The most important file in Claude Code isn't code 🤯
It's CLAUDE.md, and Claude can write it for you in a 5-minute interview.
Who you are, what you're building, how your folder works. It's the difference between a blank chat and a teammate who's already been briefed.
Here's the whole thing:
-> Claude Desktop, Code tab
-> Obsidian vault with 3 folders: raw for sources, wiki for Claude's pages, output for finished work
-> Open the folder in Claude and say "interview me one question at a time"
-> Answer like you're onboarding a new teammate. Claude writes CLAUDE.md and keeps it under 200 lines
-> Drop your first source into raw and say "ingest this"
Two shortcuts if you want to skip the setup:
-> second-brain-starter ships a BOOTSTRAP.md that interviews you on the first session, fills your memory files and deletes itself
github.com/coleam00/second-b…
-> obsidian-skills by kepano, Obsidian's CEO · 50K stars. Claude writes real wikilinks and notes from day one
github.com/kepano/obsidian-s…
Next session, Claude opens already briefed. You never introduce yourself again, no cap.
Bookmark this before your next blank chat 🧠
8 HOURS IN A 1978 CESSNA: A PILOT FLEW THE ENTIRE GTA 6 COVER OVER ARKANSAS. NOW YOU CAN PLAN A ROUTE LIKE THIS WITH CLAUDE.
Benjamin McDaniel, aka Pilot Picasso, took off from Bentonville and landed after more than 8 hours. He mapped every turn with Claude in advance with GPS coordinates, so the track would form a picture on flight-tracking software.
The result is the GTA 6 logo, a helicopter, palm trees, an alligator, a sports car and Lucia with a pistol. Nobody on the ground could see it. The drawing exists only on the map.
At 0:09 the full drawing opens on Flightradar24.
More than 200,000 people watched the drawing come together live. McDaniel used to plan routes like this by hand. You can give Claude any outline image and ask it to turn the image into a chain of GPS waypoints around your city. You’ll get a route you can drive, run or bike in an evening.
GTA 6 comes out November 19. What would you draw on the map in your city?
Follow: I show what you can build with Claude in an evening.
CLAUDE CAN NOW USE A PHONE BETTER THAN YOUR PARENTS. IT TAPS, SWIPES AND TYPES ON A REAL IPHONE FROM ONE URL.
Phone Harness released an open-source MCP server that hands an AI agent a real iPhone or an Android emulator in the cloud. You paste mcp.phone-harness.com/mcp into Claude, and the agent opens apps, reads the screen, taps and types. It also works with ChatGPT, Codex, Cursor and 11 more clients.
At 0:09 the agent is texting in a chat on its own.
Today it’s a rented phone in the cloud. Give it a year, and people will hand agents their own phones, with banking, messengers and photos inside.
Would you give Claude full control of your phone? Yes or no
ZERO CODE, ONE EVENING: CLAUDE REBUILT ZELDA: OCARINA OF TIME’S TITLE SCREEN FROM SCRATCH.
Claude built the whole thing. First it wrote the tool itself: a page where you pick a game, describe what you want and press Start. Then I typed “Ocarina of Time”, and Claude wrote the scene code on its own: a grass field, a sky that moves from sun to moon, the logo with the Master Sword, and a working New Game / Options menu. When something broke, I described the bug in plain words and Claude fixed it in the next pass.
Watch 0:08, when the logo drops onto the field. Every line behind that frame comes from Claude.
UnrealGamingPC on YouTube is remaking OoT in Unreal Engine (that’s the Kokiri Forest footage), and that kind of project takes months of manual work. My version is a first step. I got there in one evening by talking to Claude.
A year ago I would have needed a coder for this. Now I need Claude and a clear idea of what I want.
Which game would you make Claude rebuild first?
Follow: I post every Claude build with the exact prompts, including the ones that broke.
My wife is still asleep and I don't know how to start this conversation. Last night Claude Code showed me 3,946 of her photos sitting on a server in Hong Kong. Some of them she took only for me.
Her iPhone uploaded them from the nightstand, a foot away from us.
It was three years of her life: our son's first steps, her passport, screenshots of our banking app, the pictures from our anniversary trip.
The uploads ran every night from 1 to 4 am while the phone charged with the screen off. Every file went to the same address, a server someone registered 37 days ago. The last one left her phone 9 minutes before I opened the log. She never noticed a thing.
I only started digging because her battery kept dying overnight. I turned on App Privacy Report on her phone, waited one night, exported it and gave the file to Claude Code. I asked which apps opened her photos while she slept. It named one: a free "storage cleaner" she downloaded last spring when her iPhone said storage was full. She forgot about it the same week.
Then I looked at the album names. A few hundred files came from Hidden, the album she locked with Face ID.
Face ID stops someone who picks up her phone. An app with Full Access to Photos reads the Hidden album like any other, and iOS shows no green dot for photos the way it does for the camera. That cleaner had Full Access from day one.
I deleted it and set every photo app to Limited Access. I can't tell who has opened those pictures since. She wakes up in an hour.
Any app you ever let see all your photos can do this. To check yours, go to Settings → Privacy & Security → App Privacy Report and turn it on. After one night, tap "Save App Activity" and give the file to Claude Code. Ask it which apps read your photos between midnight and 6 am and where they sent data. My exact prompt is in the first comment.
This is f*cking wild. Someone asked Anthropic CEO Dario Amodei what a kid finishing high school should do right now. He didn’t sugarcoat it:
“AI can do entry-level law work. It can do entry-level finance. It can do entry-level consulting.
AI will also eliminate jobs, and probably a large number of them”
Not some random tech bro on a podcast the man building the AI itself telling you point blank which seats disappear first. Junior lawyers. Junior analysts. Junior consultants. The roles every ambitious grad used to fight over.
His estimate? Half of those positions reshaped or gone within five years. Maybe less.
And here’s the difference from every shift before: when tractors replaced farmhands, people had decades. When the web ate retail, there were years of runway. Amodei is saying this transition doesn’t wait for anyone.
So what actually protects you? Not just knowing how to prompt. That’s already the default. What separates people now is having infrastructure agents that research, verify, execute and loop on their own while you focus on decisions.
Here’s an entire toolkit to build that infrastructure, and none of it costs a cent:
Enterprise-ready Claude plugins legal, finance, sales, HR, data
github.com/anthropics/knowle…
Financial analysis agents modeling, memos, due diligence
github.com/anthropics/financ…
Document skills Excel, Word, PowerPoint, PDF
github.com/anthropics/skills
Autonomous financial researcher
github.com/virattt/dexter
Deep-dive research agent for any domain
github.com/assafelovic/gpt-r…
Query spreadsheets and databases in natural language
github.com/sinaptik-ai/panda…
Multi-agent teams with defined roles
github.com/crewAIInc/crewAI
End-to-end agent harness
github.com/langchain-ai/deep…
Anthropic’s own agent SDK
github.com/anthropics/claude…
Persistent memory layer for agents
github.com/mem0ai/mem0
Self-correcting execution loop
github.com/snarktank/ralph
Browser automation agent
github.com/browser-use/brows…
Visual workflow builder for repetitive tasks
github.com/n8n-io/n8n
18-lesson agent engineering course
github.com/microsoft/ai-agen…
Price: $0
Nobody gets replaced by a chatbot. People get replaced by other people who automated the boring parts and freed themselves up for the work that matters.
Don’t just bookmark this forward it to whoever you know that’s job hunting right now
Then open the guide below and start building ↓
This is f*cking insane. andrej karpathy: “the biggest regret of every engineer in my field right now is every AI conversation they never saved, and in 10 years the ones who started saving in 2024 will be running circles around the rest of us”
the guy who co-founded openai just posted something that racked up 16M views and it had nothing to do with vibe coding. he was talking about turning AI into your second brain that digests every article, pdf, transcript and conversation you feed it
here’s the concept: you fire up claude code inside any folder, point it at whatever you have and it doesn’t just dump it somewhere. it actually reads the material, weaves it into everything you’ve already collected, and spins up a living wiki that gets sharper with every use. no more ideas vanishing between sessions
how to set it up:
→ grab obsidian, make a vault folder, cd into it
→ run claude there and tell it “build me a knowledge vault CLAUDE.md for conventions, raw for inputs, wiki for processed pages”
→ drop anything into raw a youtube transcript, class notes, a 400-page whitepaper, a screenshot and say “ingest”
→ claude creates a wiki page, auto-links it to everything already in the vault, and updates CLAUDE.md with patterns it notices about how you think
→ from that point every question hits your vault first. every answer draws from your own material with timestamps and source trails
five minutes to bootstrap. after that your knowledge compounds instead of evaporating
here’s what nobody wants to admit: ten years from now, engineers who locked in this habit in 2024 will have a bulletproof archive of every book, podcast, and meeting with receipts. the rest will be reconstructing things from half-remembered fragments. karpathy already picked his side. you’re still scrolling
full walkthrough linked below
save this before another week goes by
This is f*cking insane. Former Google CEO Eric Schmidt, the man who led Google for 10 years:
“If you really want to make money, it’s actually easy, found an agentic AI company, I mean build an agent to do something
If you build a better agent than anyone else, you can probably build one incredible company and own it yourself”
27 seconds. No hedging, no “maybe.” The guy who built Google into a trillion-dollar machine is saying the path is wide open you just have to walk through it before it closes.
Here’s the thing nobody talks about: every piece you need to build that agent already exists for free. Anthropic published the entire playbook. Courses, docs, frameworks all sitting there while people pay $500 for Twitter gurus to repackage the same info.
The stack that gets you from zero to a working agent:
Start here - learn to talk to the model:
platform.claude.com/docs/en/…
Then learn the tool itself:
anthropic.skilljar.com/claud…
Now give it memory and teach it your workflow:
code.claude.com/docs/en/clau…
Teach it reusable patterns:
code.claude.com/docs/en/skil…
Connect it to the outside world:
code.claude.com/docs/en/mcp
Automate recurring work:
code.claude.com/docs/en/rout…
Study how real agent systems are designed:
langchain.com/blog?category_…
See it all in action:
anthropic.skilljar.com/claud…
Go deeper:
github.com/anthropics/course…
Reference when you get stuck:
code.claude.com/docs/en/over…
github.com/FlorianBruniaux/c…
github.com/hesreallyhim/awes…
anthropic.skilljar.com
That’s the full path. Prompts → Claude Code → Memory → Skills → MCP → A Company You Own Yourself
Two kinds of people will read this. Those who bookmark it and forget, and those who open link one tonight. The second group builds the next wave of companies.
Then read the full Graph Engineering guide below ↓
Grok Bot made me $3000 in a day, 3,500+ tasks done by 10:43am, and it is f*cking unreal 🤯
A laptop, a phone and 6 bots, and none of them can hit send without me. No cap
-> Chief routes the work, 4 jobs an hour, to Inbox, Sales, Expense, Talent and Trader
-> Sales queued 36 drafts and sent exactly 0, every one waits on my yes
-> Expense filed a $42.18 Uber receipt and matched the invoice itself
-> Login wall? It hands me the screen, then picks up where it stopped
Every log line at 0:11 has a job, a tool and a status: done, queued, parked, handed to you 👀
The approval line was drawn before the first task: anything that moves money gets parked for me
Save it so you don't lose it, full article on Grok Bot below ↓
This Anthropic paper is absolutely wild
it breaks down the exact 9-step verification loop that elite AI engineers run on top of Claude Code before it touches any production code.
every formula, every constraint, the ready-to-use prompt template - everything documented step by step.
drop it into Opus 5.5 one time and your agent stops winging it - it starts decomposing tasks, self-validating, and auto-correcting on its own.
the wildest part? anthropic has quietly had all these building blocks in their documentation this whole time but 99% of users still just throw “fix this bug” at the agent and get surprised when it trashes the codebase.
save this before it disappears in the feed.
then check out the full Graph Engineering breakdown below ↓
I ran /trace on a Walmart trip for milk. The log came back with 7 companies and a question about my TV 💀
$ claude "find every company that gets a piece of me in this walmart"
-> Fetch privacy notice → 403 Forbidden → archived copy, 214KB
-> grep "biometric" → face geometry · iris or retina · palm · voice
-> wifi-scan && ble-scan → "Walmart WiFi" open · 41 devices · 18 fixed beacons
-> grep "wi-fi|bluetooth" → your device's location in stores
-> grep "license plate" → parking lot readers
-> WebSearch self-checkout → Everseen, Cork, Ireland · 1,000+ stores
-> WebSearch shelf labels → VusionGroup · all 4,600 US stores · proximity sensing
-> WebSearch lawsuit → Luthe v. Walmart · 2022 · Clearview AI · ALLEGED
-> Task ad-trace → Walmart Connect · The Trade Desk · Roku
-> AskUser at 0:19 → "What brand is the TV in your living room?"
I picked Vizio.
-> Walmart has owned Vizio since Dec 2024, $2.3B
-> ACR logs what's on screen → Walmart Connect
-> What you watch ⇄ what you buy
Exit code 0. Nothing was hacked. Every line is a public doc or public reporting.
The geeky part, ngl: at 0:16 I interrupted it mid-run with "also check if the shelf tags can track me." It said "Got it" and added the shelf labels to the map. No restart. That's the whole UX of an agent 🧠
The privacy notice is the config. Walking in is the deploy.
The full /trace prompt is right below 👇 What would you run it on first: your grocery store or your TV?
This is f*cking insane. The CEO of Anthropic and the CEO of DeepMind just sat down together at Davos 2026 and what they said should keep you up tonight
Dario Amodei admitted he’s walking a tightrope with every move he makes on Claude push too slowly and another country takes the lead, push too fast and nobody can pull the brakes
Demis Hassabis, the man running Google’s AI lab, was asked if he feels like Oppenheimer. His answer: “that’s why I don’t sleep much”
These two are not speculating. They’re the ones actually building it. And both of them, independently, put AGI at 2026-2027. Not someday. Now
The moderator The Economist’s editor-in-chief looked like she was hearing a countdown nobody prepared her for
31 minutes. No hype, no sales pitch. Just the two most important people in AI telling a room full of world leaders that the thing everyone’s been debating is already arriving
Chatbots → Agents → Autonomous agents → AI researching AI → AGI
This is worth more than any paid AI course out there
Watch it before your feed moves on
The “Harness, Loops, Graphs” breakdown is right below ↓
This is f*cking insane. Anthropic senior engineer:
“Writing prompts isn’t the job anymore. Most people open a single chat and call that an agent.
My agents live inside /loops + /graphs + /harness. Same model, same tokens, 10x the finished work. It plans, checks itself, and ships while I’m offline.”
Prompts → Agents → Loops → Graphs → Harness
She built a full marketing agency inside Claude Code 5 specialized agents working as a team: a content strategist that does deep topic research, an SEO blog writer, a presentation builder that turns raw data into polished slide decks, a social media agent that designs branded Instagram visuals with custom fonts and brand colors, and a data analyst plugged into Google Analytics via MCP that builds interactive dashboards
One prompt and the agents hand off work to each other automatically. The content strategist researches, passes findings to the blog writer, who passes to the presentation specialist a full pipeline from research to client-ready slides without a single extra command
She wired it all together with CLAUDE.md routing rules, Skills for brand-specific templates, and MCP servers for Notion, Ahrefs, and GA4. The agents even upload finished content directly to CMS
This is what a one-person agency looks like in 2026. Better than any $1,500 agent course out there.
Watch it before your feed buries it.
Full Opus 5.5 harness engineering guide below ↓
This is f*cking insane. Former Google CEO Eric Schmidt, the man who ran Google for 10 years:
“If you really want to make money, it’s actually easy, found an agentic AI company, I mean build an agent to do something
If you build a better agent than anyone else, you can probably build one incredible company and own it yourself”
Half a minute that’s all it took him to explain why we’ve entered the agent era and why the door is already swinging shut
Prompts → Claude Code → Memory → Skills → MCP → A Company You Own Yourself
Screenshot this before your feed refreshes
Here’s your full free roadmap:
Prompts
platform.claude.com/docs/en/…
Claude Code
code.claude.com/docs/en/over…
Memory
code.claude.com/docs/en/clau…
Skills
code.claude.com/docs/en/skil…
MCP
code.claude.com/docs/en/mcp
Routines
code.claude.com/docs/en/rout…
Agent architecture
langchain.com/blog?category_…
Claude Code in action
anthropic.skilljar.com/claud…
Interactive prompt course
github.com/anthropics/course…
Claude Code 101
anthropic.skilljar.com/claud…
Claude Code ultimate guide
github.com/FlorianBruniaux/c…
Awesome Claude Code
github.com/hesreallyhim/awes…
Anthropic academy
anthropic.skilljar.com
Every single link above is free
95% will watch the agent revolution from their timelines. the 5% who actually ship will walk away with the companies everyone else wishes they’d started
Bookmark it and hit the first link before you close the app
The harness engineering breakdown is right below ↓
This is f*cking insane 🤯 Claude Code just turned my Wi-Fi router into a radar that can tell who's in the room.
Your home router can recognize you without seeing your face 👀 Even if your phone is off, or not on you at all.
No camera. No extra sensors. Claude wrote the code in 40 minutes.
The router is constantly sending radio waves around the room. They bounce off the walls, the furniture and your body.
And here's the key part. Every body distorts the signal its own way:
-> Height
-> Build
-> Posture
-> Gait
You get something like a radio silhouette.
Basically it's a camera that runs on radio instead of light. Which means it sees in the dark and through walls.
Watch 0:22 The last tab on screen says "Identity Match" 🚨
Then algorithms learned to read those distortions. I tested it with 5 of my friends walking around the room, and you can see all 5 of them in the video.
This isn't just my home build either. In a KIT study with 197 people, the same idea picked out the exact person with almost 100% accuracy. No matter the angle or the walk.
And here's what makes it truly alarming. No camera, no special sensors, no device in your pocket. Just the service data your router already swaps with your devices. In plain text. No encryption.
I'd straight up call this an attack on privacy.
And it's not a one-off. A team in Rome built a similar system independently and hit 95%.
Yes, for now it's a lab build, not a spy tool. Though who knows. An attacker still has to intercept the data.
But the principle is proven. And Wi-Fi is everywhere:
-> Airport cafés
-> The neighbors behind your wall
Ngl, would you unplug your router after this, or nah? 👇
Karpathy just rebuilt YouTube recommendations in a single weekend session.
He was fed up with what YouTube kept surfacing
So he pointed Claude at 43 million Hacker News comments spanning two decades
It pulled out the YouTube links that kept getting shared by technical people over and over
That filtered down to 6,454 videos that are genuinely worth your time
He shipped the whole thing as a site called HackerTube
The entire project took roughly 2 hours using Claude Opus 5.5
No engagement bait, no watch-time optimization - just 20 years of organic recommendations from real engineers
Pretty impressive if you ask me
This is f*cking insane. andrej karpathy: “the biggest regret of every engineer in my field right now is every AI conversation they never saved, and in 10 years the ones who started saving in 2024 will be running circles around the rest of us”
the man who co-founded openai just dropped a take that hit 16M views - and it wasn’t about writing code with AI. it was about turning AI into a personal memory engine that absorbs every article, pdf, transcript and conversation you throw at it
here’s how it works: you open claude code inside a folder, feed it anything - and it doesn’t just store it. it reads it, connects it to everything you’ve already saved, and builds a searchable wiki that grows smarter the more you use it. no more losing ideas between sessions
the setup:
→ install obsidian, create a vault folder, navigate into it
→ launch claude there and tell it “set up a knowledge vault — CLAUDE.md for rules, /raw for inputs, /wiki for output pages”
→ throw anything into /raw a youtube transcript, lecture notes, a 400-page research paper, a screenshot and say “ingest”
→ claude generates a wiki entry, automatically cross-references it with existing pages, and updates CLAUDE.md with new patterns it picks up about your thinking style
→ from now on every question runs through your vault. every answer pulls from your own material with timestamps and source links
takes 5 minutes to get running. after that your knowledge stacks instead of disappearing
here’s the part nobody wants to hear: a decade from now, engineers who built this habit in 2024 will have a perfect record of every book, podcast, and meeting backed by proof. everyone else will be working from foggy memory. karpathy already made his choice. you’re still scrolling
full walkthrough linked below
save this before another week slips by
This is f*cking insane. Anthropic engineer:
“You’re not supposed to prompt Opus 5.5 You’re supposed to build a system that prompts itself. At Anthropic, 90% of our engineers have already built these systems”
She breaks down the entire framework in 30 minutes. How Anthropic internally builds agents that don’t just follow instructions they remember context across sessions, catch their own errors mid-run, and actually improve their output over time without you touching anything.
This isn’t theory. This is how the people who built the model actually use it. And it’s not behind a paywall. No $1500 course. No gated community. Just a free walkthrough that’s better than every paid agent-building program I’ve come across.
The shift is real: prompting is becoming the beginner move. The next level is systems that prompt themselves loops that evaluate, retry, and learn. If you’re still writing one-shot prompts into a chat window, you’re using 2024 tools in 2026.
Watch the video. Read the article below. Then build.
THIS IS F**KING AMAZING.
Claude + YouTube research + AI animation is a crazy combination.
Here’s the play: you go on YouTube, find kids channels that are already pulling millions of views, break down exactly what makes them work - the characters, the pacing, the hooks and then feed all of that into Claude. It writes your scripts, builds your storylines, and structures everything for Shorts format. Then you take that output and run it through AI animation tools.
No Blender. No After Effects. No animation degree. No team. Just a laptop and the right workflow.
The guy in the video claims $475/day.
Whether that number is exact or not the workflow itself is legit. Kids content is the most consistent, evergreen, algorithm-friendly niche on YouTube. Channels in that space pull views 24/7 because the audience never stops watching. And now AI lets you produce it without touching a single frame by hand.
The barrier to entry just dropped to zero. The people who move first win.
Bookmark this. Come back when you’re ready to build.
A few days ago I posted that my AI character hit 300K followers. He just crossed 381K. +81K in 3 days. This thing won’t slow down 🤯
73 posts. That’s the whole account.
Here’s the full growth timeline:
→ 38.1K - when I first built the sheet
→ 63.7K - a few days later
→ 266K - first time I posted about him
→ 300K - the next day (+34K in 24 hours)
→ 381K - right now
→ That’s 10x in weeks. On 73 posts. With a Japanese AI character.
→ Top clip: 34.7M views. Another at 8.4M. Another at 6.3M. Another at 5.6M. Multiple clips at 2.9M+
→ He now has a Highlights story called “EASY CASH” and a Higgsfield affiliate link in his bio
→ The account is monetizing
Let me say that again: a character that doesn’t exist is making money.
I named him Kaoru Hanayama (花山 薫) - my character. A beast straight out of Baki. Calm, disciplined, intimidating built like a tank. Japanese nationality, traditional irezumi tattoos on the shoulders and arms, glasses, short black hair, massive heavyweight build, signature white pants. The kind of guy who walks into a room and the room goes quiet.
Bio: “god-given strength. god made me in @higgsfield.ai”
The concept is pure anime energy brought to real life. He stands next to real bodybuilders and MMA fighters and he doesn’t just fit in, he dominates. One clip has him at the Joe Weider Olympia. Another in a boxing ring. Another face to face with Khabib. The uncanny valley effect is insane: people genuinely can’t tell if he’s real or AI. That confusion is what drives shares. Every comment section is a war between “that’s clearly AI” and “bro he’s real I’ve seen him at expos.”
Watch 0:02 the size difference is insane
And here’s what changed since my last post: the account crossed a threshold. It’s no longer just growing it’s compounding. 34.7M views on the top clip. An affiliate link in the bio. A Highlights section pushing monetization. This isn’t a hobby project anymore. This is a business built on a character sheet and a prompt.
The growth math is stupid:
→ 38.1K → 381K = 10x growth
→ 73 posts = ~5.2K new followers per video
→ 34.7M views on ONE clip
→ +81K followers in 3 days
→ Bio now has affiliate link = revenue
2026 is handing out huge opportunities to anyone ready to actually move. We’re heading straight into the era of AI influencers — and most people are still watching other people’s accounts grow instead of launching their own.
The character sheet is what makes it scale. Every video starts from the same reference: same face, same tattoos, same glasses, same build. No drift. No inconsistencies. The AI knows exactly what to generate because the sheet locks everything in.
Here’s the prompt I used:
Create a photorealistic character continuity sheet from the reference photos. Include a character profile, four full-body views (front, 3/4, side, back), three facial close-ups, eight expressions, six poses, costume details, a colour/material palette and a “Do Not Change” checklist.
Preserve the same face, eye alignment, hair, body proportions, clothing and accessories throughout. Use the layout reference only for design. White portrait page, bold black headings, clean grid, readable labels, light-grey studio backgrounds and soft natural lighting. No invented personal details, social-media interface or watermarks.
Attach 2-3 pics of your character.
Look at my result (pic 1), done in about 5 minutes:
→ Profile + 5-angle turnaround: front, 3/4, side, back, 3/4 back
→ Face close-ups + tattoo detail, skin texture, hair detail, ear detail
→ 10 expressions: neutral, focused, angry, intense, serious, confident, fighting, shouting, smiling, thinking
→ 9 poses: standing, walking, fighting stance, punching, kicking, training, arms crossed, drinking, street style
→ Costume details: white pants, shoes, glasses, black shirt, suit jacket, watch, fabric textures, tattoo close-up
→ Full colour palette: skin tone, black hair, white pants, dark pants, tattoo ink, glasses frame, gym background
The “Do Not Change” checklist locks it:
- Keep Japanese appearance
- Keep glasses
- Keep muscular and heavyweight build
- Keep tattoos on shoulders/arms
- Keep short black hair
- Keep signature white pants style
- Keep overall vibe and character
What to steal from Hanayama at 381K:
→ Anime-to-reality is an untapped goldmine. People obsess over characters they already know give them a real-looking version and they can’t scroll past it
→ The “is he real?” confusion = free engagement. Every debate in the comments is another push from the algorithm
→ 34.7M views from one clip. At $0.318/sec and ~$2.50 per failed 8-sec try when the sheet is dialed in, failures drop to near zero and the ROI goes vertical
→ The account now has an affiliate link and a monetization highlight. The character isn’t just growing it’s earning
→ +81K in 3 days means the compounding phase has started. Each new clip feeds the momentum of every clip before it
→ Don’t copy his character. Copy his formula: pick a strong archetype, build the sheet, post daily, let the algorithm do the rest
→ 73 posts → 381K followers. 34.7M on the best clip. The sheet did the work.
No idea how far this goes. But I’m not stopping until he passes 1M or Instagram kicks him off.
The internet is full of fake faces. The money goes to the ones that never change.































