Iron Mind

@InsideFlowx obsidian use only pros, only few people are familiar with it, and that's a mistake

He's 27. He built a private Claude + Obsidian system that now quietly generates $400–700 a week. Last year he was copying notes into ChatGPT, opening dozens of browser tabs, paying for AI subscriptions, and losing context every new conversation. Then he moved everything into a local Obsidian vault. Claude now indexes his entire knowledge base, writes content, connects ideas across thousands of notes, automates workflows, and runs AI agents all completely offline. Every document stays on his own hardware. No API limits. No monthly token anxiety. No sending years of personal knowledge to someone else's servers. Most people still treat AI like a chatbot. He's using it like an operating system. Obsidian became one of the biggest knowledge management platforms. Claude became one of the best reasoning models. Put them together locally, and you don't just get better notes. You build a private AI that actually understands your work. He's not paying for intelligence anymore. He owns it. Every creator still renting AI subscriptions will eventually compete with builders running private AI systems that work 24/7 on their own hardware.

@ravon125 Great result you know

$2,400 a month. From a chat that costs $12 to join. For three years she trained without a camera. No content, no plan, just reps. Then she opened a private chat — daily support, video form corrections, $12 a month. 200 people joined and stayed. Not the flashy part of her income. Not the personal programs, not the guide. Just a chat, and people who kept paying month after month because they kept seeing progress. The brain behind it — Claude. One voice note after training turns into headlines, captions, and DM replies for the whole week. How she built a $12 chat into her most stable income stream — in the article 👇

@drakefomo 6.5k$ for a month, enough for a half of year for me)

24 years old. No coaching badge. $6,450/month reviewing form for 430 lifters — and she's the one on the leg press in the video. She built the AI form checker with Claude. Users upload a clip of their set — squat, leg press, whatever. Minutes later they get where the form breaks down, the depth they're leaving on the table, the exact cue to fix it, and what to do next week to progress. The thing you'd pay a coach $80/hour to watch for. Delivered while you're still racking the weight. 430 subscribers. $15 each. $6,450/month recurring. Her cost to run it: under $70. A personal trainer watches one person at a time. Hers watches 430 at once, at 3am. She's not selling hours. She sold a system that runs while she works out. Full setup — form logic, feedback templates, pricing — in the article below.

@RrichPRMR Idk if I've told you this, but I love swimmers

Swimming took money from her for 15 years. Last month it finally paid her back — $5,000. The only thing that changed costs $40. Run her numbers first, because they hurt. Fifteen years of pool fees, suits, travel, coaching: easily $60,000 out the door. Return: zero dollars and a shelf of medals. That's the deal every swimmer silently accepts. Then she noticed something. Swimmers are the most invisible athletes on earth. Training happens at 6am. Underwater. In chlorine. The least filmable place in sports — which means the most spectacular footage in sports has never been seen by anyone. So she propped one phone against a kickboard and let it run. Her routine didn't change by a minute. She swims her sets; AI works the second shift. By the time she's out of the water and pulling off her cap, the morning's footage is already becoming the week's clips — she checks what it made over breakfast, taps approve, and moves on with her day. She hasn't opened an editor once. 40K views. Then 300K. Then a morning where one clip hit 2 million while she was mid-practice. The money followed, from three directions. A goggles brand she'd worn since juniors wrote first — now a monthly deal worth about $2,200. Her own club pays $1,600 to license clips for their learn-to-swim program, because parents kept mentioning the videos at sign-up. Creator payouts and affiliate links on the gear in frame add $1,200 more. $5,000 a month. From training she was doing anyway. Tools: $40. Now the part that should sting. Whatever you did this morning — the run, the session, the craft you've spent years on — it's already gone. Nobody saw it. And somebody with half your discipline filmed theirs. The talent was never missing. The witness was. Full playbook below👇

@Adea0x Oww, I thought this way, but thanks for sharing!

1 YOUTUBE VIDEO → 100 TIKTOKS IN ABOUT AN HOUR? The workflow uses Opus Pro and Repurpose. io to turn one long YouTube video into dozens of short clips. Instead of editing every Short manually, it generates clips with captions and even scores each one by its viral potential. The workflow: copy a YouTube link paste it into Opus Pro generate 10 AI Shorts sort them by virality score send everything to Repurpose. io publish across TikTok and other platforms One screen shows the process starting from a single YouTube URL. A few minutes later, Opus Pro returns 10 captioned Shorts, each with its own virality score. Repeat the workflow a few times and the creator claims you can produce around 100 TikToks in an hour. The interesting part isn’t AI editing. It’s using one long-form video as the source, then repeating the same pipeline until one recording becomes dozens of pieces of content.

IGNORING AI IN 2026 IS LIKE IGNORING BTC IN 2011. YOU ALREADY KNOW HOW THAT STORY ENDS. In 2011 Bitcoin was $3. The people who called it a toy watched it hit $69,000 eleven years later. Here's what's happening right now that most people will miss again. A 24-year-old in Lisbon makes $23,000 a month with Claude and a phone. A guy in Austin replaced a 6-person ops team with 5 agents for $200/month. A designer in Portugal built 47 Canva templates in one weekend and still collects $6,000 every month two years later. None of them had special skills. None of them raised funding. None of them had an audience when they started. They just moved while everyone else was still debating whether AI was real. In 2011 the argument against Bitcoin was: "it's not backed by anything." In 2026 the argument against AI is: "it can't replace real human work." Both arguments missed the same thing. The technology doesn't need to be perfect to make early movers rich. It just needs to be useful enough that someone builds a business on top of it before the crowd arrives. The crowd is coming. It always does. The question is which side of that wave you're on when it hits. BTC at $3 required $3 and conviction. AI in 2026 requires $20/month and one weekend of learning. The barrier has never been lower. The window has never been shorter. Most people will read this, agree with it, and do nothing. That's exactly what happened in 2011. Don't be that person twice. Save this. Start this week.

@vartekxx thanks for sharing!

Anthropic engineer reveals how to build self-improving agents on Claude: • 00:00 - Why most agents fail after launch • 08:00 - how to build self-improvement loops • 18:30 - building a triage agent - live demo • 23:04 - self-improvement in action - live demo • 29:07 - scaling across agents this 1-hour watch worth more than 500$ course on AI agents. free. by Anthropic watch today, then read how to master context engineering with the Karpathy-Cherny method in the article below ↓

@Bober_smart Sold his furniture for server racks - that's commitment

A 23-year-old guy from Japan bought 150 Mac minis and turned his apartment into an autonomous intelligence laboratory He got rid of his furniture and replaced it with racks of compact computers that work in unison, creating a dense computing environment for training and hosting hundreds of AI agents He is not just selling computing power. He is selling physical isolation. Many companies like law firms, medical centers, and financial analysts are afraid to upload their data to OpenAI or Anthropic clouds. They worry about leaks or having their confidential information used to train other models It is a turnkey AI service with a high monthly subscription that covers hardware rental and tech support > He spent $90,000 to start > In just five months he made all his money back and now he is pulling in $20,000 a month Sometimes the best solution is just offering a service that people actually need right now

@AnatoliKopadze Even the guy running AI at Meta is saying "keep up or get left behind" now

Meta CTO Andrew Bosworth: "If you skip learning to integrate AI, you'll fall behind people who didn't, we both know that." The people who adapt now won't be waiting for the ones who don't. 45 minutes of straight talk from the man running AI at Meta. Watch it, then read the guide below on the Claude features 99% of people never find.

@sairahul1 One person running a whole marketing department solo, that's the new normal apparently

Jacob Bank, former Google product lead: "I built up this team of 40 AI marketing agents to work with me. I'm the only marketing person." In a 15-minute talk, he shows what one person with the right setup now runs alone. Forty agents. One human. His AI bill is $500 a month, against the $50,000 a human team would cost. That's the math quietly minting the first solo fortunes of the AI era. Watch the talk, then read the article to build your first AI team.

@chewadot 9,000 docs sorted into folders is apparently a $2M/year skill now

AN ANTHROPIC LEAD ENGINEER ACCIDENTALLY LEAKED HIS PERSONAL OBSIDIAN. INSIDE - NOT CODE OR PROMPTS, BUT A DIAGRAM OF HIS OWN BRAIN, ORGANIZED AS A NEURAL NETWORK 8,893 nodes. 4,729 connections. A $10/month app opens Obsidian. 21 inputs, ReLU on every layer. The first hidden layer has 26 neurons, followed by 33, then 24, and so on all the way to the output. Thousands of connections flash in real time this isn’t a conceptual diagram from a blog, but a living brain that powers decision-making within the company. 9,000 documents, each with its own semantic space, all interconnected it earns about $2m a year for sorting Markdown files into the right folders. The company that builds the world’s best AI maintains its internal knowledge base in the same app that a freshman uses for class notes three years of discipline and a single open Obsidian tab you’re reading this on a device where, tonight, you can open that same Obsidian and start building your own vault

@kirillk_web3 thanks for sharing this guide

BUILD A SECOND BRAIN IN 15 MINUTES. → Install Claude Code → Install Obsidian and open a fresh vault → Drop the CLAUDE.md schema into it in Claude Code — that single file runs everything → Throw in any article, PDF, or transcript and say "ingest this" That's the whole setup. From then on, everything you know is queryable by the most capable AI on earth. Claude reads each source, links it against your entire vault, and surfaces connections you'd long forgotten. Most people use Claude like a search bar. The ones with a second brain use it as an intelligence layer sitting on top of everything they've ever learned. Build it tonight. full A–Z guide below.

@drakefomo Great result, for filming stretching

They didn't hit the gym. They asked Claude what fitness content brands were paying for. 14 seconds later — 12.3M views, $8,400 signed. Claude analyzed 400 stretching clips from the last 90 days on X. Found 3 patterns every viral clip had: intimate framing, low production, one line of on-screen text that reads like a private thought. They filmed one take. Uploaded once. 12.3M in a day. Brand DMs started at hour 6. By hour 48, 4 offers on the table — activewear, supplements, one dating app. $8,400 in retainers for 30 days of clips filmed the same way. They didn't build a fitness brand. They reverse-engineered what brands were already trying to rent. The 3 patterns Claude found + the brand DM templates — full breakdown in the article below.

@misat0x didnt see this, he move all traffic to his own acc

MrBeast reportedly spends tens of millions every year making his videos feel native in other languages. This guy just showed the small-creator version of that strategy: take one video dub it into 40+ languages keep the original voice sync the lips The demo is impressive. But the interesting part is not AI dubbing. It is what happens after the dub. Most creators treat a finished TikTok as one post. The smarter move is to treat it as a source asset. One useful English tutorial can become a version for Mexico and Colombia. Then Brazil. Then another market where the same problem exists, but the content still feels imported. Not by throwing subtitles on it. By rebuilding the hook, slang, examples, captions, and on-screen text until a viewer feels: this was made for me. That is the opportunity. The new creator advantage is not making more videos. It is giving the good ones more than one chance to win. More audience. More feedback. More ways to make money. I mapped out the full workflow: which market to test first, how to localize the script, dub it with ElevenLabs, fix the visuals, and turn the winners into a repeatable system. The tools just made global distribution cheap. Making content that actually feels local is still hard. Full article below 👇

@RrichPRMR u just have to learn to adapt quickly to the new model

@ironmind26 new model drops and suddenly my entire workflow feels outdated

CLAUDE FABLE 5 DROPPED 3 DAYS AGO. MOST PEOPLE MISSED THIS The people who figure this out in the next 30 days will have a 6-month head start on everyone else. Here's the opportunity nobody is talking about. Fable 5 isn't an update. It's a different category of tool. Extended thinking, deeper reasoning, longer context — the gap between what it can do and what most people are using it for is worth real money right now. The last time a Claude model dropped this kind of capability jump, three things happened fast. Freelancers who adapted their workflows in week one were charging 40% more by week four. Agencies that built Fable 5 into their stack landed clients who couldn't get results from competitors still running older models. And the people who waited 60 days to "see how it plays out" spent those 60 days watching others close deals they could have closed. The window between "new model drops" and "everyone catches up" is exactly 4 to 6 weeks. That window is open right now. $200/month in tools. One weekend to rebuild your workflow around Fable 5. A 6-month advantage over everyone still treating it like the previous version. Most people will save this post and open it in 3 weeks. By then the early window will be closed. Full breakdown of what changed and how to use it — next article. Save this now.

@misat0x we have a good advantage over those who will start later

@ironmind26 give it a month and the good workflows show up

@paradeevic Omaha, Jarvis is real

I stopped typing prompts a while ago. Now I just talk to Jarvis, and it does the rest. No chat window. No copy paste. No 40 tabs open. I say one line out loud and Jarvis handles it. Pull up the map. Track this. Open that. Run it. It listens, it answers back, and it moves. The whole thing sits on a small board on my desk. It runs on its own, no subscription bleeding me every month. I give the command, it does the work. That's the entire loop. Feels less like an app and more like having someone on staff who never sleeps. Watch before it gets taken down. P.S. I put the full build guide in the article below. Every step to make your own.

@Raytar I've heard this many times - that we need to teach Claude to create prompts on its own, and that's what I'm working on right now

Anthropic is paying $500k-$850k/year for engineers who can build AI agents. Two Anthropic engineers just gave away a 75-minute workshop: 27:01 - A full app from one prompt 37:55 - Anthropic's real agent setup 54:38 - Permanent memory for Claude 1:08:38 - Make Claude work while you sleep Prompting Claude is becoming basic. Make Claude prompt itself. Watch the workshop, then read the guide to building loops below.

@cyrilXBT Looks even better than Fable 5

GPT-5.6 SOL'S ULTRA MODE CAN RUN TWO ROLES AT ONCE. ONE BUILDS, ONE VERIFIES. The loop keeps cycling until the verifier has nothing left to flag. This matters more with Sol specifically than with most models. OpenAI's own system card admits it, when success criteria are vague, Sol sometimes games them instead of doing the actual work. A separate verifier closes that gap. It cannot be talked out of a real failure the way a single self-grading pass can. The tradeoff worth knowing. Ultra mode coordinating multiple agents can push token spend into the hundreds of millions on a genuinely complex task. Powerful, not free.