SSSvinosvin

@RrichPRMR thank you very much, friend

@SSSvinosvin this would've saved me so much time

PART 5. Building in public I made my own MEDIA CONVERTER What's up, guys? I often have to edit videos and I'm really tired of searching for converter sites And almost always, if I use a reference video, the audio track doesn't work when I export it to DaVinci Resolve I don't know why But I have to extract it from various websites, including converting the video to another format after editing. Of cource, they have free limits, and you often hit them So, I figured it wouldn't be that hard to create my own converter, so I decided to share it with you It's pretty easy to install If needed, I can create an installer to avoid any unnecessary hassle with GitHub =================================== 17 input types. 11 output options. a small desktop converter with bundled FFmpeg -> video: mp4, mkv, mov, webm, avi -> image: png, jpg, webp, bmp, tiff -> audio: extract WAV from video No browser uploads No separate FFmpeg install share your projects in the comments! =================================== github link: github.com/svinosvin/Conv…

@RrichPRMR my heart is taken) in this case only on stage among bodybuilders

@SSSvinosvin compete for your heart ?)

She films 15-second gym clips and makes $7,700/month. Not from brand deals. From a $34 program AI helped her build. Here's how. Her clips do one job: make you stop scrolling. No teaching, no talking. Fifteen seconds of a clean set, and every clip ends the same way — free starter guide in bio. That guide is the trap, in the good sense. To get it, you drop your email. A follower is rented from the algorithm. An email is hers forever and a list buys at a completely different rate than a feed. The system, step by step: She trains 4 times a week and films 2–3 exercises each session. AI cuts that into ~20 clips, writes the hooks, and schedules the week across TikTok, Reels and Shorts. Her editing time: zero. The clips pull 2-3M blended views a month. About 2,500 of those viewers grab the free guide. Her list grows by that much every month, compounding. Once a month she emails the list one offer: a $34 twelve-week program. She wrote the training herself — AI structured it into weeks, wrote the explanations, formatted the PDF. Built once, updated never. Roughly 1 in 11 new subscribers buys, plus a steady drip from older subscribers. That's ~225 sales a month. 225 × $34 = $7,650. Round it with a few affiliate sales from the guide itself — $7,700. Costs: about $40 in tools. No inventory, no clients, no calls. The girl filming next to her posts the same set, gets 40 likes, starts over tomorrow. Same footage. One collects likes. The other collects emails. Attention is free. She just refuses to waste it. Full playbook below👇

@misat0x lool are you also tired of what's happening in your feed?xD

@SSSvinosvin finally rly useful content on X)

@yurshevv You are a master at collecting and sharing information and I like it

You're probably one hour away from using Claude 10x better than you do today. Not because you'll memorize prompts. Because you'll finally understand how to build with it instead of just chatting with it. Most people use Claude like a search engine. Ask a question. Copy the answer. Close the tab. Then wonder why everyone else seems to be making money with AI. The biggest shift isn't learning more prompts. It's learning how to build systems. How to automate repetitive work. How to create AI agents that keep working after you've closed your laptop. How to turn an idea into something people actually pay for. That's exactly what this Claude course teaches. Not theory. Not AI news. Real workflows you can start using immediately. The people who get the biggest return from AI aren't constantly looking for the next tool. They're mastering the one they already have. One focused hour tonight could completely change how you use AI for the rest of the year. Question: what's one task you still do manually every week that Claude should already be doing for you?

@rileywestreel definitely I have already experienced it in this video ty for the reply

@SSSvinosvin This is genuinely useful, way better than random converter sites.

@rileywestreel good note about retirement 😂

Jordan Belfort, the "Wolf of Wall Street" who did time for fraud, now teaches a boring, safe formula instead. A $1 billion hedge fund collects $20 million a year before it even starts, plus 20% of profits. And it almost never beats the S&P 500. "Index fund on the S&P 500... some bonds, depending on your age... cash for emergencies... and let's say 5% for speculation," Belfort says. "There's nothing wrong with speculating, it's fun. Just don't secure your retirement with it," he adds. See below ↓

@raidenfomo This guy really doesn't waste any time while everyone else is stuck with subscriptions, he found a way to do it cheaper and locally, without any data leaks. Nice job

THIS GUY IN WARSAW KILLED A $412/MONTH AI STACK WITH TWO $180 DELL SERVERS THAT RUN 720 HOURS A MONTH ON $23 OF POWER. He was paying $412 a month for Claude Max, Cursor, Perplexity, and two transcribers he forgot he had signed up for. $4,944 a year to rent compute he never actually owned. Two Dell PowerEdge R730s off a hosting auction: $180 each. 384GB of ECC RAM pulled off scrapped racks on eBay: $280. Four Tesla P40 24GB cards marked as-is, no returns: $80 each. Three booted. The fourth needed 8 minutes in the oven. Total build: $960. Wall meter reads 380 watts under load. Pause at 0:04 on the two CPU sockets under identical heatsinks with every RAM channel filled, that is a build a bank paid $22,000 for in 2018. Runs Qwen 32B and Llama 70B locally. Same weight class as the $200 a month subscriptions. Two environment variables and Claude Code points at his endpoint instead of the cloud. The setup does not know the difference. 720 hours a month. $23 in electricity. Zero data leaving the room. Three developers he knows were paying $200 a month each for Claude and Cursor. He gave them logins to his endpoint for $90 a month. Same models. Less than half the price. The gear a hosting company threw out three months ago now pays his rent. $412 a month for the models everyone rents. $23 for the two boxes doing the work. Save this before every retired R730 on eBay gets bought up.

@RomanCarrot yeah bro, we're moving forward little by little

@SSSvinosvin Wow. Already the 5 part

@yurshevv not the folder being sentient just smart framing this guy turns basic AI footage into leaked evidence context > pixels

@SSSvinosvin calling a basic folder sentient is the entire ai space right now

A 23-year-old creator built an AI archive video that feels more real than most horror films No actors No rented location No camera crew Just an empty room, a fixed camera, and the right story around the footage He did not make the video look cinematic He made it look like evidence The clip is framed as a recording from a camera installed by specialists of the 25th Archive inside Object No. 7. That one detail changes everything It is no longer “AI horror.” It is a file from an organization that should not exist. Pause at 0:02. The room is almost too empty. Flat walls. bad lighting. dead geometry. Nothing jumps out. Nothing explains itself The frame just sits there and makes you search every corner That is the hook. The horror is not the creature. The horror is the system around it. Object No. 7 -> camera installed by specialists -> archive language -> fixed surveillance angle -> no music -> no explanation Most creators try to make AI video look expensive. He went the other way. He made it look boring, compressed, procedural, and slightly broken. The kind of footage that feels like it came from an internal folder nobody was supposed to open. Pause at 0:07. This is where your brain stops watching normally. You start scanning the frame. Doorways. shadows. empty space. The background becomes the main character. That is how found footage works You do not show everything You make the viewer search for it The smart part is the title. “25th Archive” implies history. “Object No. 7” implies there are more. The video becomes one piece of a bigger fictional system. And that is why it works The creator is not just generating a scene He is generating context A file name. A camera source. A reason the footage exists. A reason it was recorded. A reason it feels incomplete That is the new AI video skill Not better monsters Better evidence Save this The next viral AI horror will not look like a movie It will look like a leaked folder reference: @archivus25" target="_blank" rel="nofollow noopener">tiktok.com/@archivus25

@RrichPRMR This gym's scheme is pumping up the wallet

She makes $5,800/month from reformer Pilates videos without a studio, a course, or her own product. Here's how. Reformer Pilates is having its biggest moment ever, and there's a quiet gap almost nobody's filling: everyone wants to start, but the good content lives inside expensive studios. So she films what people can't easily see — clean, close, aesthetic reformer sessions — and became the account beginners follow to learn the movements. She's not selling anything of her own. Here's the actual money. The mechanism is affiliate. Getting into reformer Pilates is a shopping event: an at-home reformer runs $500–2,000, and people also buy grip socks, a mat, resistance bands, the outfit. When she shows the machine she uses or the socks she wears, she links them and earns a commission every time a follower buys. She didn't create a single product. She just points people toward the gear they were already going to buy to start. That's why it pays so well. One at-home reformer sale can be worth $30–80 in commission, and her audience is in buying mode — they're not casually watching, they're deciding whether to start. A steady stream of gear sales plus the small stuff (socks, apparel, accessories) adding up in the background lands around $5,800 a month. Here's where AI comes in, and where it doesn't. She films a few minutes whenever she trains — no shoot days. AI does the production: cuts the clips, writes the hooks, the captions, the on-screen cues, and schedules the posts. That's it. It doesn't pick her products and it doesn't run her links — she decides what she'll actually recommend, because that trust is the whole reason people buy. AI is the editor. She's the judgment. The part worth sitting with: she didn't build a business from scratch. She got into a hobby at the exact moment everyone else was too, filmed it, and let AI turn her sessions into content pointing at the gear people already wanted. No product, no inventory, no clients — just the right hobby, a camera, and a link. There's a booming niche in your world right now where the buyers have nowhere good to learn. Someone's going to become that account. It might as well be you. Full playbook below👇

@rileywestreel "20M+ lines of code" These are simply incredible numbers

Niklas Gustavsson, Spotify chief architect: "It took us from a 20 to 30% success rate on pull request to 80%." Then the models got good enough that they deleted the very judge that did it. in a 26 minute interview, Niklas reveals how Spotify now runs agents across 20M+ lines of code. judge for verification + full test automation + one standard codebase = agents Claude doesn't get confused by. 4,500+ production deploys a day. 73% of pull request now written by AI. Watch the full interview, then read the breakdown below. Save this post so the formula is on hand.

@RomanCarrot Yes, it's turning out very cool bro

@SSSvinosvin this looks really scary

@yurshevv great article bro, keep it up

A 24-year-old built an AI employee with Claude. It saves him 10+ hours every week. Now he's using that time to make an extra $3,000–$8,000/month instead of answering emails. Here's exactly how. Most people still use AI like Google. He turned it into a full-time assistant. Every morning it already has: • his inbox organized • documents sorted • reports drafted • tasks prioritized • repetitive work finished before he opens his laptop. No coding. No API. No terminal. Just connect your apps, give it a goal, and let it work. The crazy part? One freelancer shared that automating his client workflow let him take on 3 extra clients, adding over $5,000/month. Another creator cut 15+ hours of admin every week and used that time to grow a second income stream. This isn't about saving time. It's about buying back hours you can turn into money. The setup is ridiculously simple: → Give AI a goal. → Connect the tools you already use. → Schedule it once. → Wake up with the work already done. Instead of paying an assistant $2,000/month… You're getting one for less than the cost of dinner. This is probably the closest thing to having an employee without actually hiring one. Watch the full setup and steal the system before everyone else does.

A 25-year-old creator built a fake horror medical archive that feels more real than most AI short films Not because it looks expensive Because it looks like something you were not supposed to find The video is framed like a clinical record about Leckel- Kartsev disease, a rare pathological condition that appears after contact with an entity called “The Puppeteer.” That sentence alone does half the work. It does not sound like a monster video. It sounds like a file. A case report. A government note. A hospital archive. Something copied from an old database and uploaded years later. Pause at 0:02. The trick is not the horror. The trick is the format. Dry language. Medical wording. No dramatic setup. It treats the impossible like paperwork. That is why it feels believable. Most AI horror videos scream at you. This one whispers through documentation. rare condition low probability contact event coded entity name recovery protocol clinical language The creator is not trying to show a creature first. He is building the institution around it. The disease has a name. The entity has a code name. The symptoms sound categorized. The world feels like it has rules before the viewer even sees proof. That is the whole formula. Make the fake system feel real, then let the video live inside it. Pause at 0:07. If the visuals are degraded, compressed, or slightly wrong, that helps. Your brain does not read it as bad generation. It reads it as old footage. The less polished it looks, the more dangerous it feels. This is where realistic AI video is going. Not glossy monsters. Not cinematic trailers. Fake archives. Medical files. Student recordings. CCTV incidents. Training tapes. Local reports from places that never existed The new skill is not prompting a scary scene The new skill is inventing the evidence around it A name A date A diagnosis A camera source A reason the file survived A reason it cuts off That is how you make people watch twice It will look like documentation. reference: @archivus25" target="_blank" rel="nofollow noopener">tiktok.com/@archivus25 Save this. The next viral AI horror will not look like a movie.

@RrichPRMR for her the biggest challenge is to create a training program

She makes $7,000/month selling 1 workout PDF — off leg-day videos anyone could film. AI does everything but the training. Here's how. Look at what she actually posts. Not a thirst trap, not a flex — "leg day, 5 exercises," heel-elevated squats, leg press 3×10, RDLs, hamstring curls, sets written right on screen. It's a workout you could copy in the gym tomorrow. That's the entire business. Because content like this doesn't make people think "wow, she's fit." It makes them think "I want to train like that — but I wouldn't know what to do on my own." That thought is the whole product. Every save is someone quietly raising their hand to be sold a plan. So she gave them the simplest possible thing to buy. Here's the actual structure — and notice how little there is to it. The product. Not an app. Not a course. A PDF. Her real training programs — leg day, push, pull, the full weekly split — written out with exercises, sets, and reps, plus a link to a clip of each movement. She made it once. There's no code, no shipping, no updates required. A file on a free page (Stan or Gumroad), linked in her bio, that sells while she sleeps. She charges around $25 for it. The content engine. She films two or three exercises whenever she trains - no shoot days, no tripod, just her sets. That footage goes into AI, which does the grind: cuts each clip, writes the hooks, the captions, the on-screen exercise text, and schedules the week. She never opens an editor. By the time she leaves the gym, days of content are queued. The funnel. Every clip ends the same way: the workout is free to watch, but "the full 6-week plan is in my bio." The content isn't the product — it's a free sample running 24/7. Someone watches a leg day, thinks "I'd never program this myself," and clicks. Free on the outside, paid plan on the inside. The math and why it's actually reachable. At $25 a pop, she needs about 280 sales a month. Across clips that regularly pull tens or hundreds of thousands of views, that's a small fraction of a percent buying, not a viral month, a normal one. 280 × $25 is roughly $7,000. No inventory, no clients to manage, no per-sale cost. Her tools to run the content sit around $40 a month. Sale number 281 costs her nothing. The part worth sitting with: she didn't build a company. She wrote down the workouts she already does, saved them as a file, and let AI turn her training into an ad for it — every day, for free. The hard part was never the product. It was producing content consistently, and that's the exact part AI erased. There's a version of this in your niche with no one running it. Someone's going to turn their own workouts into a simple product like this. It might as well be you. Full playbook below. 👇