i built a tool that lets me never work again in my life
it watches smart wallets on robinhood chain and finds the next runner before anyone else knows it exists
not joking
$100 → $2,640 in 41 minutes
STAMPEDE. it watches wallets on robinhood chain
the idea is stupid simple: a runner isn't new money. it's a herd of wallets leaving one coin and piling into the next. the chart moves after the herd. STAMPEDE sees the herd
every few seconds it:
→ reads every trade on the robinhood chain launchpads (146,329 in one hour)
→ catches the move: one wallet sold coin A, then bought coin B, within minutes
→ counts the herd: 54 wallets making the same move in 8 minutes is a stampede. one wallet buying 9 times is noise
→ ranks every coin by how many wallets are running into it and how fast that's growing
→ draws it on a 3D map and flies the camera to the biggest herd
→ shows the wallets and the transactions under every number so you can check i'm not lying
only the launchpad coins on robinhood chain for now, not the whole market
runs on a laptop, zero api keys for the replay
the video is a recorded replay of one real hour at 20x
$100 → $2,640 in 41 minutes. the herd was already in, i was right behind it
three of those back to back and $100 is $1,839,000
not joking
should i post every stampede it catches here, live?
SpaceXAI engineer, ex-Cursor:
"i haven't hired a human in a year, i just spin up another bot
50 of them run on a $200 plan, and they clear what used to be a 3-week sprint before i finish breakfast
we did $1.2M this year on a headcount of one"
in a 54-minute workshop, a SpaceXAI engineer shows the setup that runs 50 bots off one plan
this is the piece almost nobody builds, and it's why their agents fall apart past three
watch it, then build the same memory into your team with the 12-step system in the article below
Hiring Tony Robbins today costs 1 million dollars for just one day.
This is a 21-minute tape recorded in his own home more than 30 years ago.
There, he explains exactly how to get anyone to say yes.
The same material for which they now charge a fortune... completely free.
It's a rare, unfiltered recording from the time when he still didn't charge millionaires just for being in the same room.
When someone says no, they give two excuses:
“I don’t have time” or “I don’t have money”
Neither is true.
The real reason is that they still don’t believe it’s worth it.
It’s not a money problem. It’s a state problem.
Tony teaches something he calls “attack and confess”
Instead of arguing the objection, you confess your own:
“I had the chance to go six months ago and I didn’t until two months ago.
I can’t even imagine the time I wasted”
The room goes silent. No one argues.
Then he gets the person on the “yes train”
Each little yes adds to the next.
Until saying no at the end feels harder than saying yes.
When it’s time to sign, the person has already said yes five times without realizing it.
Just 21 minutes.
There you learn the two only moves that people pay 1 million a day for:
how to read anyone’s state… and how to shift it.
Most people spend years guessing in sales.
He wrote it on a flipchart in his living room in less than half an hour.
A seat in that room cost $125 dollars.
Today it costs $1 million dollars a day to sit in front of him.
The tape is free right now.
And the answer is in this video.
GROK BOT MADE ME 3 TRADING BOTS IN 15 MINUTES
+$2,353 in my wallet the next day, I quit my job that same day.
I wrote one prompt and answered a few questions.
Grok Bot took three strategies - MACD, RSI + VWAP, CVD divergence. Assigned each bot its own.
The first one catches momentum - sees when volume picks up and gets in before the crowd wakes up.
The second one trades reversals - waits for everyone to panic and bets against them.
The third one scans divergences - when price says one thing but money does another, it follows the money.
Built the structure itself, wrote the backtest, ran each strategy on historical data, set up the risk manager, deployed - all on its own.
Three bots, three accounts, each trades differently - they don't know about each other.
I named it Cabal.
Started with $20, then $70, then $140, then $320, then $2,353 in a day.
Citadel, Jane Street, Two Sigma have been trading with bots for years - they don't feel fear, greed, or FOMO - they only listen to algorithms.
The market rewards systems.
Bitcoin already put in its major top. Not "will." Already did according to @HenrikZeberg.
He thinks BTC gets one more bounce toward $115K, Nasdaq could still run 20-25% higher, and altcoins may even print new all-time highs.
But Bitcoin itself? He doesn't think it revisits its highs this cycle.
Contrarian as hell. Do you buy it?
Full video in the comments 👇
whoever leaked this has bigger balls than sense
someone ran 18 of the big AIs through the same 46 jobs and published the receipts: Anthropic's most expensive Claude burned $73 on a single job and still finished fewer of them than Grok did at $11
29 of those 46 jobs were never finished by any of the 18, and the people grading had to hide the scoring, because every model asked whether it was done said yes
i ran my own priciest setup at a job it should have owned last week, gave it the full hour, and got back something confident that was about two thirds built from scratch
turns out they only got an honest answer by refusing to ask the machine for one, and you can copy every bit of that inside a normal chat window:
1. stop accepting "done" and ask for the thing itself: a file, a list, a number you can look at. done is what you can see, claimed is what you get told
2. ask where it stands at the deadline instead of asking for a finish, because 79% of the failures were still making real progress when the time ran out. what you want back is how far, never whether
3. put the long jobs on the cheap model and keep the expensive one for quick questions, because across those 46 jobs the price moved 30x while the quality moved 2.5x
the gap between $73 and $11 buys you nothing: same afternoon of work, priced twice
bookmark this, then open the piece below:
how much one hired helper really covers in a week, and where the second one starts taking it back ↓
Roy Lee Explains How to Go From $0 to a Million Dollars With AI Videos
“Repeat this eight times and you have eight clients paying you $10,000 a month. And over a year you make $1 million.”
(Via Jack Neel)
A few weeks ago I added @DeriveXYZ to my portfolio (in size). I think onchain options are the next big meta! if you want to follow my portfolio - just click this link and and it will open up in the @BanterBubbles app.
https://t.co/eiuxA3s3Nf
🚨 ÚLTIMAS NOTÍCIAS! O engenheiro que criou o Claude Code do zero acabou de publicar um vídeo de 28 minutos que é ouro puro :
como escrever prompts que realmente entregam resultados absurdamente bons.
Já vi cursos de US$ 300 que nem chegam perto do que ele explica nos primeiros 10 minutos.
Arquivos CLAUDE. md, atalhos de memória, sessões paralelas e padrões de prompting que quase ninguém usa…
Tudo em um único vídeo. Totalmente gratuito. Sem enrolação.
Não importa se você é desenvolvedor, está começando agora ou já usa o Claude há meses : isso muda o jogo para você a partir de hoje.
Salve. Assista. Compartilhe.
She built 100+ agents for Anthropic and made $1.3M - and in 60 minutes leaked everything she knows at Stanford:
02:07 - her first agent for Anthropic brought her $1.3M
08:34 - agents replace a team of 50 engineers worth $200k a month
19:47 - one agent did overnight what the company planned for 5 years
after watching I launched my first agent - $7k in the first week and zero employees needed.
Save & watch - the article below is step by step how to build your first agent like hers.
THIS GUY IS WALKING INTO LOCAL SHOPS WITH A MAC MINI IN A HARD CASE AND WALKING OUT WITH $1,200 CHECKS FOR INSTALLING AI THAT RUNS WITHOUT THE INTERNET
I had to rewatch this twice because the business model is so stupidly simple my brain kept looking for the catch.
He shows up. Plugs in a Mac Mini. Installs a private AI network running entirely on Ollama. The whole thing is done in under an hour. Zero cloud dependency. No API bills. No monthly charges bleeding the client dry. The shop owner gets a local AI system that works even if the WiFi dies, and this guy walks out with $1,200 for an installation that takes less time than a long lunch.
The hardware costs $1,300. One deployment and the machine is paid for. Then he locks in a $149 monthly retainer for support, which means every client after the first is pure margin stacking on top of recurring revenue that compounds every single month.
Most people hear "AI business" and think they need to build a SaaS platform or learn to code or raise funding from someone. This guy skipped all of that and went straight to walking into physical stores with a box under his arm.
This is not going to scale to a billion dollar company. Obviously. But a solo operator clearing $5-10K a month from local installs while everyone else is still arguing about which LLM is best on Twitter is the kind of quiet hustle that does not make headlines until someone does a breakdown of their year-end numbers.
The surface area of what AI can do right now is expanding faster than anyone can map it. One guy is doing local hardware installs. Another is generating AI personas that pull five figures a month. Someone else is running AI video pipelines off a laptop. Same wave of tools. None of them competing with each other.
Hit play. Watch him unbox the setup and walk through the numbers. Then tell me you could not do this in your city by next Friday.
I built and automated a real quant trading strategy with Claude Code.
I open-sourced the Claude Skill, TradingView indicator, & more.
If you trade financial markets, I genuinely hope you don't skip this.
0:00 Intro
2:37 wtf is a quant?
4:45 How quants build models
6:17 Predicting volatility
8:12 The GARCH model
10:02 Calculating real positions
14:22 Installing the Claude Skill
20:51 Importing to TradingView
A billionaire trader spent 40 years trying to delete this documentary that shows him making $100 million in a single afternoon.
Bookmark & watch today, no matter what.
My friend was running a $150M hedge fund strategy on his laptop last night.
No MIT. No Stanford. No hedge fund background.
I asked him how he learned these quantitative trading strategies.
He sent me the course that got him there. 4 real hedge fund managers reveal the strategies that made them billions.
You won't find anything better about building quantitative trading strategies than this.
I watched it last night.
Halfway through, I realized building hedge fund strategies is embarrassingly simple.
Bookmark this and read the article below.
• 00:00 - quant strategy 1
• 50:45 - quant strategy 2
• 1:28:53 - quant strategy 3
• 1:51:41 - quant strategy 4
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