Adea

hey, i’m Adea been in crypto for ~4 years now. started with nft degen stuff, survived meme coin trenches and somehow ended up falling into AI rabbit holes. on this account i’ll mostly post about crypto, AI, internet things i find interesting and whatever else i’m currently obsessed with at 2am. still pretty new to posting consistently, so i appreciate every follow & mutual ♡

@DfxoqEth people keep debating AI meanwhile this kid is just stacking reps!!

A 13 year old solved this in 39 seconds. I have seen senior developers take 3 days on the same level problem Pause at 0:17. That is not a school assignment. That is Codeforces. The platform where developers with 5 years of experience open Stack Overflow on the second monitor before they even read the full problem He just typed Timer hit zero. Accepted. Thumbs up No tutor. No bootcamp. No $4,000 course A MacBook Air, a YouTube playlist, and 8 months of doing it every single day after school His classmates are using AI to skip the thinking He is using it to think faster There is a difference. It does not show up now It shows up in 10 years when everyone who skipped the hard part has nothing left to fall back on The internet said learning to code is pointless. AI will do it all A 13 year old is in his bedroom getting faster at it anyway. He did not get the memo Save this. The kids who do the hard work while everyone else skips it are the ones who will not be replaceable

@0xkerazcity feels like the hardware gets all the attention while the real value is usually in the system around it

A 26-year-old built a 5 Mac Mini AI cluster. Now it generates $11,840/month. He connected 5 Mac Minis with EXO and built a system that reads books, processes information, and generates audio automatically. The stack keeps running while he sleeps. The result? $11,840/month coming in. Roughly $23/month going out in electricity. Infrastructure became a business. While most people are still consuming AI, others are quietly building machines that produce with it. Bookmark this before local AI businesses become mainstream. 👇

@0xWast3 honestly the honesty upgrade might matter more than any benchmark increase less pretending, more uncertainty reporting

@ashercrw and we’re probably still early tbh

@Adea0x Can do this all and even more

THIS GUY JUST COLLAPSED A $10K STUDIO PIPELINE INTO A 60-SECOND TIKTOK. Watch at least until 0:15 to see what he has: one clip, photos in, walkable 3D scenes out. Blender + photogrammetry + AI. No film school. No render farm. No NDA. Just a phone, a free app, and a technique most studios were quietly billing five figures for. The wild part is the comments. Half the replies are creators arguing over the tool stack (Scaniverse vs iPhone Pro LiDAR). The other half are people begging him for his subtitle-animation preset, because everyone noticed the editing is as advanced as the 3D. Two pipelines in one video and nobody's sure which one to copy first. Here's what he's actually showing: Capture the subject with a phone. Scaniverse is free. iPhone Pro with LiDAR is the high end. Pull the scan into Blender as a 3D model. Refine with AI (NeRF / Gaussian Splatting workflows depending on what you're going for). Export the asset, drop it into anything. Now the price tag of doing that the old way: Photogrammetry rig: $3,000 to $15,000. Studio lighting: $1,000 to $3,000. 3D artist on retainer: $4,000 to $8,000/month. Render-farm time on top. A 19-year-old with a phone now ships in an afternoon what used to take a studio a week. Someone in the replies wrote "that is NOT gaussian splat" and the whole thread blew up arguing semantics. Doesn't matter. The semantic war is the distraction. The actual story is that the high-end 3D look just became reproducible by anyone with a $0 budget and a weekend. Every product brand. Every real-estate agent. Every wedding videographer. Every indie filmmaker. All of them now competing with kids who learned this off a 60-second clip. The window where being "the 3D scan guy" was a moat? Closing. Fast.

@skynews357 ngl once most of your workflow runs locally it’s hard not to look at every subscription twice

A girl replaced a $459/month AI stack with a $599 Mac Mini. A few months later: Her bill dropped to ~$23/month. She got tired of paying for Claude, ChatGPT, Cursor and API usage every month. So she moved most of the workflow local. Mac Mini M4. Ollama. Open WebUI. Hermes. Local models handled the routine work. Writing. Coding. Search. Private workflows. Cloud stayed for the hardest tasks. Most people think AI costs scale with usage. A small group is turning subscriptions into owned compute. Once most of the work runs from a box on your desk, paying full price for every request starts feeling strange. Bookmark this before local AI becomes mainstream 👇

@gippp69 people keep focusing on the tools the value is usually in how they’re connected together

THIS GUY TURNED BODY MOTION INTO A $8,600/MONTH AI ANIMATION PIPELINE. 6 TOOLS, $124/MONTH, 5 HOURS TO SET UP he is not animating frame by frame. he records movement once, sends it into the pipeline, and the character does the work on screen the stack is simple: claude writes the scene, midjourney builds the character frames, runway gives them motion, elevenlabs adds voices, suno adds music, make pushes the whole thing through the workflow the crazy part is the cost. the full setup from the article is $124/month. not a studio, not a team, not a $10k animation rig. just six tools chained together correctly brand explainers are where the money starts making sense. one 90-second animation can sell for $350-$800, while the pipeline cost per video is around $12. that margin is why this works setup takes 5 hours once. after that, the creator mostly directs: pick the story, approve the motion, fix the voice, publish the final cut. the factory keeps producing when the laptop is closed most people still think AI animation is random clips with broken hands. the real edge is the workflow: script, character, motion, voice and music moving through one machine until it outputs a finished asset

A SINGLE FILE TURNED CLAUDE INTO 10 DIFFERENT AI WORKERS No fine-tuning. No agents framework. No custom app. Just a folder with instructions Claude can pick up when the task is relevant. What you can create: > meeting notes → structured action plans
> design briefs → poster concepts
> messy docs → clean summaries
> recurring tasks → reusable workflows
> niche processes → dedicated Claude skills The crazy part? You don’t have to remind Claude every time. Name the skill. Describe when to use it. Write the process once. Claude detects the right skill and runs it when needed. Most people are still writing the same prompt 50 times. Claude Skills turns prompts into reusable software.

A $1,198 MAC MINI SETUP IS REPLACING AI SUBSCRIPTIONS THAT FORGET EVERYTHING Not one chatbot. A team. Each agent has a role: > research
> content
> workflow management
> automation
> system support Everything runs locally. Everything keeps its memory. Most AI agents forget the moment you close the tab. This setup gets smarter every time it's used.

@tweirtc894gwrh thank you!! curious to see how these workflows evolve over the next year

@Adea0x Innovative and efficient approach to AI workforce management.

@Defi_Roxy tbh most people never move from chatting with AI to working with AI

@Adea0x the same prompt 50 times is genuinely how most people use it

@ashercrw the AI girl is the easy part now getting strangers on the internet to care is still the final boss..

THIS 22-YEAR-OLD STACKS $15,000 A MONTH FROM A GIRL WHO DOESN'T EXIST. At 0:05 he shows you the exact three steps, because the screenshots are real and the number at the bottom will ruin your day. Here's the problem everyone hits first. They generate an AI model, it comes out looking like a melted Barbie with dead eyes and plastic skin, they post it, it flops, and they quit. They blame the tool. The tool was never the problem. The PROCESS was. The bar now is a girl who looks like she filmed herself in her bedroom on an iPhone. Freckles. Real skin. Light from an actual window. The slight imperfections a real human has. Hit that bar and nobody, and I mean NOBODY, can tell. Miss it and you're invisible. Three steps. That's the whole thing. STEP 1. Build the reference face with a proper workflow. Not a text prompt. A real node-based workflow that locks one consistent face into place. This is the foundation. Get it right and "she" looks identical in every single photo for the rest of her fake life. Skip it and you get a slightly different woman every post, which screams fake instantly. 90% of people skip this. That's why 90% of people fail. STEP 2. Multiply her with Nano Banana Pro. Take that locked face and run it through Google's Nano Banana Pro edit tool. New poses. New outfits. New cities. New angles. Same exact face every time. One girl, infinite content, total consistency. This is the step that turns a single image into a whole human being with a believable feed. STEP 3. Flood every platform, then cash in. Post her everywhere. TikTok, Reels, Threads, all of it. Volume IS the strategy. Most posts die, a few explode, the explosions build the audience. Then you point that audience at a Fanvue page and watch what happens. And here's what happens. $15,248.54 total earnings since May 2025. $2,178.36 in December alone. The notification feed lighting up with $20 purchase, then another $20, then another, hour after hour, while this guy was literally sitting at a dinner table with a glass of wine. Do the math on the cost side. There is none. No model to pay. No photographer. No location fees. No product samples. No flights. The girl is free. The content is nearly free. The margin is basically the ENTIRE number. Now the part that should make you uncomfortable. Eighteen months ago this was impossible. The outputs were a joke. Six months ago you could still catch them by the hands. Today? They pass. Clean. And every audience getting built right now is getting locked up by whoever moved first. The window where this is rare is the window where it's worth money. Once your neighbor's kid is doing it, it's just the new normal and the edge is gone. It's open right now. Save this. Send it to the friend who swears he missed every single trend. This is the one still sitting at the dock, engine running.

@DfxoqEth the interesting shift is that people are starting to buy compute the way they used to buy software one payment instead of another subscription

@DfxoqEth ngl this is what makes those old tweets hurt a little 😭 the information was public the whole time..

Jason told you to pivot to AI 3 years ago. You bookmarked it and kept scrolling 8.3 million people saw that tweet A few actually moved The ones who moved are not at conferences debating the future of AI. They are not writing threads about what models will look like in 2027 They woke up one day and just started No perfect moment. No permission. No audience. No product. Nothing but a laptop and a decision that this was real Month 1 was embarrassing. Month 3 was interesting Month 8 was the moment they stopped telling people what they do for work The tweet had 8.3 million views Maybe 400 people's lives actually changed because of it The other 8.2 million are still waiting for the right time There is no right time There was just June 8, 2023 And now there is June 8, 2026 Same choice. Smaller window. Less people offering to show you how for free The internet spent 3 years watching A few spent 3 years building You already know which one you are

@0xWast3 fair tbh people usually care about outcomes, not workflows

@Adea0x yep i think they don’t want to work

Postman staff engineer: "We have a super intelligence but we don't have a mature interface language - we are still in the '70s where everything was just text" In this talk he breaks down exactly why AI interfaces are still stuck in chat boxes - and shows three approaches that will replace them, from declarative JSON rendering to fully generative UI built on the fly at runtime. Watch it, then steal the exact setup 👇🏼

@whoizsico the interesting part isn’t saving money it’s being able to build without wondering if the next request costs extra

People are still paying $1,900/month for cloud GPUs. A $2,999 NVIDIA box is flipping that math. Runs multiple AI models locally at once. ~$10/month in electricity. 128GB unified memory. Vision, speech, and LLMs running together on one machine. Cloud = $1,900/month forever. Local = $2,999 once. Payback in ~2 months. ~$22,000 saved in year one. No rental fees. No rate limits. No data leaving your desk. Most people are still renting compute. A few are starting to own it. Watch the talk. 👇

@0xMoysei AI keeps making production cheaper attention and distribution keep getting more expensive

A campaign that cost a team $15,000 a month. One person now does it in a day with 2 subscriptions. Liam Otley built a full creative agency for a fake streetwear brand called Vault. No team. No client. Just Higgsfield and Claude. Claude wrote every prompt. Higgsfield made every asset: the boot, the logo, the packaging, a 30-second commercial, 12 static ads. A UGC try-on that costs $500 to shoot ran $5 in 5 minutes. He wired it into one folder he calls an AIOS. Claude Code reads the brand context, fires Higgsfield through MCP, drops 10 finished Meta ads into the client folder. Notion tracks each one. Apify scrapes competitors and feeds new angles back. Five clients at $2,000 a month is $10K. The stack costs $200. Then he said the part nobody quotes: anyone can copy the stack after this video. The hard part was never the tools. It was finding the clients.

@0x_fokki everyone can make 100 episodes now the real skill is making one people actually watch

🚨 a 21-year-old in China makes $3,200/month from animation he runs from one apartment > Claude writes every script: 12 minutes > Midjourney draws every frame: 25 minutes > Runway animates every scene: 20 minutes > ElevenLabs voices every character: 10 minutes > Suno scores every episode: 8 minutes > Make publishes automatically: 0 minutes cost: $124/month 75 minutes per episode. month 3. his classmates graduated into $600/month jobs. the setup is in the article above👇

@rileywestreel the dangerous ones are the products that slowly become habits

@Adea0x The best products sneak up on you like that..

Boris Cherny, Head of Claude Code (Anthropic): "A year ago it was a Slack demo that got just two reactions. Today auto mode saves me hours every single day — I never write code without it anymore." in an 18-minute interview, Boris breaks down his daily setup. auto mode + verification + context minimalism Worth more than a week of expensive AI consulting. Watch it and bookmark it now.