A 19-year-old American student built a trading bot with Claude Code in 2 days.
Used his iPad as a second monitor.
First night: $6,732 profit.
Starting capital: $68.
Total profit so far: $750,000.
Here's how it works:
The bot scans over 50 markets simultaneously.
Syncs live BTC data from Binance every second.
Spots price errors before humans even notice.
The edge is pure speed + pattern recognition.
While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets.
No guessing.
No emotions.
No hesitation.
Just Claude Code logic finding gaps that close in seconds.
He built the entire system in 48 hours:
→ Claude Code handles the trading logic
→ Binance API feeds real-time BTC data
→ iPad displays multi-market monitoring
→ Executes trades when arbitrage windows open
The system runs 24/7.
Every price dislocation = profit opportunity.
Most people are still trading manually, refreshing charts, second-guessing entries.
Meanwhile this 19-year-old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear.
Why are people still trading manually?
�� I'm giving away the exact Claude Code setup for free.
24 hours only.
To get it:
1️⃣ Comment "Fable"
2️⃣ Like and Repost
3️⃣ Follow @CodebyNihan
I'll DM you the complete setup.
Creator of Claude Code:
“I’m not prompting my agents anymore. I’m building "graphs" and "loops" - they’re building my agent.
in 3-6 months, we’ll all be doing graph engineering for our agentic systems.”
in 10-minute talk, Boris Cherny revealed what the future of agentic engineering will look like.
worth more than a $500 agentic AI course.
Watch it today, then read the full roadmap in the article below.
This was reported in the press back then. We all knew it. Including Republican Congressmen and Senators. And yet, they let it happen.
We have a country filled with cowards as public servants and traitors.
If they won’t stand up for the Constitution, things will get bad. For them too.
Sam Altman (CEO of OpenAI):
"You no longer need to write prompts."
In just 38 minutes, he explains how to use ChatGPT at a level that most people can't even imagine.
It's a talk he gave to Stanford students. A friend sent me the recording last night.
After watching it, I realized I was only taking advantage of about 15% of what this tool can really do.
Watch it in full and then read the guide I leave below on how to create a system that prompts itself.
Follow @AnishJaitwar for more
YOUR SECOND BRAIN IS DEAD.
Obsidian is just folders with lines.
This one already has 1,615 files forming a living neural network that expands, connects, and fires in real time.
Watch the graph grow.
Every new note, task, or memory creates new pathways automatically. No manual linking. No static maps. No dead storage.
It doesn’t wait for you to open a file.
The system already holds the context and keeps building connections while you sleep.
This is the difference between storing knowledge and running a brain that actually thinks with you.
Workflow is right under this post.
this is f**king insane.
Jack Dorsey just open sourced a free tool for running a one-person business.
the GitHub repo already has 14.4K stars.
It lets you:
→ run your own server
→ keep chat, search, Git, and automation in one place
→ add AI agents that work like teammates
→ decide exactly what each agent can do
no monthly subscriptions.
just you, your AI agents, and full control.
this is where one-person businesses are headed.
save this for later.
i genuinely can't understand why this isn't the first thing every claude user builds...
anthropic quietly shipped a folder system where claude loads specialized instructions on its own based on what you ask. no prompt engineering after setup. almost nobody uses it
here's how it actually works...
you drop a folder into your skills directory. inside: a SKILL.md that says "trigger this when the user asks about X". claude reads the description once at startup. next time you ask about X, it silently pulls in the whole skill - custom instructions, scripts, examples - like a specialist walking into the room
1. skill for your writing voice - loads only when you draft, never when you analyze
2. skill for your codebase conventions - loads only when you edit that repo, not others
3. skill for your accounting flow - loads only when you say invoice, receipt, or expense
your context window stays empty until you need it. one claude behaves like 30 different specialists in one chat and you never manage the switching
full breakdown in the article below
i test things like this on myself and share the results. follow @0xkkai if you want to see what's next
Anthropic just released the biggest MCP update yet. Here is what your agents can do now
MCP is the standard that lets a model use tools it does not own. Instead of writing a wrapper for every service, you connect a server once and the tool becomes something the agent can operate directly.
It is why Claude can touch your Drive, your repo, your tickets. 400 million SDK downloads a month, up four times this year.
What changed today:
> The protocol went stateless. A server is now a plain HTTP endpoint instead of a live session, so it runs on serverless and costs almost nothing while idle.
> Long jobs and interactive interface moved into versioned extensions, so they can evolve without breaking the core.
> Auth now speaks production OAuth and OIDC.
What that unlocks:
> An agent can start a job that takes an hour, disconnect, and collect the result later. Before this you held a connection open or invented your own handshake.
> A person can approve or choose in the middle of a run, in the conversation, instead of the agent stopping dead.
> Internal tools become reachable without a public endpoint, a firewall rule or an IP allowlist.
Bookmark this
this is f**king insane
a free github repo by Jack Dorsey (Co-Founder of Twitter) with 14.4K stars just dropped the entire "ai-agent" framework for running businesses
here is how you set it up:
1.clone the repo
2. self-host the server : channels, search, git, automation all live there
3.add your agent to a channel like a teammate, scope its key, let the team steer it live
save and bookmark this no matter what
REVEALED: Here Are the Mainstream Journalists on China’s Payroll 🚨
I exclusively uncovered the identities of prominent U.S. journalists flown to China by a CCP-linked influence operation seeking “favorable coverage” and “positive messages” about Beijing. 🧵
WAIT... WHAT!!
Anthropic burned $3 million and 30 months running AI agents against real tasks in real companies and published everything in 12 pages and the people who read those 12 pages this week are going to make decisions about how they build and work that are fundamentally different from the people who scroll past it thinking they already understand what AI can do.
1,287 real tasks. 2.4 million lines of code. AI outperforming humans on their own projects. 63% of routine work automated. Engineer output multiplied three times with the right memory and the right cycles.
Someone paid $3 million so you could read that for free and most people are going to bookmark it and never open it again which is the most expensive free resource in the history of AI research.
But here is the gap that the 12 pages do not close.
Knowing that the right system multiplies output three times and knowing how to build that system are two completely different things and the second one is where everyone gets stuck and stays stuck while the people who figured it out quietly operate at a different level.
My article is the bridge between the $3 million research and the actual system build and it is the thing you read immediately after you bookmark those 12 pages.
Do not let this be another thing you meant to act on.
Full guide below.
Met a guy making $1.1 million a year as an agents engineer at Google Cloud.
Asked him how he gets agents 20x better without changing the model.
He sent me the exact thing he uses himself. A repo he open-sourced 2 days ago.
You won't find anything better about harness engineering, in the open.
Cloned it and pointed my agent at it last night.
Ryan Lopopolo. Google Cloud engineer.
'harness-engineering' - anthology + field guide + agent context bundle. You reference his docs from your CLAUDE.md.
633 stars. 48 hours old. MIT.
-> https://t.co/AOykHplNNX
bookmark this before it gets lost.
One day people will look back at this brilliant speech by @StephenM and see it was a turning point. Only America has the will to restore beauty and order and normalcy, and if it happens it will be thanks to statesmen like this