A Ukrainian studio you've never heard of makes $36M/year.
Their most successful app does one thing: edit and convert PDFs. Simple idea. Obvious niche. Massive market.
Readdle. 9 apps. 5 clearing $100K/mo.
PDF editing. Document management. Document scanning. AI email. Calendar planning.
Same formula every time. Find a niche. Build an app for it. Move to the next one.
They didn't build one hit and hope. They built a machine that keeps producing them.
MIT JUST LEAKED THE EXACT DOCUMENT WALL STREET QUANT FIRMS USE TO HIRE PEOPLE.
It is called the MIT Quant Bible.
And it covers everything the $500,000 a year quants actually know that you do not.
Here is what is inside:
Probability fundamentals. Conditional probability, Bayes theorem, expected value, variance, joint distributions. The mathematical foundation every trading decision at Jane Street and Citadel is built on.
Stats fundamentals. The Law of Large Numbers. Central Limit Theorem. Confidence intervals. The tools quants use to know when a signal is real and when it is noise.
Quant research and data science. Least squares, regressions, dimensionality reduction. Real case studies from Two Sigma, QuantCo, and CitiBikes.
Quant trading and market making. What market making actually is and how the theory translates into real trading decisions.
And then the part that makes this document worth more than most finance degrees.
A question bank with real interview questions from Jane Street, Virtu Financial, Optiver, Akuna Capital, Citadel, Hudson River Trading, Two Sigma, Five Rings, and SIG.
Not prep questions.
The actual questions these firms ask.
With answers.
The firms charging $50,000 a year for access to this type of preparation are not going to be happy this exists.
Bookmark this before it disappears.
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Ken Griffin lost 50% of Citadel's capital in 2008
Flagship fund down $8 billion
"That's when you realize your textbook risk models mean absolutely nothing."
"When you're bleeding $500 million a week you don't survive by having conviction. You survive by aggressively protecting cash."
Today Citadel executes 20% of all US equity volume.
Watch Griffin explain what 2008 actually felt like
Then read the article
This device prints money while you sleep. Most people have never heard of it.
It's called a Phone Farm.
20 phones. One USB hub. One room.
Every phone = separate account. Every account = real traffic. Real clicks. Real revenue.
Here's the math:
20 phones × $3/day ad revenue = $60/day
$60/day × 30 days = $1,800/month
Scale to 100 phones = $9,000/month
Setup cost: $400 for phones + $25 for the hub.
ROI: month 1.
No content. No editing. No audience needed.
Just phones running 24/7 in the background.
People walk past this setup on AliExpress every day.
A few figured out what it actually does.
Now their phones work. They don't.
Stanley Druckenmiller broke down what's behind his 30% average annual return
and revealed the one rule Soros used to tell him: "invest first, investigate later"
"if I get an idea I buy it first and tell the analysts to look into it - if I wait I'll miss 30 or 40% of the move and then I'm paralyzed - I don't have the guts to buy it anymore"
"it was a matter of never losing and then throwing some big numbers in there maybe 10 times - my worst years were up 5%, my best were up 60%"
"if you go down 50% you need 100% just to get back to even - when you see the ball, swing really big - when you don't see the ball, don't swing"
bookmark and watch it today ↓
Mr Beast says he could start a faceless channel tomorrow and hit 20 million subscribers in six months
“I could start a new channel tomorrow not using my face or my voice without ever promoting it and in six months have 20 million subscribers”
“It’s purely knowledge if you knew what I knew you could get 10 million views a video and 10 million subscribers no matter where you are right now within 6 months”
“It really is just knowledge”
Fuck selling supplements. Fuck selling kitchen tools. Fuck selling skincare.
The highest-margin product an AI character can sell is a $9 digital PDF
100% margin. Zero inventory. Zero shipping. Zero returns. Zero customer service. Zero amazon middleman taking 92% of ur commission.
A $9 PDF u make once in google docs + sell 400 times a month = $3,600/mo in PURE profit from a file that took 2 hours to create
Now stack that across 6 characters selling different PDFs to different demographics n the digital product layer alone clears $20-40k/mo before u even count affiliate revenue
Why nobody on this app talks abt this
Bc "selling a $9 PDF" sounds embarrassing compared to "clearing $50k/mo in affiliate commissions." The ego wants the bigger number. The bank account wants the margin.
Affiliate revenue on a $34 magnesium bottle at 8% commission = $2.72 per sale. U need 13,235 sales to clear $36k/mo.
Digital PDF revenue on a $9 product at 100% margin = $9.00 per sale. U need 4,000 sales to clear $36k/mo. W no middleman. No shipping delays. No inventory risk. No platform dependency.
The buyer downloads instantly. The transaction closes in her DM. The money hits ur stripe in 2 days.
What digital products actually sell to this demo
The PDFs that print are NOT ebooks. They're templates, checklists, planners, n routine guides the buyer can print at home n use immediately.
- "My 7-day sleep routine" (1 page, lists the supplements + the timing + the habit stack) = $7
- "Pantry organization checklist" (2 pages, room-by-room breakdown w product links embedded) = $9
- "30-day joint pain protocol" (3 pages, supplement schedule + exercise list + diet tips) = $12
- "Weekly meal prep planner for women over 50" (4 pages, printable weekly template) = $9
- "Dog anxiety toolkit" (2 pages, calming routine + product checklist + vet conversation script) = $11
- "Homeschool curriculum planner" (6 pages, grade-by-grade planning template) = $14
Each one takes 1-3 hours to create in google docs or canva. Each one sells for 6-18 months w zero updates required. Each one is delivered via a gumroad or payhip link dropped in the DM flow.
How it layers into the existing AI character operation
The character already has the DM funnel running. Comment trigger keyword. Meta business suite auto-DM. 4-message flow.
Add one line to the flow: "btw i made a free checklist of everything i use for sleep. Want me to send it?"
The "free checklist" is the top of the digital product funnel. She gets the free version (1 page). At the bottom of the free page: "the full 7-day protocol w timing + dosages + my personal notes is $9 here: [gumroad link]"
Free-to-paid conversion on this specific flow runs ~14-22% bc the buyer already trusts the character + the free version proved the character's expertise.
The compound across the network
6 characters x 1 signature digital product each x $9 avg price x ~400 sales/mo per character = ~$21,600/mo in pure digital product revenue
Layered on top of:
- Affiliate revenue ~ $30-50k/mo per character
- Subscribe & save book ~ $8-18k/mo per character
- Brand deals ~ $5-15k/mo per character
The digital layer adds $20-40k/mo to the network w zero marginal cost after the initial 2 hours of creating each PDF
(btw the digital products also serve as email list builders. Every buyer who purchases the $9 PDF gives u their email via gumroad/payhip. That email list becomes a second distribution channel the character owns forever, independent of any platform algorithm. If tiktok bans the page, the email list survives. If instagram changes the algorithm, the email list survives. 4,000 emails per character x 6 characters = 24,000 owned emails w a 38-44% open rate bc the audience opened the email to get the PDF they paid for.)
Sometimes the highest-margin product in the entire AI character economy is a 2-page google doc a 14yo could make in study hall + every operator on this app is too proud to sell it bc $9 doesn't look impressive on a screenshot...
The screenshot doesn't matter. The margin does.
link in bio if u want the digital product layer added to ur existing operation
or keep giving amazon 92% of ur commission while a $9 PDF pays u 100% lmfaooooo😂
🔥 I SPENT HOURS BUILDING THIS… YOU GET IT FOR $0
This guide could easily sell for $199.
Instead, I’m giving away my full N8N Automation Mastery system:
Inside you get:
→ 50+ plug-and-play automation workflows
→ A simple step-by-step course to learn n8n fast
→ Advanced AI prompts + agent setups no one talks about
If you want leverage with AI, this is it.
Build once. Let it run forever.
Like + comment “n8n” and I’ll send it to you.
An Anthropic engineer said:
“You’re not supposed to prompt Claude. You’re supposed to build a system that prompts itself.”
This is one of the smartest AI workflows I’ve seen in a while.
In this video, he explains how most people are leaving a huge amount of Claude’s potential on the table:
• The 14% performance boost hidden in CLAUDE.md before you even type your first prompt
• Powerful plugins that most users have never installed
• A caching setup that keeps costs low while maintaining a ~95% hit rate
• Why starting every conversation from scratch is one of the slowest ways to use Claude
If you’ve been using Claude for months and never moved beyond the chat window, you’re still running a single project when you could be operating an entire team of AI systems.
Skip another episode tonight and watch this instead.
And save it before it disappears from your feed.
Full guide in the article below.
THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT
Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle
How to build it:
1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart
2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero
3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault
4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting
5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting
The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over
Bookmark this
Fired Jane Street quant walked out with ten years of private BTC trading data - and turned it into $1.5M
He didn't build a bot. He built a simulator that sees the matrix - it runs every move Bitcoin can make before it makes one.
His wallet: https://t.co/PKzMvqb51X
Here's what he actually built.
A swarm of agents feeds ten years of stolen tick data into MiroFish - a god-tier agentic simulator.
It doesn't forecast the next candle. It spins up a virtual market and plays Bitcoin forward through thousands of scenarios at once.
Six agents each validate their own call. A trade only fires when they converge.
They collect data 24/7, re-run the sim, and remember every pattern, every reaction, every signal they've ever seen.
He doesn't predict the future. The math already knows it. He just reads the numbers and takes the money.
I've been copying him for a week and PnL prints like a money printer on steroids.
Here's the part the firms don't want public: MiroFish just broke algo trading.
The desks are quietly building their own simulators right now. The window where one solo wallet can run this is still open - barely.
Save this and build your own - or skip the homework and copy his with this bot: https://t.co/vbDZyVcfT3
Stop overthinking your marketing
Try this instead 👇
Slide 1: a hook
Slide 2: a photo of your app
That's the format pulling 40M view slideshows
One indie hacker hit 700K users solo doing only this
You can replicate it at scale
Full playbook in the article
THE GUY WHO WON ANTHROPIC'S HACKATHON JUST GAVE AWAY HIS ENTIRE CLAUDE CODE PLAYBOOK FOR FREE. 10 MONTHS OF WORK, ALL PUBLIC
Affaan Mustafa won the Anthropic x Forum Ventures hackathon by building a full startup in 8 hours with Claude Code. Then he open-sourced the exact setup that did it. It's called Everything Claude Code, and it turns Claude from one assistant into an entire engineering team
Repo: affaan-m/ecc
This isn't a prompt pack. It's a system he refined over 10+ months of daily use shipping real products
What's inside:
A huge library of skills, dozens of specialized subagents, and ready-made commands, all working together. Each piece does one job. One subagent reviews security against OWASP standards. One optimizes memory so Claude stops forgetting earlier decisions around hour three. One learns from your past sessions and projects so the setup gets smarter the more you use it. Others handle planning, test-driven development, and language-specific code review
Instead of one assistant writing code, you get an orchestrated team. A main session delegates to the right specialist when the task calls for it, the way a real dev team splits work
The best part: it's not locked to one tool. It runs in Claude Code, Cursor, Codex and OpenCode, across Windows, Mac and Linux. Free, MIT licensed
This is the difference between using Claude like a search box and running it like a team that ships. The guy spent 10 months figuring out what actually works so you don't have to
Bookmark this
Andrej Karpathy spent 2h showing how he actually uses AI day to day
he's a co-founder of OpenAI and led AI at Tesla, so when he shows how he works, it’s worth watching
and the whole session is just him telling the machine what he wants in simple terms, like he's briefing a coworker
watch what's actually happening the entire time:
> he describes the task in normal words
> it goes off and does the work
> he glances at the result and nudges it with one more sentence
that's the whole skill, and you've had it since you learned to talk
the only gap between that and a worker that runs on its own is handing that sentence a schedule and the tools to act
check his work, then build the version that keeps working when you stop
i can't believe this 1 hour talk by Jim Simons, the mathematician who turned $1 into $27,000 with pure math over 30 years & built the greatest quant fund in history, literally told you exactly how he did it from scratch:
Google's former CEO just said what everyone in AI already knows
Building wealth is getting easier if you actually learn the tools
Not by scrolling AI threads
By understanding agents, Claude Code, prompts, memory, skills, MCP, and routines
Save this before it disappears from your feed
Everything below is free:
Agent architecture
https://t.co/hhrSyF3y6u
Claude Code 101
https://t.co/71Zu7xQmxc
Claude Code in action
https://t.co/vg8fPChJxl
Prompt engineering
https://t.co/xEu7M3CPe1
Interactive prompt course
https://t.co/oGCxHkqFBD
Claude.md + memory
https://t.co/v6JKlS4OJl
Skills
https://t.co/AJCWlDcMU7
MCP
https://t.co/tQTUYCwN16
Routines
https://t.co/gAnEdq5SP0
Claude Code ultimate guide
https://t.co/WeDLJBVaGM
Awesome Claude Code
https://t.co/wvpwfcaf6U
Anthropic academy
https://t.co/uu3JyZyWyt
Official Claude Code docs
https://t.co/xuUWAfZGXy
All of this costs $0
Most people will keep asking AI one question at a time
Save this and start learning the stack
The best trader of 2030 won't be human.
Run an AI agent that reads every market in real time. Journals every trade. Learns from a fleet of agents doing the same.
Stocks, crypto, commodities. Every decision streamed in plain English.
Activate you agent. Live on Hyperliquid.