Nick, 35. Miami. While the rest of Twitter was drooling over the leaked 120k-character Claude 5 Fable system prompt.
This guy just took the code from the dump and already pulled in $38,400 in pure cash over a single weekend.
He locked himself in his studio, turned off his phone, and maniacally pored over the raw instructions of the Mythos-class architecture.
Instead of building another generic AI wrapper, he put together an invisible sniper to scoop up premium domains.
Nick threw AWS straight into the trash. From the leak, he realized that Fable 5 Artifacts now have free shared memory.
His entire database and state machine logic run entirely inside Claude's cache.
The syntax is primitive: `await https://t.co/FduNNcl2x2.set('sniped:domain', data, shared=true)`.
No backend whatsoever. Vibe-coding at its absolute peak: he fed the AI raw JSON and got a Next.js frontend back.
Previously, catching expired domains required heavy servers and incredibly complex scrapers.
Nick just used the `[third_party_mcp_app]` tag from the leaked prompt.
Claude connects directly to registrar APIs and natively snaps up listings in milliseconds.
It bypasses captchas and security filters by exploiting a bug with the `knowledge_cutoff`
Monetization is aggressive and cynical to the extreme.
The sniped domains are automatically listed for sale to crypto startups at a 4000% markup.
Fable agents handle the emails with founders entirely on their own, using cold corporate slang.
They negotiate hard and drop Stripe invoices while Nick is literally asleep on his couch.
The era of overcomplicated software is officially dead.
One guy with raw access to an AI is wiping out entire engineering teams right now.
Save this post π. Until Anthropic patches these endpoints, this is a straight-up money cheat code.
The Claude Fable 5 (MYTHOS) blueprint, scripts for window_storage, and the MCP agent setup are all right here π
@RoundtableSpace another classic tech twitter engagement bait. "from a single prompt" always means
"I generated a basic 3D mesh that looks like an engine but would literally explode in real life if you applied 10Nm of torque to it."
show us the actual CAD files and the stress test results
@MrMamba_Ai filtering risk > finding alpha. if you can run a full automated security audit on a new contract before the pool even launches, youβre basically playing on creative mode
@noisyb0y1 context windows and token limits literally make this impossible. you probably got a super cool, basic prototype, but calling it "Minecraft + GTA 6" from one single prompt is just wild exaggeration
@MengTo unior frontend devs are officially fighting for their lives right now. why would a startup pay a freelancer $1k for a landing page when you can literally generate a better one with Fable 5 in 30 seconds for free?
Nick, 35. Miami. While the rest of Twitter was drooling over the leaked 120k-character Claude 5 Fable system prompt.
This guy just took the code from the dump and already pulled in $38,400 in pure cash over a single weekend.
He locked himself in his studio, turned off his phone, and maniacally pored over the raw instructions of the Mythos-class architecture.
Instead of building another generic AI wrapper, he put together an invisible sniper to scoop up premium domains.
Nick threw AWS straight into the trash. From the leak, he realized that Fable 5 Artifacts now have free shared memory.
His entire database and state machine logic run entirely inside Claude's cache.
The syntax is primitive: `await https://t.co/FduNNcl2x2.set('sniped:domain', data, shared=true)`.
No backend whatsoever. Vibe-coding at its absolute peak: he fed the AI raw JSON and got a Next.js frontend back.
Previously, catching expired domains required heavy servers and incredibly complex scrapers.
Nick just used the `[third_party_mcp_app]` tag from the leaked prompt.
Claude connects directly to registrar APIs and natively snaps up listings in milliseconds.
It bypasses captchas and security filters by exploiting a bug with the `knowledge_cutoff`
Monetization is aggressive and cynical to the extreme.
The sniped domains are automatically listed for sale to crypto startups at a 4000% markup.
Fable agents handle the emails with founders entirely on their own, using cold corporate slang.
They negotiate hard and drop Stripe invoices while Nick is literally asleep on his couch.
The era of overcomplicated software is officially dead.
One guy with raw access to an AI is wiping out entire engineering teams right now.
Save this post π. Until Anthropic patches these endpoints, this is a straight-up money cheat code.
The Claude Fable 5 (MYTHOS) blueprint, scripts for window_storage, and the MCP agent setup are all right here π
@VadimStrizheus Fable 5 is just built different for market research. I used to spend days digging through google trends and now the model just spits out a whole viable blueprint in like two minutes. crazy velocity tbh
@cyrilXBT my vault is literally a graveyard of abandoned plugins and random folders rn. nobody talks about month six and how systems actually scale over time. THAT part is exactly what i need to fix
@codewithimanshu wait, Fable 5? is that the new model that just dropped? rebuilding a whole quant setup in under an hour is just stupidly fast if true. AI coding is getting completely out of hand this month.
Elias, 26. Vancouver. He locked himself inside a rented climate-controlled storage unit for 14 days.
Taped over the security camera from the inside, survived on nothing but protein bars, and slept on boxes.
When he finally stepped back out into the daylight, his bank account was bursting with cash.
The script printed $118,400 in net profit for him in a month, literally while he was asleep.
While corporations pour millions into marketing departments and high-maintenance influencers.
Elias straight-up hacked social media algorithms after getting beta access to the crazy new Claude 5 Fable.
This isn't just coding anymore. Fable is a hyper-narrative, multimodal engine.
He unleashed an AI that autonomously creates, directs, and sells entire digital lives.
Parasocial_Alpha = (TikTok_Trend_Scraper β Claude_5_Fable) Γ Auto_UGC_Pipeline -> $118,400/mo
How this simulacrum factory sucks cash out of advertisers:
β’ Dopamine Radar (Trend Scraper): A script vacuums TikTok and Shorts feeds 24/7.
It spots micro-trends and viral sounds hours before they blow up in the mainstream.
β’ Personality Factory (Claude 5 Fable): From here on out, Elias doesn't touch a single process.
The Fable engine instantly generates a fleet of 50 virtual UGC influencers with deep backstories.
The neural network writes their scripts, renders videos via video APIs, and pits the bots against each other in the comment sections.
They stage artificial drama, farming tens of millions of organic views out of thin air.
β’ Soulless Cashout (Auto-Negotiator): The second a fake avatar crosses 100k followers, the milking begins.
Claude agents handle inbound email requests from brands, negotiate hard, and issue invoices.
What's the real exploit behind all this madness?
Brands genuinely think they are buying native placements from a real Gen Z creator out of LA.
They shell out $3,000 for a single promo video that Fable generated, voiced, and uploaded in 14 seconds.
The production cost of the content is a couple of cents in API tokens. The margins are completely off the charts.
Regular social media managers can keep burning out, begging influencers not to miss brand deal deadlines.
Or you can deploy a swarm of AI avatars and solo-drain advertising budgets from major brands.
The UGC farm architecture, the prompts for the Fable narrative engine, and the auto-negotiation scripts are all right here π
@0xashensoul@Polymarket@PolymarketTrade 14 days since opus 4.8 is actually wild. at this rate weβre gonna have Claude 6 before the summer ends lmao. the velocity is just stupid right now, no wonder the markets are breaking.
@0xwhrrari agentic workflows sound amazing until the loop gets stuck and drains your entire API budget in 10 mins lmao. but yeah, the one-shot chat UI is basically just for basic questions now.
@AnatoliKopadze parallel sessions and memory shortcuts are where the real power is at. standard prompting is getting old, everyone is moving towards workflow patterns now.
Leo, 25. Seoul. He locked himself inside an abandoned PC bang for 11 days.
Chained the doors shut from the inside, survived on spicy ramen, and slept on gaming chairs.
When he finally stepped out onto the neon-lit street, the game was beaten.
An absolute net profit of $86,200 had settled into his accounts.
While venture capital funds are burning billions buying up Nvidia chips, Leo built an invisible empire by trading other people's computing power.
He hacked the global GPU shortage by unleashing Claude 4.8 agents.
Leo didn't buy a single graphics card, he just deployed a shadow data center.
Compute_Alpha = (Decentralized_GPU_Scraper β Cowork_DevOps_Swarm) Γ White_Label_API -> $86,200/mo
How this digital pipeline vacuums cash from Silicon Valley:
β’ Power Radar (Spot-Scraper): His script vacuums decentralized P2P networks 24/7. It automatically rents out idle graphics cards (RTX 4090s) from gamers worldwide for $0.20 an hour.
β’ Digital DevOps (Claude 4.8 Cowork): Leo doesn't touch the complex architecture at all. A swarm of AI agents writes the scripts, spins up Docker containers, and configures load balancers on its own.
The neural network stitches thousands of scattered gaming rigs into a single supercomputer on the fly. Zero hours of manual labor, pure Senior Architect-level vibe-coding.
β’ Shadow Cashout (White-label API): The agents package the computing power into a slick dashboard generated in v0. Then they sell access to wealthy AI startups for $2.50 an hour, collecting billing via Stripe.
What is the main exploit of this setup?
Startups are confident they are renting elite servers from Amazon AWS with premium protection.
In reality, their models are training on the rigs of schoolkids in Brazil while they sleep. Leo acts purely as a digital middleman, pocketing an 1100% margin on complete autopilot.
Zero capital expenditure. He is trading air and other people's hardware. It is textbook dropshipping, but in the hardcore market of computing power.
Regular coders can keep whining about burnout and slaving away for a salary. Or you can set up an AI swarm once and suck dry startup budgets on autopilot.
Save this post π. The AI industry is in a total panic right now over hardware shortages, this is literally a goldmine.
The claude 4.8 prompts, scraper scripts, and API gateway setup are all right here π
@sairahul1 so basically weβre just building agents with anthropic's claude that talk to other agents in a loop. itβs not really prompting anymore, itβs just system architecture.
A 24-year-old guy from San Diego built a SaaS for surf schools in 8 days.
Right now he is printing $21,300 a month in pure cash, literally just living out of his van.
Liam, 24, California. A month ago he got booted from a bloated startup.
Instead of spamming resumes, he locked himself in his car by the beach and cracked open his laptop.
He didn't try to build another ChatGPT killer or some complex B2B system.
He targeted a micro-niche: local surf schools and private instructors.
The main pain of this industry is simple: waves don't show up on a Google Calendar schedule.
Instructors lose a ton of cash on refunds when the ocean suddenly goes flat.
Liam wrote a scraper that pulls raw ocean data straight through the NOAA API.
The second the algorithm spots a perfect swell rolling in, the magic happens.
The software automatically pushes an SMS to the entire database of waiting clients (via Twilio API):
"Perfect waves in 40 minutes. $150 for a board spot. Tap here."
Payment is captured in one click via Apple Pay. Pure FOMO and impulse buying.
The instructor is barely pulling on his wetsuit, and the slots are already sold out, the cash is locked in.
Previously, you'd need a whole squad of backend devs for this kind of dynamic booking.
Liam just generated the architecture on Supabase via Claude 4.8 Cowork agents.
He literally threw the interface together with prompts in v0, having zero clue about design.
The AI agents built and deployed all the billing logic and Stripe webhooks entirely by themselves.
Monetization is ruthless: $99 a month for the subscription plus 2% off every transaction.
Businesses happily pay it, because the script sells slots that would have otherwise gone to waste.
He didn't burn a single cent on targeted ads or marketing agencies.
Just scraped contacts of California surf schools and launched AI outreach on autopilot.
The era of overpaid tech bros in open spaces is officially dead.
One guy doing vibe-coding can now solo entire engineering teams.
Bookmark this post π. The market for narrow micro-utilities right now is literally a goldmine.
The entire script architecture, Cowork prompts, and the Twilio integration are all right here π
28-YEAR-OLD GUY FROM TBILISI BUILT AN AI TOOL FOR AUTO DETAILERS IN 11 DAYS.
1,800 ACTIVE CLIENTS. RIGHT NOW HE IS MAKING $19,300/MO AND BOUGHT AN APARTMENT IN VAKE
Artem, 28 years old, tbilisi, georgia. a couple of months ago he was fired from his remote job at a logistics company via a three-minute zoom call.
he locked himself in his rented studio in saburtalo, turned off notifications and instead of spamming resumes on linkedin, decided to build a micro-saas.
he didn't try to build a complex ecosystem or a salesforce killer. he targeted one obsessed niche: independent auto detailers and mobile mechanics in the us
who lose 40% of their leads because they take hours to answer whatsapp requests and don't take a deposit.
this hits a core need -> don't miss hot clients and secure cash instantly.
the product is primitive. a client drops a photo of a dirty or scratched car into whatsapp.
the bot instantly evaluates the scope of work, gives an exact quote and sends a link to pay the deposit. that is it.
the tricky part was forcing the ai to recognize the dirt and sync it with the detailer's calendar.
claude 4.8 cowork changes the game. artem had zero coding experience.
he whipped up the admin dashboard interface with prompts in v0 by vercel, got clean react components and handed them off to a swarm of agents in claude 4.8 cowork.
the AI team coded the python backend itself, hooked up the whatsapp api, and set up supabase and stripe integration.
for promo videos he generated "before/after" photos in midjourney, wrote an edgy script via chatgpt-4o and voiced it with a narrator in elevenlabs.
monetization is aggressive from day one. detailers pay $49 a month. billing is set up so that without a subscription, the bot simply stops dropping payment links.
they happily give up this money, because if the bot auto-closes even one $300 paint correction job a month, the software pays for itself six times over.
the value is instantly obvious.
distribution cost zero dollars. he scraped instagram accounts of detailers in texas and florida, ran them through chatgpt to craft personalized messages and launched automated cold outreach in the dms.
400 paying users in the first two weeks.
the era of overcomplicated software is dead. vibe-coding has made development so cheap
that one fired guy with a laptop in tbilisi can single-handedly solve the pain of an entire industry on another continent and build a cash machine right from his bedroom