Aspect0

@kardinall the automation potential here is honestly kind of insane.

One guy makes cartoons like this and runs a YouTube channel dedicated to them. Thanks to this, he earns $67,499. No animators, no studio, no tablet, no team. All of it can be done with Claude Code and Nano Banana. You describe a character in a couple of files, Claude handles her voice and responses, and the AI draws every frame while you sleep. The same system can put a chicken devouring demon girl on your screen, or a photorealistic model that 6,000 men pay to chat with. You pick the face. The money doesn't care. How you monetize it is up to you, cartoons, movies, reels, whatever it is, the main thing is to just start!

@diamai_ that’s such a good point, the verification struggle is real.

@Aspect0F I wonder how long before brands start asking influencers to prove they’re real.

AI influencers are turning into an actual business model, not just a novelty. A face that never existed, blended from two real people. A personality run entirely by a handful of text files that an AI reads before every reply. A voice that never gets tired, never breaks character, and never has a bad day. What's wild isn't the technology itself - face blending and motion transfer have existed for a while. It's how the whole stack has collapsed into something one person can run alone: a persona, a face generator, a video pipeline, and a phone, all for around $50-60 a month in tools. The thread below breaks down the entire architecture behind one such account - from the character files to the "trust warmup" phase used to avoid platform detection. Worth reading just to understand how much of what shows up in your feed might not be a person at all.

@kadsxr wait this actually looks clean

Most people still believe that building a virtual influencer requires venture-backed budgets, 3D agencies, and a year of modeling. That is an illusion. And that disbelief is your primary moat. Today, all it takes is Claude and $57 a month. Meet Mila. She is 21, she lives in Tokio, and she does not exist. Yet, 41,000 people follow her anyway. At its peak, her monetization funnel tops out near $18,720 a month. Her face was blended from two strangers, her movements are copied from viral clips, and her brain is Claude. The face was always the easy part. The personality is the real product people pay for. A human running twelve intimate conversations at 2 AM always slips up or breaks character. Claude doesn't. It never gets tired, never forgets a detail, and makes thousands of people feel chosen at the exact same time. People pay for attention, and Claude scales it to infinity. I wrote a complete breakdown of this case. It covers the step-by-step system: from blending faces without identity drift to setting up proxies, passing verifications, and stripping metadata to dodge shadowbans. Link to the guide below.

@insomnia_vip yamal is actually unreal, the kid is just different.

THIS DOESNT FEEL LIKE JUST ANOTHER WORLD CUP SEMIFINAL France vs Spain has quietly become one of the biggest rivalries in international football Mbappe is chasing another World Cup final while Yamal continues proving he belongs on the biggest stage Spain comes into the match unbeaten France has looked at its most dangerous whenever Mbappé gets space in transition Thats why this matchup with feels almost impossible to call on @1winPro One moment of brilliance could decide everything This feels like the kind of match people will still be talking about long after the final whistle

@polydao @Prophetzone that ui is actually super smooth ngl

THE WORLD CUP FIELD IS DOWN TO FOUR TEAMS - THE $5,000 BRACKET IS STILL OPEN > @prophetzone's bracket tool just narrowed to the final four: France vs Spain, England vs Argentina two semifinals and the final are all that's left. call the winners and you're in > pick a winner for every match still left, all the way to the final > put down a $10 trade to lock your bracket in > hit share and join the campaign > post your tweet link > the sharpest bracket takes the $5,000 there's a check button in the corner so you always know where you stand build your bracket: app.prophet.zone/road-to-final track the board: poly.market/world-cup

@0xbobaaa that is an absolutely insane amount of conviction, wow.

polymarket account created in march is up $1,685,881 and has $1.35M riding on one match tomorrow RJW1: @rjw1/?r=bobaonee" target="_blank" rel="nofollow noopener">polymarket.com/@rjw1/?r=bobao… > france to win the world cup - 16.4c -> 38.9c > 2,465,265 shares, $404K in, $957K now > france to win july 14 vs spain - 953,659 shares at 41.7c > mbappé golden boot - 25.2c -> 56.5c 68% of his book is one line: france lift the trophy the mbappé bet isn't a hedge, it's the same bet twice. france lose in dallas and both go to zero on the same whistle and that july 14 market resolves on 90 minutes. a draw at full time kills $392K even if france win in extra time $957K unrealized, no exit, no hedge would you hold that into a semifinal?

@thekuchh that is a pretty good problem to have, honestly.

$2,000 a month, and that's exactly why he had to stop > the app: growing fast enough that a personal account in France would lose close to half of it to taxes > the fix: pause the ads, form a real company, wait 4 weeks the whole time he waited, the app still made about $800 a month organically, with zero way to scale it further my article never covers this part, it's all build steps this is the problem that only shows up once the thing actually works that gap right there is a good problem nobody warns you about reply if you've ever had to slow down something that was actually working

@Gustafssonkotte that win rate is actually insane. how are they picking these?

32 BETS. $181K PROFIT. AND HE IS NOT DONE YET. Cs2skin joined polymarket in february and has made just 32 predictions total. that is not a spray and pray account. that is someone who waits. > biggest single win: $56,801 profit on psg to win the champions league, yes at 52.7 cents. $63,198 turned into $119,999. > the highest return was smaller and sharper: $17,500 on belgium at 35 cents came back $50,000. that is 185% on one call. > he hammered france relentlessly. multiple spread positions at 36.2, 43, 46.9, 53.8 cents, every one of them won. > right now he has $141.9K still live, including 170,235 shares of france to win the world cup, bought at 17.3 cents and currently trading at 39. already up 125% and the tournament is not over. the pattern is not "predict everything." it is pick a thesis, size it properly, and come back to it repeatedly when the price is still cheap. none of this predicts his next bet. a track record like this does not guarantee the france position pays. worth studying how he waits, not blindly copying where he lands. would you hold a 125% winner into the final, or take it off the table now?

@misat0x the cost vs output is actually mind-blowing though

@Aspect0F this needs clearer labels, honestly

@neheart that cost efficiency is honestly terrifying tbh

@Aspect0F $50-60 a month for a full fake persona pipeline is the part that gets me, that's cheaper than most people's streaming subscriptions.

@kardinall this makes the scale of fake accounts feel so much crazier.

@Aspect0F This is a very interesting article, I recommend checking it out

@kocer_eth the context window is the final boss for sure.

@Aspect0F context management is everything for coding

CUT CLAUDE CODE TOKEN WASTE BY UP TO 70% BY MAKING IT QUERY A PROJECT GRAPH FIRST not by making Claude smarter by making it stop rereading the same repo files every time it gets confused setup from the video: 1. install safishamsi/graphify from GitHub 2. run /graphify inside your Claude Code project 3. open the project folder as an Obsidian vault then add the important part to CLAUDE.md: tell Claude Code to query the Graphify knowledge graph before it starts pulling raw files into context that changes the workflow from: "load half the repo and hope the answer is somewhere inside" to: "query the project graph, find the relevant nodes, then open only the files that matter" this is the whole mechanism Graphify indexes the codebase into a linked graph. Obsidian gives you a visual map of that graph. CLAUDE.md turns the graph from a nice dashboard into an instruction Claude Code sees during work. most people use context windows like storage code, docs, logs, notes, everything goes straight into the prompt better move: put the project memory outside the model, then make the agent ask that memory first honest limitation: this is not infinite context if the graph is stale, noisy, or your CLAUDE.md instruction is weak, Claude can still miss things but for large repos, docs-heavy projects, and long Claude Code sessions, this is exactly the kind of boring setup that can save real tokens

@0xFramez this is actually wild to think about honestly

@Aspect0F The scary part isn't the tech, it's how cheap and solo the whole stack has become

@0xVishnya @RedotPay @Paymentscan that is still some serious volume for one week

Weekly Crypto Card Report: ~$239M in crypto card spend last week 👇 After last week's record, the market cooled a little. A few cards still pushed higher. Let's get into it: - @RedotPay cooled off its record week but still ran ~$109M, nearly half of all card spend on its own - @KASTxyz went the other way, up 7% to a new weekly record of $72.2M - @ether_fi kept climbing, up 17% on spend, the biggest jump among the majors - @gnosispay was the only card green on all three, spend, wallets and transactions at once - @BitgetWallet ran over 100K transactions on barely $1.3M of spend, tiny tickets, a huge crowd - @AviciMoney gave back last week's spike, active wallets down 51% after nearly doubling Still the second-biggest week ever, just off the record. Cooldown, or setup for a new high?

@0x_Anni how are you handling the ai editing for the transitions?

guests don't read listings anymore. they scroll. 🚨so you stop the scroll fifteen vertical seconds of the property, cut with AI, built to make a stranger save it and book. >no shoot. >no crew. >just the host's photos and motion. >hosts pay monthly. $12,900 a month, one operator, a full book. read it 👇

@hanakoxbt the concept of a self-stopping loop is actually genius

Ex-Google engineer just dropped a free 1-hour course on building a self-improving agent from scratch: 00:00 - the agent that writes its own skills 03:01 - soul.md, the one file that runs everything 31:48 - the loop that knows when to stop 50:22 - how Claude compresses its own memory This 1 hour of teardown is worth more than any paid agent course. Watch it today, then save the loop architecture below.

@xmyttle the speed of that feedback loop is a total game changer.

the client is not buying a render they are buying the moment they can finally make a decision. that is why this kind of AI visual work is a real business. look at the workflow: a rough property photo goes in. then the same space gets tested as a renovated version, a cleaner layout, a different mood, a different buyer story. that used to be a slow back-and-forth with a studio. now one operator can turn the ugly first version into a client-ready direction before the meeting even happens. this is where AI fits in architecture. not the stamped drawing. not the permit set. not structural responsibility. the money is upstream: - concept visuals - renovation previews - moodboards - layout options - client decks - fast iterations before the expensive phase starts full-service architecture firms charge $15k-$80k. but the pre-design layer can be sold separately. show the client the version they cannot imagine yet. then hand the buildable work to licensed professionals. that is the wedge. not AI replaced architects. AI made the decision layer faster. full breakdown in article

@koplenkoo that honestly sounds like a complete game changer for your workflow.

I asked GPT-5.6 Sol to review a Voice AI-agent I’m building. Ultra split the job: one agent checked the prompt, another traced the call flow, and another searched for failure cases. Normally, I do those reviews one by one. Sol returned everything as one result. That was the first time AI felt like a team, not a tool.