
Superior
@andreysuperior • 9,284 subscribers
reading the future for a living. occasionally posting it.
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While everyone is building Obsidian second brains, this German developer built something that actually runs his business. Seven workflows. A waiting list. Clients paying him to set up their own. That's not a chatbot on his screen. It's his operations team. The one that doesn't sleep, doesn't forget, and doesn't need to be told the same thing twice. He watched an AI build a full game on a single voice command in five seconds. Then it said: "One of us has to keep working." A year ago he was doing all of it himself. Leads unanswered. Invoices unfollowed. Reports unfinished. Competitor moves nobody caught. He talked to seven workflows instead. Described what he needed. They listened once and haven't stopped since. No prompt engineering. No re-explaining context. No starting from scratch every Monday morning. The leads qualify themselves now. The invoices chase themselves. The reports arrive before anyone wakes up. The competitor intel lands every Friday whether anyone asked or not. He checked in once this week. The business hadn't noticed he was gone.
Superior317,544 views • 21 days ago

Most people buy assets based on feelings. There's a 26-hour MIT course that proves exactly how much that costs them. Ricardo Caballero. Former head of MIT's economics department. One of the most cited macroeconomists on the planet. He doesn't teach you "investing." He teaches you the one formula that prices every asset on Earth. Present discounted value. Sounds boring? That's why most people will never learn it. Here's what Caballero shows in the first few lectures alone. Every stock, bond, and property you've ever bought is just future cash flows divided by a discount rate. Change the rate by 1%, and billions move. Not because anything real changed. Because one number in one equation shifted. And the Fed controls that number. They raise it. Your portfolio drops 30%. They cut it. You feel rich again. Same companies. Same earnings. Same economy. Different price. Now think about that. Every time you panicked and sold at the bottom, someone who understood this formula was on the other side of your trade. Buying. Calmly. Mathematically. Caballero proves it with bonds first because the math is naked. Then equities. Then he gets to bubbles, where he shows the exact moment prices disconnect from the formula and crowds start trading stories instead of numbers. I've sat through lectures from Harvard, Yale, Stanford. None of them made me feel this stupid this fast. That's how you know it's good. Save this. Watch it on 1x. You'll want to rewind.
Superior48,825 views • 5 days ago

He walked into a restaurant during a quiet Tuesday afternoon. He didn't pitch software. He showed the owner his phone. "Type an order like a customer would." The chatbot took the order, confirmed the table, logged it in a Google Sheet, and sent it to the kitchen in under two seconds. The owner asked how much. "$500/month. First month free. If it doesn't save your staff real time, you owe nothing." That conversation has played out 30 times. It closed 30 times. 30 clients. $500/month each. 4 hours of setup per restaurant. 93% margin. Over 1 million restaurants in the US. Fewer than 3% have this. He just keeps walking in during quiet Tuesday afternoons.
Superior836,232 views • 3 months ago

The companies charging $200/month for AI assumed local hardware would never catch up. It caught up. He's assembling the proof right now. A PC that runs Qwen 3.6 27B a free model that beats Claude on vision by 7 points. DeepSeek R1 for math and reasoning. Llama 3.3 70B for everything else. All local. All free. All forever. Electricity: $9/month. Subscriptions: $0. He used to pay $459/month for Claude Code, ChatGPT Pro, and Cursor. That's $5,500 a year going to someone else's servers. The hardware he's building costs less than one year of that bill. And it never sends another invoice. He's still assembling it. The subscription renewal reminder hit his inbox while he was putting it together. He ignored it.
Superior444,762 views • 1 month ago

This girl made $10,000 without leaving her room. She opened YouTube. Found a kids video with 40 million views. Nobody's name on the channel. No face anywhere. Just a cartoon about counting and colors. She copied the link. Pasted it into PixArt Flow. Pressed generate. Five minutes later she had a video that looked exactly like it. She posted it. Went to sleep. Woke up to 4,000 views. A 3 year old doesn't have a skip button in their head. They just watch. Until the screen goes dark. Then they cry until someone turns it back on. YouTube counts every second of that. Rewards it. Pushes the video to the next kid. $66/month in tools. No face. No name on the channel. Month 3. $10,000. She still doesn't have her name on anything.
Superior564,653 views • 2 months ago

Do you actually understand what's happening right now. Everyone is talking about AI agents. Nobody is talking about selling them as a business. And this guy just literally built himself a system on a mini PC that makes $20,000/month doing exactly that. Small businesses are paying $20,000-$30,000/month for ops teams doing repetitive work. He replaces 80% of it with Claude agents for $200/month in tools. Charges $2,500/month to maintain them. The client is saving money from day one. He's collecting a retainer forever. 8 clients. $20,000/month. 85% margin. Every business in your city is a potential client. Most of them have never heard of n8n or Claude API. They just know their team spends too much time on things that should be automatic. That's the pitch. That's the business. Most people are still watching. A few are already billing.
Superior287,376 views • 1 month ago

NVIDIA will cut your power bill if you let them bolt a $1,000,000 data center to your house. Or spend $2,999 and make $22,000. Option 1, they bolt 16 Blackwell chips to the outside of your house. You get free internet, battery backup, cheaper electricity. They get a million-dollar asset running 24/7 on your property, serving requests for Amazon, Microsoft, Google. Option 2, you buy a DGX Spark for $2,999. Size of a paperback. Sits on your desk. 128GB memory. Runs a 70B model locally. $10/month in electricity. No data leaves the room. Paid for itself in 6 weeks for someone spending $1,900/month on cloud GPU rentals. $22,000 back in year one. One option, you're the infrastructure. Other option, you own it. Same NVIDIA chips. Very different contracts.
Superior387,708 views • 2 months ago

She said she was kind of stupid, but she made $20,000 and her face was never on screen. She opened YouTube and found a kids' show with millions of views. Went to the description. Found the transcript. Copied it into Claude. Asked it to make a prompt for a similar video. Pasted that prompt into an AI generator. A few minutes later she had a video. She posted it. Then did the same thing the next day. And every day after for 30 days. Nobody knew who she was. YouTube paid her anyway. By the end of the month, YouTube was paying her. The system didn't require talent. It just required repetition.
Superior353,232 views • 2 months ago

David Swensen took $1 billion and turned it into $16.7 billion using three ideas that fit on a napkin. He did not pick winning stocks. He did not time the market. He did not use a secret formula. He diversified, he rebalanced, and he never panicked. He ran Yale's endowment for 25 years. When Barron's attacked his model during the 2008 crisis, he carried the article in his pocket like a receipt he planned to return. The data returned it for him. Yale's 20-year return: 13.1% per annum. Average university endowment: 8.8%. The gap created $12.1 billion in added value. Not from genius trades. From not making stupid ones. Swensen proved something the article below gets exactly right. There are only four engines of wealth. Most people run one. Labor. They never turn on the second. The ones who do still lose. Morningstar studied every U.S. mutual fund category over a decade. All 17 categories. Investors earned less than the funds they invested in. They bought after rallies. Sold after crashes. The top 10 internet funds returned 1.5% annually across the bubble. Investors lost 72% of what they put in. Same funds. Same period. Timing is not a strategy. It is an emotion with a brokerage account. Swensen's advice for individuals is six words. Index funds. Automate it. Do not touch. That is the entire second engine. The math is free. The discipline is the only part that costs anything.
Superior27,716 views • 6 days ago

TikTok's algorithm doesn't know she's not real. It just sees a video about jelly bras getting clicks, watch time, and purchases. $75,000 in revenue. From one AI-generated video copying the most profitable TikTok Shop post ever made. Watch until 0:26. That's where he shows the number. The original made $1.4 million. He took the blueprint and rebuilt it with Higgsfield, ElevenLabs, and Claude. $50-$150/month in tools. $75,000 in commission. TikTok Shop GMV hit $66 billion in 2026. The winning products pay up to 20% commission. Find the top-performing video in a niche. Recreate it with an AI model. Test 10 hook variants. Post. The algorithm rewards what works. It doesn't ask who made it.
Superior264,392 views • 2 months ago

Your kid has watched that cartoon 40 times this week. Nobody created it, but this girl earned $20,000 from it. No animator. No studio. No team of writers sitting in a meeting room arguing about a talking dog. One person. Claude wrote the script. Pixar Flow animated it. ElevenLabs voiced it. The whole thing built in 5 minutes from a template that already existed. Your kid watched it anyway. Finished it. Asked to watch it again. Kids content keeps viewers watching longer than almost any other niche on YouTube. $20 subscription. 5 minutes per video. One upload a day. The cartoon your kid won't stop watching. Someone made that between breakfast and work.
Superior168,540 views • 2 months ago

Do you actually understand what happened to Twitter's servers. He found one listed online for almost nothing. Bought it before anyone else figured out what it was. Spent a weekend putting it together in an old case he had sitting in the garage. He bought one. Paired it with 512 gigabytes of RAM across eight channels. Dropped in a 3090 for image and video generation on the side. The setup runs DeepSeek 671B, the entire model, no quantization tricks, loaded fully into memory. The people selling $412/month AI subscriptions are running hardware like this in data centers and charging you monthly to access a fraction of it. He just owns his fraction now.
Superior73,266 views • 1 month ago

Do you actually understand what's happening. He built a personal local AI voice agent that fits in your pocket. Clients pay him $2,500/month to have one. It runs locally. No cloud. No rate limits. No data going anywhere. You talk to it and it acts in real systems, automatically, without a human in the loop. He looked at that device and didn't think about using it himself. He thought about who would pay him to build one for them. $28,000/month ops team. Five agents. $200/month in tools. Client saves $22,000. He earns $2,500/month to maintain it. They never cancel. Canceling means hiring the team back. 8 clients. $20,000/month recurring. Everyone is talking about AI voice agents like they're a personal productivity tool. He turned one into a business. Different outcome.
Superior71,054 views • 1 month ago

Everyone said YouTube doesn't pay like it used to. She's making $20,000 a month off iPad babies. Kids content. The niche nobody takes seriously until they see the numbers. A 15 second vertical video. Stuffed animals singing a lullaby. Made in 3 minutes with an AI prompt and a Pixar Flow template. Posted every day. Hundreds of thousands of views per video. $15-$40 per 1,000 views on kids content. iPad babies watch the same video. YouTube sees that retention and pushes it to more kids. $66/month in tools. $20,000/month at scale. She said everyone told her YouTube doesn't pay like it used to. She's right. It pays better. iPad babies are still going strong.
Superior89,698 views • 2 months ago

They won't tell you that. But this is what AI subscription companies are afraid of. A guy assembling a small box on a desk. $700 in parts. One weekend. Two commands in a terminal. Six agents online. Research, writing, QA, publishing, monitoring. All running locally on hardware he owns, free to call, forever. The $110 a month he used to pay in subscriptions stopped the day he powered it on. He picked one business model and built it properly. Content agency. Fifteen clients. Four hours of work a week from him. The agents handle everything else while he sleeps. Everyone is paying monthly for AI they will never own. He built his in a weekend. They're still sending him renewal emails.
Superior52,536 views • 1 month ago

Do you actually understand what $20,000 a month looks like when you build it properly. Not 20 clients at $1,000. Not 100 clients at $200. 8 clients. $2,500 each. Agents doing the work. Him maintaining the system. Lead qualification running 24 hours a day. Support tickets handled in seconds. Invoices chased automatically on day 7, day 14, day 21. Meeting briefs landing in inboxes 60 minutes before every call. Competitor reports delivered every Friday at 3pm. Total tool cost on his side: $200 a month. He built the system once. Packaged it. Now he's selling the codebase to people who want to do the same. The agents were always the product. He just figured it out earlier than most.
Superior52,404 views • 1 month ago

168 million views on a kids video. $1,000-$5,000 per million views. That one video paid somewhere between $168,000 and $840,000. Your kid might have been one of those 168 million. They watched it twice. Maybe ten times. Maybe they fell asleep to it and woke up and watched it again. Every replay is a watch-time signal. YouTube sees it and pushes the video further. More kids. More replays. More signals. The person who made it spent 30 seconds on Pixar Flow. $66/month in tools. Claude for the script. ElevenLabs for the voice. The rest is just uploading. Your kid is out there right now funding someone's YouTube channel. The question is whether it's yours.
Superior75,909 views • 2 months ago

A kid in his tshirt sold an AI receptionist to a hair salon while drinking coffee. $399 a month from the one client. 30 minutes of work. He opened vacancies. Found a salon in Bay Park about to hire someone for $3,000 a month. Copied their website. ChatGPT wrote the system prompt. He dropped it into VAPI. 20 minutes later there was a voice agent answering calls in the salon's tone. He called the salon. Said nobody picked up yesterday. The owner apologized. The kid said cool, I built you an AI receptionist that answers 24/7. Want to hear it? He played the demo on the phone. The owner thinks he spent a week on it. He charges $399 a month. They save $2,600. He has 30 clients. His full setup is below.
Superior47,818 views • 2 months ago

A software company had 10 people in operations. None of them made strategic decisions. All of them followed processes that hadn't changed in six month. One person looked at that and didn't think about hiring number eleven. He thought about what would happen if the processes ran themselves. 40 hours later he had 7 workflows. Claude reads the lead form, scores it, writes a reply that sounds human, and logs everything to the CRM before the sales team finishes their coffee. Another workflow pulls data from five platforms every Sunday night and delivers a report at 8am Monday. The team reads it. Nobody wrote it. But here's what's different from every other automation story. His agents share a memory system. A visual graph where every piece of context connects to every other piece. You can scroll through it and watch the web of knowledge grow in real time. The bots don't start fresh every run. They build on what they already know. Everyone else is building automations that forget. He built ones that remember. Different infrastructure. Different outcome.
Superior15,602 views • 16 days ago

Do you actually understand what's happening. He built an AI box that costs less than one month of AI subscriptions. He built his for under $200. A Raspberry Pi 5 with a touchscreen and a power bank. He almost didn't bother. It looked too simple to matter. Then he ran two commands, connected six agents, and watched it start handling work he used to pay $250/month in subscriptions for. Month two cost: $3 in electricity. Now he shows people the setup and watches their faces. It still looks like a toy. It stopped being one around the time the first invoice came in.
Superior41,136 views • 1 month ago