in a world of AI-generated resumes and interview responses
Turns out the best signal for whether someone can do a job is watching them actually do the job. took us 100 years of HR to rediscover apprenticeships!!! 😂
The cypherpunk dream has nowhere to go, except maybe Ethereum
Our CEO @EvgenyGaevoy on why @ethereumfndn is ahead of the curve for the first time, and why @ethereum might be the only blockchain still publicly committing to its cypherpunk origins
His opinions with @_choppingblock ↓
the "AI wrapper" critique assumes the wrapper is the easy part
But being the wrapper also includes figuring out:
- getting distribution without paying infinite CAC
- creating an amazing UX that's AI native, not derivative
- building a brand, trust in a very noisy landscape
- creating an ecosystem/community
- generating network effects
- making customer service great
- ... plus pricing, hiring, raising money, and everything else
these are not easy!