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Azael
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Azael
@theazaelov
𝗜 𝘀𝗵𝗮𝗿𝗲 𝗺𝘆 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗻 𝗔𝗜 𝗮𝗻𝗱 𝗻𝗲𝘄 𝘁𝗲𝗰𝗵
Katılım Kasım 2024
36 Takip Edilen6.2K Takipçiler
This guy built an AI girl in his kitchen and set her up to sell cream on Amazon, and from 1 viral video he made $10,000.
Most people who work with this tool use it for OnlyFans influencers. This guy found a different use.
He signed up for Amazon Affiliate, picked a jar of cream with a good commission, and sat down to make a viral video in one evening.
Before this, AI influencers were built specifically for OnlyFans and Patreon, for subscriptions, personal messages, and a long parasocial contract with the viewer.
Now the same tools go into Amazon affiliate, where the funnel is shorter: 1 video on TikTok, 1 click on the description, 1 purchase a few hours later.
And it got more interesting: ViewMax in just a minute generates the face of a girl in her "backyard" with natural lighting and a background, and then rewrites the viral script for a new product on its own.
The algorithm knows which camera angle holds the viewer in the first 3 seconds. It knows how to rewrite someone else's viral script for a different product without losing the mood. And it knows how to export the video without a watermark, because a watermark kills sales, and the buyer in a TikTok feed no longer notices the difference.
And even the face of the AI girl itself never repeats, every video runs under its own character, and the script is copied from already viral videos in the same niche.
In 1 video like this an AI girl showed a jar of skin cream in a garden, and in just a month a full $10,000 in net commission went through the affiliate link, more than most real skincare micro-influencers earn in half a year of work.
The buyer does not buy cream from AI. The buyer buys a clear scene with a clear girl and a clear box in the frame.
Here is what happens when a tool built for 1 funnel switches into another, where the money is shorter, more transparent, and does not depend at all on whether there is a live person in the frame.
This guy has no studio, no videographer, and no team of copywriters, there is only Amazon Affiliate, ViewMax, and copies of viral scripts from the same niche.
Imagine that micro-funnels like this are no longer launching just 1, but in every niche with an affiliate program, skincare, gadgets, kitchen, home, fitness. And in a year most of the ad videos on TikTok will not be made by people.
We just watched the influencer marketing industry shift from a contract with a real person to 1 prompt in ViewMax and 1 affiliate link.
The buyer looks at the AI girl.
The girl redirects them to Amazon.
The commission goes to a person they will never see.
And a real influencer in the same niche right now is filming a video about the same cream, in her own kitchen, with real light, with her real skin. And she will sell 10 times less.
Dep@0xDepressionn
English
These Chinese students built an AI financial office in a dorm for $1,600 that replaces CFA analysts.
They bought 6 Mac Minis on eBay, connected them through Ethernet into one cluster, and attached one CLAUDE.md file to it.
Their first client was paying a financial advisor $9,200 a year. The students charged him $264 a year for the same work, only better.
Before this, for 25 years the entire financial consulting industry ran on one principle: a $480,000 portfolio means $4,800 a year to the advisor, just for existing.
Now Claude reads annual company reports in seconds, builds asset allocation models without commission bias, and models retirement down to the dollar.
And it got more interesting: 89% of these advisors underperform a regular S&P 500 index fund over 14 years.
In 2008 Warren Buffett bet $1,000,000 that a regular S&P 500 index fund would outperform any hedge fund over 10 years, and won by a margin of $854,000.
And even the stack itself turned out to be laughable: 6 Mac Minis for $1,380, one CLAUDE.md file, and a $264 annual subscription replace an entire team of analysts.
The first month, 7 clients. The second month, 18 through referrals. And each one of them switched from an advisor at $4,800 to the student stack at $264.
$1,380 invested once. After that, just rows in the client spreadsheet.
Here is what happens when the bottleneck stops being capital and becomes organization: 6 laptops out of the box and one markdown file close what used to require hiring a team of certified financial analysts.
The students have no office, no license, no financial certificate, but they have clients who pay and bring the next ones.
Imagine that dorm offices like this are no longer just 1 in Shenzhen, but 1 in every university town.
We just watched a $4,800 annual advisor commission turn into a $264 annual subscription to 6 Mac Minis in a dorm.
The financial industry no longer runs on certificates, it runs on the fact that the client does not yet know that dorm level is already above its own.
Would you trust $480,000 to 6 Mac Minis in a dorm, or would you keep paying $4,800 a year for the same result?
Khairallah AL-Awady@eng_khairallah1
English
This 17-year-old student discovered that an entire advertising industry no longer works and earned $11,200 in a month from it.
He approached local business owners and offered to appear in ChatGPT answers, Google AI Overview, and Meta AI instead of paid advertising.
14 clients agreed in the first month right away, at $800 each. Almost all of them on the first conversation.
Before this, for a full 20 years the entire SEO industry ran on one principle: push your site up in Google, pay for ads, appear in the results. That was the only way to find clients through the internet.
Now the search results page starts with an AI answer, and ChatGPT gives 5 to 6 recommendations without a single link.
And it got worse: if a business is not in those recommendations, the client goes to a competitor without a single click.
The guy optimizes businesses for all 3 channels at the same time.
A month later he already had 23 clients, and almost every one came through a referral from a happy client.
He walks up to the owner right in their own cafe, shows the screen where their business is not in the ChatGPT answer, and they agree on the spot.
In one case a cafe owner had been investing in Google Ads for years and had no idea why traffic was dropping, until he saw that AI answers before the first link.
AI does not work on ad bids.
Here is what happens when search results stop being results and become advice: for one AI answer it is not 10 sites competing, but only the ones AI can see at all.
Businesses are not just missing clients, they are paying for that miss without noticing they paid into nothing.
Imagine what will happen when AI answers like this appear in every app, in Maps, Yelp, TikTok, and Instagram.
We just watched advertising in its current form lose its monopoly on distributing clients.
AI visibility became the first channel, but far from the last.
Khairallah AL-Awady@eng_khairallah1
English
This 20-year-old guy sells AI agents to businesses at $12-18K per call and closes $60,000 a month without saying a single word about technology.
His approach is called pain-selling: instead of demoing the AI agent and presenting models, on every call he asks one thing, "how much are you currently paying your receptionist?"
His entire pitch is built on the client's numbers, not his own.
The reason this works: every traditional AI agency tries to sell the technology, and the client defensively puts it in the category of "expensive innovation."
Pain-selling flips this completely, because the client calculates their own loss, and an AI agent at $14,000 starts looking like an investment, not an expense.
The crazy part:
The 20-year-old closes $12-18K on every call without showing a single screenshot of the product. He just asks 3 questions in the same sequence:
"How much are you currently paying your receptionist?
How many calls do you miss per day?
How much do those missed calls cost you per year?"
The client derives the number themselves, $58,000 a year in salary plus $40,000 in lost revenue. $98,000 a year versus $14,000 one time, and the AI agent stops being an expense and becomes an investment.
Under the hood his agents run Kimi K2.7 from Moonshot AI, an open-source model from China, not from Anthropic. 250 parallel sub-agents work in a single session at $0.60 per million tokens instead of $5 for Claude, and the entire cycle of 14 autonomous hours runs without human intervention.
The clients do not know this and do not ask. They only care about the end result, all calls answered, all meetings booked.
What he is selling these agents for:
> Reception agents for medical clinics
> Sales agents for small SaaS startups
> Support agents for local e-commerce stores
Each client pays once, the agent works for years without a recurring fee. He closes 3 to 5 deals like this per month.
Moonshot AI released Kimi K2.7 2 weeks ago with the same 4M context window that Kimi 1 had a year ago and doubled parallel throughput. Weights are open on Hugging Face, any 20-year-old with a MacBook can build the same agent by the end of the weekend.
They already announced K3 for next quarter, and pricing is expected to drop another 3x.
An AI startup sells technology. A one-man consultant sells the client's pain.
THAT alone tells you more about who actually understands the AI market right now than any keynote at a tech conference.
hoeem@hooeem
English
Here is how you can hit $9,000 a month selling restaurants one WhatsApp AI agent that replaces their hostess with a $2,000 monthly salary and pays for itself at the restaurant in the very first week.
The entire product is assembled in one weekend, and after that you just scale the same build across dozens of clients.
Here is how the process works:
1\ Build the base workflow in n8n in one weekend
n8n is a free open-source orchestrator where you connect WhatsApp, Claude API, and any webhook without a single line of code.
The template for one agent is 15 to 20 nodes that you put together with a mouse in 4 to 6 hours.
Then you copy that template 30 times for 30 different clients.
2\ Write a system prompt for Claude tailored to the restaurant niche
Describe to the agent who it is, how it responds, what it can do: take orders, book tables, answer FAQs, and hand off complex cases to a live person.
Each restaurant gets its own copy of this prompt with its own menu, hours, and communication style.
The prompt is written once for 6 months ahead.
3\ Connect WhatsApp Business API through Twilio or 360dialog
This takes 30 minutes and costs $50 a month per client.
You get a number that the restaurant lists as the contact on Google Maps and Instagram, and all incoming messages go straight into your n8n.
Without this the agent will not be able to respond to a single guest.
4\ Integrate the menu, booking, and Stripe
The menu is parsed from the restaurant's PDF or Google Sheet and loaded into Claude as permanent context.
Bookings go to Google Calendar or OpenTable, and payment goes to Stripe Connect, which immediately splits the check between the restaurant and you.
All of this is assembled in n8n in a couple of hours for each new client.
5\ Find the first restaurant through a cold DM on Instagram
The best working channel is Instagram DMs to local establishments with 5,000 to 50,000 followers.
Message template: "you have 47 five-star reviews and no order automation on WhatsApp. I can connect an AI agent for you in one evening. Free 7-day trial."
Every 20th message converts into a live call.
6\ Onboard a new client in 2 to 3 hours
You copy the template in n8n, change the system prompt to match their menu, and connect their WhatsApp number to the working workflow.
You test 3 to 4 live cases with the owner (order, booking, FAQ), show them the first real transaction, and sign the contract.
Within a week they see that the agent closed 80% of incoming messages without any staff involvement.
7\ Put the service on recurring billing and scale
You connect Stripe or Lemon Squeezy with a $300 monthly subscription and automatic card charges for the client.
You are no longer selling development, you are selling a service that runs on your server and brings you money while you sleep.
30 subscriptions like that give you $9,000 in recurring revenue, even if this month you did not bring in a single new client.
The real problem is not Claude and not n8n.
It is that most freelancers still sell restaurants a one-time build for $1,500 instead of putting the same agent on a subscription and collecting $300 a month from it for years.
Khairallah AL-Awady@eng_khairallah1
English
This 16-year-old from China bought an Apple Vision Pro for $3,500 to watch movies, and 4 months later released 4 visionOS apps inside the headset and made back the cost of the device in 1 month of sales.
He built what you could loosely call a "home work loop": 1 monitor on the desk, a MacBook next to it, and Apple Vision Pro as a 6-screen development environment right in the air of the room.
No degree, no development team, and no separate workshop, just him, a headset on his head, and a room with a view of the street.
He had absolutely zero programming experience in Swift up until the moment of purchase.
He puts on Apple Vision Pro every morning, unfolds 6 virtual monitors around his head at once, draws the interface with a Logitech Muse digital pen for just $129 right in the air, and dictates code to the AI assistant Claude Code by voice.
The Xcode development environment runs on the MacBook on the desk, which Vision Pro connects to over Wi-Fi.
And here is a fragment of Swift code that Claude wrote for him in just 8 seconds by voice command:
"MainActor
class DevpoolAppsService: ObservableObject {
Published var apps: [DevpoolApp] = []
Published var isLoading: Bool = false
Published var errorMessage: String?
private let appsURL = "https: //whatis.devpool.fr/apps.json"
private var lastLoadTime: Date?
func loadApps(forceReload: Bool = false) async {
if !forceReload && !apps.isEmpty {
if let lastLoad = lastLoadTime, Date().timeIntervalSince(lastLoad) < 600 {
return
}
}
...
}
}"
Meaning Claude understands the context exactly, this is not a server application and not a corporate dashboard.
It knows it is building an app specifically for Apple Vision Pro. It knows the 16-year-old developer taps the air with his fingers and therefore the interface must be designed for gestures, not a mouse. It knows the finished result will end up in the App Store in a few hours and real users will pay for it.
The guy goes through this cycle 8 to 10 times a day. Draws a button in the air, dictates the logic to Claude, waits 8 seconds, sees the finished interface right in the same room, and immediately publishes an update to the App Store.
Drawing interfaces with finger movements. Dictating logic by voice. Publishing apps over weekends.
Until the App Store already has 4 finished apps in it.
Then $3,500 for the headset pays for itself in just 1 month of sales.
And he starts the next one.
Here is his AppStoreConnect stats 30 days after publishing the first app:
> Total Downloads: 4,127
> Active Devices: 2,891
> In-App Purchases: $3,847
> Active Subscriptions: 218
> Featured: Best New Productivity Apps
On his desk is 1 bottle of water, a MacBook with the keyboard backlight off, and an AR cat figurine he drew himself in 1 of his own apps. The headset is on his head 15 hours a day, from 9 AM to midnight.
From what I have observed, this is the most underrated shift in the Apple ecosystem in the past year, precisely because 1 16-year-old guy in Shenzhen understood something about Apple Vision Pro that the rest of the industry missed.
vas@vasuman
English
This Chinese developer loaded a MacBook Pro M4 with a local Llama 70B in the air and closed his client queue over a full 12 hours without a single request to Anthropic or OpenAI.
He was sitting by the window on a transatlantic flight with a MacBook Pro M4 with 64 GB of unified memory.
Wi-Fi on board was $40 for the flight. He declined right away.
Instead of connecting to a network he spun up Llama 3.3 70B on bf16 through llama.cpp.
Inference held a stable speed of 67 tokens per second, context around 55,000 tokens, the model took 51.2 GiB of RAM out of 64. The battery at takeoff showed 3 hours 15 minutes of battery life.
Before takeoff he gave the orchestrator this system prompt:
"You operate inside a sealed environment: no network access, no cloud APIs, no external services. Available resources: a Llama 70B inference server at localhost:8080, a local task queue at ~/work/queue.jsonl, and a finite battery budget of 3 hours 15 minutes. For each task, draft the artifact, run local evals, and write the result into ~/work/output/. Persist a context checkpoint after every 10 completed tasks so the run resumes cleanly after a battery swap. Halt only on an empty queue or when battery falls below 7%."
And the orchestrator started running through the client task queue without a single external request.
That on its own is already interesting.
But if you break down how work like this is even possible right now on consumer hardware, it becomes clear:
> The M4 chip is built on unified memory architecture, 64 GB are simultaneously available to CPU and GPU without copying between subsystems
> llama.cpp compiles inference for Metal without a separate CUDA wrapper, and Llama 70B on bf16 takes 51.2 GiB, tight but it fits in 64 GB
> Local inference removes 220 to 750 ms of network round-trip on every request, and that is why 67 tokens per second on M4 feels faster than 130 tokens per second through a cloud API over a satellite link
> Onboard Wi-Fi at $28 is fundamentally not an option for serious work: satellite latency plus provider rate limits turn any cloud workflow into suffering
So the system operated in full autonomy for all 12 hours, and every client task from the queue was closed before landing.
Here is what the orchestrator wrote in its log during the flight:
"INFO checkpoint persisted at task 7/10 | tokens captured: 46322 | size on disk: 57.4 MiB"
"INFO checkpoint restored | resuming from pos 46322"
"INFO inference: processed 48/55124 prompt tokens | speed 67 tok/s"
"INFO task 41 218 completed in 3m 47s | output → ~/work/output/client_brief.md"
The part worth noticing here is that all modern client work can comfortably be done without a single connection to the servers of Anthropic, OpenAI, or any other cloud provider.
Meaning the real stack can already fully live inside your laptop right now, and the only thing stopping most people from switching to this format is the habit of paying $25 to $300 a month for models that fit on their own drive.
Khairallah AL-Awady@eng_khairallah1
English
The same content on YouTube brings in 30 times more money than on TikTok and the winner is the one who goes on both at once.
This week 2 creators in the same niche posted the same thesis.
The first, on YouTube: 280,000 views and $4,200 from AdSense.
The second, on TikTok: 2.8 million views and just $140 from Creator Fund.
The difference is not in the content, the difference is in where it lives.
Here is how much each platform actually pays for the same video:
> YouTube AdSense: $10 to $25 RPM, an average niche gives $15 per 1,000 views
> TikTok Creator Fund: $0.02 to $0.06 per 1,000 views
> Instagram Reels: $0 for views, but 2 to 5% of followers buy through links in bio
And here is how much brands pay for the same deal at 100,000 subscribers:
> Finance/fintech: $500 to $2,000 per post
> SaaS/AI tools: $300 to $1,500 per post
> Health/supplements: $200 to $1,000 per post
> Fitness/apparel: $150 to $800 per post
If you picked 1 platform and dump all your content there, you are literally leaving 2/3 of your income on someone else's table.
And if you invested in TikTok for a full year and are sitting on 500,000 followers with $200/month from Creator Fund, your video could have been bringing in 30 times more on YouTube + brand deals + Instagram conversions.
This is the 3rd quiet shift in the content industry in the past year:
> Major creators are stopping their dependence on 1 algorithm and going on 3+ platforms at once
> The production cycle is compressing to 5 to 6 hours a week for 7 pieces of content
> A stack of Claude, ElevenLabs, and CapCut for $72/month replaces a 4-person editorial team
All monetization in the content industry is shifting to multi-platform, whether creators like it or not.
Your single-platform grind to 500,000 followers will soon be worth the same as a $30,000/month operation on 50,000 followers with a system.
The era of single-platform content is officially ending.
But it was nice while it lasted.
Dep@0xDepressionn
English
One Chinese developer combined all 3 top AI models into a single router and outpaced those paying 5 times more for just one.
He did not choose between Claude, Kimi, and GPT at all, he built an interface that routes each task to whichever model handles it cheaper and more accurately on its own.
A developer under the handle chongdashu posted an open-source repository where you only need to change 1 environment variable for the Claude Code interface to start running Kimi K2.6, a Chinese model from Moonshot released on April 20.
And at that exact moment the cost of operation drops and throughput goes up.
$5/$25 per million tokens for Opus 4.7, $0.60 per million input tokens for Kimi K2.6, 8 times cheaper for the same million. 300 parallel agents on a single prompt instead of 1. A full 4,000 coordinated steps in a single autonomous session.
Meaning 1 person on 1 subscription now does what the next guy still needs a team of 4 and a bill of thousands of dollars a month for.
And this is not magic, it is the refusal to believe in a single model.
But if you break down how the routing is actually built, it becomes clear why it works:
> Claude Opus 4.7 is the senior engineer. Production code, legal documents, vision. SWE-bench Pro 64.3%, 6 points ahead of the nearest competitors right away. Goes where an error costs real money.
> Kimi K2.6 is the factory floor. 300 parallel agents, 4,000 coordinated steps, autonomous runs for 12 hours straight. 80.2% on SWE-bench Verified. Goes where volume is needed.
> GPT-5.5 is the scout. Math, web search, GUI navigation. 90.1% on BrowseComp, 78.7% on OSWorld. Goes where you need to gather current information and walk through interfaces completely without a human.
Meaning these are not 3 competitors, they are 3 specialists on 1 team, and chongdashu was the first to stop pretending that 1 of them should cover everything.
In just 1 week of April companies rolled out 3 top models, Opus 4.7 on April 16, Kimi K2.6 on April 20, GPT-5.5 on April 23.
Most users picked 1 of them and called it a day. The Chinese developer's repository got more attention than any of them, because its author was the first to show that choosing is not necessary at all.
Defileo🔮@defileo
English
Someone just built a 3D network from their Obsidian vault that bypasses both regular note-taking apps and all mind-mapping tools.
Quick context: a 3D thinking network is a real-time visualization of embeddings from all your notes, where each note becomes a node and the connections between them reflect semantic proximity (Obsidian vault plus an embedding model plus 3D rendering).
This concept is called a thought network AND it is the rendering of your notes into a navigable 3D space.
What it shows:
> The actual shape of your thinking, not some abstract diagram
> One of 3 patterns: centralized, decentralized, or distributed
> Knowledge silos you live in without even knowing about them
> Gaps between topics, blind spots you never even suspected
> Unmade connections between scattered notes
> All of this in real time on top of a regular Obsidian vault
The part everyone is losing their minds over is that most people think their thinking is distributed, but the map shows them silos and centralization they never would have guessed.
Meaning you do not change your knowledge management at all, but you get a mirror that for the first time shows the structure of your own intellect.
A caveat: seeing the shape of your thinking does not mean changing it. The map only highlights silos. Breaking them apart you will have to do by hand.
But if you have been running an Obsidian vault for years and wondering why your ideas never come together into working projects, this map shows the structural reason in just 1 launch.
Obsidian plus AI is becoming a mirror for your intellect, not a note-taking app. Again.
English
This father gave his 8-year-old daughter Cursor and she built a working chatbot in just 45 minutes during her 2nd programming session ever.
Her setup: Cursor as the editor, Cloudflare Workers AI as the backend, and a completely ordinary laptop.
When she needs a new feature in the chatbot, she describes it in natural language and Cursor writes the code for her.
Cursor reads what she types and suggests code in real time. Cloudflare Workers AI runs the model right on their edge servers, with no separate hosting at all.
In her 2nd session she described exactly what chatbot she wanted to build. Cursor generated the html, server code, and prompt template, and she just accepted each suggestion one by one.
And in just 45 minutes she had a working chatbot in her hands, deployed on the internet and responding to anyone who opens the link.
Cursor, Cloudflare Workers AI, and 45 minutes. Works right in a browser tab.
Instead of teaching kids syntax for years before they build anything that works, you just give them Cursor, and by the 2nd session they already have a finished product.
This is the most natural way to teach a child programming out of everything I have seen so far.
self.dll@seelffff
English
A startup idea for the GTA 6 launch, made specifically for you
Build the infrastructure around the GTA 6 economy, ROI calculators, business guides, optimizers, and sell it to the people who have already spent $5,000,000,000 on Shark Cards in GTA Online.
What is this? GTA Online in its 13th year is still doing $1,000,000+ a day, and 74% of that revenue is Shark Cards, fake money. From September 2025 to April 2026 players left another $500,000,000 there. GTA 6 launches with an economy next to which GTA Online looks like a lemonade stand: 700+ interactive businesses, an AirBnb rental system, money laundering in core gameplay.
You are not building a game. You are building what players google from day 1: which neighborhood to buy, which laundromat converts faster, how to build an empire to passive income. Before, this required a content team, a developer, and an SEO specialist. Now 1 Claude in just 1 evening.
How to build the entire stack in 1 session with Claude
1. Build a real estate ROI calculator. Rockstar confirmed an AirBnb system with 700+ units in Leonida, each neighborhood with its own yield. Feed Claude the map + prices from early reviews and you get a finished calculator in just 1 hour.
2. Package the calculator into a YouTube channel. Property channels that launched on GTA Online release day were hitting 50,000+ subscribers by month 3. The GTA 6 economy is 10 times more complex, demand for guides grows proportionally.
3. Build a laundering stack. In GTA 6 money is split into dirty and clean: dirty money can not be spent on premium until you run it through nightclubs, studios, or offices. Some convert at 60%, others at 85%. An efficiency table is the product.
4. Build an empire optimizer. The 3-tier economy (street → organized crime → legit business) requires calculation at every level. Claude writes a system that takes player parameters and outputs the optimal path in minutes, not evenings in Discord.
5. Wrap it all into 1 tool on Next.js + Supabase. In 2013 someone built a GTA Online calculator over a weekend and got 2,000,000 visits in 30 days. Now Claude builds the equivalent in just 1 day.
6. Pick 1 niche to enter: real estate guides for beginners. Not "everything about the GTA 6 economy," but "how a beginner gets their first passive-income property by the end of month 1." Narrow positioning builds trust faster.
7. Set premium at $7/month + Discord at $10/month. AdSense on 100,000 views: $4,000 to $8,000/month. Sponsorship from VPN brands and gaming chairs: $2,000 to $5,000 per video. Total from 1 content vertical: $8,000 to $15,000/month.
8. Build media around results. Post calculator screenshots, publicly calculate optimal routes, put out comparisons "guide in 10 minutes vs manual optimization over 40 hours." This is content that brings in subscribers without any cold outreach.
9. As soon as you lock down 1 niche, expand: the same stack for Madden, EA Sports FC, Pokemon Legends. You are no longer "the guy with a GTA 6 guide," you are a launch infrastructure factory.
Rockstar already confirmed the property system. $5,000,000,000 in Shark Cards is demand validation in its purest form. But the infrastructure for GTA 6 has not been built by anyone yet.
The data is open: trailers, press releases, early previews. Claude builds the base stack in just 1 evening. Demand is daily: "how to make money fast in GTA Online" has already pulled 847,000,000+ views on YouTube.
The GTA vertical has been growing for 13 years with every new launch. The infrastructure to build costs just $40/month (Claude Pro + hosting). The margin sits in the audience you will build over 207 days before the release.
You build this alone. Without a team. Without a studio. Without a budget. You need 207 DAYS, 1 LAPTOP, AND CLAUDE, THAT IS ALL.
By the way, if this format of launch window breakdowns is landing, drop a big LIKE, maybe I will turn it into a regular series.
I just have 5 to 10 ideas like this sitting in my notes every week, and I physically do not have time to build them all.
Why let them collect dust in there lol
Dep@0xDepressionn
English
This Chinese developer posted instructions on how to build 6 Claude Agents that autonomously run a Shopify store doing $40,000 a month in revenue.
The instructions came out as a 2-minute video and an open GitHub repository. No courses and no paywall, everything is free.
The store is real, dropshipping home fitness products, $40,000 a month in revenue. All 6 Claude Agents run in parallel through 1 shared MCP gateway with access to the Shopify Admin API.
Here are the 6 agents and what each one is responsible for:
Product Scout reads trends from Amazon Best Sellers, TikTok Shop, and AliExpress 1688, looks for products that are growing, and drops 10 candidates a day into a shared spreadsheet.
Listing Writer takes each candidate and writes a full description, title, bullet points, SEO tags, alt text for images. Adapts the tone of voice to match the store brand.
Pricing Optimizer monitors prices of the 5 closest competitors once an hour and automatically moves its own within a ±3% corridor of the market average.
Ad Copy Writer writes 3 ad variants for each product for Meta Ads, Google Ads, and TikTok Ads. When a variant drops in CTR, it writes a new one.
Customer Support handles all incoming chat questions (shipping, sizing, availability, returns) and escalates to the owner only what falls outside the templates.
Analytics Reporter sends the owner 1 message in Telegram every morning: what sold, what dropped, and which 3 products to put in focus for the next day.
All 6 agents communicate through Supabase, which holds a shared state table. When Pricing Optimizer changes a price, Ad Copy Writer immediately finds out and rewrites the latest ads.
API spend on Claude is about $180 a month. Shopify Plan + Supabase + Meta Ads API is another $200. The owner spends about 1 hour a day checking reports and escalations.
Before, that kind of revenue required hiring 3 to 4 people: a content manager, a copywriter, an ad specialist, and a support manager. That is $8,000 to $12,000 a month in salaries.
Now, $380 for the API and 1 hour a day from the owner.
The video has already been copied by 8,200 developers around the world, and many have posted forks for other niches.
Shopify@Shopify
the Shopify AI Toolkit is here manage your store with your favorite agent Claude Code, Codex, Cursor, VS Code, and more
English
🚨YOU PAY $20 A MONTH FOR CODEX AND USE IT AS A GLORIFIED CHATGPT.
Type a question, copy the answer, paste into VS Code.
But it can ship a full game in the browser: artist, programmer, devops, payments, all at the same time.
The difference is called text commands.
You describe the game out loud and Codex creates the repo, picks the framework, writes the code, deploys to GitHub Pages, connects Stripe.
1 developer shipped 6 projects in 30 days like that and made $4,200 from 1 of them.
Stop typing code by hand every session.
Azael@theazaelov
ONE DEVELOPER IN JUST 30 DAYS IN CODEX BUILT 6 PROJECTS WITH TEXT COMMANDS AND EARNED $4,200 FROM ONE OF THEM He started from the exact same place as most people with ideas but without a technical education. He had a notebook with a full dozen sketches of games and apps he had dreamed of building since school, but every time he hit the wall where Stack Overflow and YouTube tutorials helped only up to the point where you actually need to write something that works. And that is where he sat for a full 5 years. At the start of the month he opened Codex. He sat down at the laptop, clicked the empty input field, and typed: "launch a scene where colorful particles fly after the cursor and leave glowing trails." Codex in just 12 seconds created a repository on GitHub, picked Three.js, wrote the code, deployed a production build through GitHub Pages, and returned a live link. By the end of that same evening the scene had turned into a full audio visualizer: he loaded an mp3 from his folder and said "sync the flashes to the beat." Codex did it in one pass and automatically committed to the repository. From there he did not stop. On day 7 he wrote "turn this into a platformer: add gravity, jumping, and an enemy that patrols the platform." 2 hours later a playable prototype was already running in the browser. On day 14 he said "keep the first 3 levels free and lock the other 7 behind $5 through Stripe." Codex without a single clarifying question connected Stripe, built a landing page, set up Plausible analytics, and deployed everything to his custom domain. By the end of the month the Stripe account showed $4,200 in net revenue from 840 purchases of that platformer. Alongside it, 5 more projects shipped: the early audio visualizer that started it all; an avatar generator that pulled in 1,200 users in 1 week; a short 3D portfolio scene; a web game as a birthday gift for his wife; and an experimental endless arcade built over a weekend. 6 public repositories on GitHub, in which he did not write a single line of code by hand. Under the hood Codex does exactly what a developer usually does solo in a week: creates a repository and commits every change, picks the framework for the task (Three.js, PixiJS, Phaser, p5.js), sets up the build through Vite or esbuild, runs a Lighthouse audit, deploys through Vercel or Cloudflare Pages, connects Stripe, Google auth, and analytics. Only each of these actions is triggered by one message in the chat. The Codex subscription itself costs $20 a month. A standard freelance developer hire for a task like this starts at $5,000 per project. This is the point where the future stops being a slogan: your creative idea turns into a working product in an evening, and the revenue goes straight to the author of the idea, not to the team that builds it.
English
ONE DEVELOPER IN JUST 30 DAYS IN CODEX BUILT 6 PROJECTS WITH TEXT COMMANDS AND EARNED $4,200 FROM ONE OF THEM
He started from the exact same place as most people with ideas but without a technical education.
He had a notebook with a full dozen sketches of games and apps he had dreamed of building since school, but every time he hit the wall where Stack Overflow and YouTube tutorials helped only up to the point where you actually need to write something that works.
And that is where he sat for a full 5 years.
At the start of the month he opened Codex.
He sat down at the laptop, clicked the empty input field, and typed: "launch a scene where colorful particles fly after the cursor and leave glowing trails."
Codex in just 12 seconds created a repository on GitHub, picked Three.js, wrote the code, deployed a production build through GitHub Pages, and returned a live link.
By the end of that same evening the scene had turned into a full audio visualizer: he loaded an mp3 from his folder and said "sync the flashes to the beat."
Codex did it in one pass and automatically committed to the repository.
From there he did not stop.
On day 7 he wrote "turn this into a platformer: add gravity, jumping, and an enemy that patrols the platform."
2 hours later a playable prototype was already running in the browser.
On day 14 he said "keep the first 3 levels free and lock the other 7 behind $5 through Stripe."
Codex without a single clarifying question connected Stripe, built a landing page, set up Plausible analytics, and deployed everything to his custom domain.
By the end of the month the Stripe account showed $4,200 in net revenue from 840 purchases of that platformer.
Alongside it, 5 more projects shipped: the early audio visualizer that started it all; an avatar generator that pulled in 1,200 users in 1 week; a short 3D portfolio scene; a web game as a birthday gift for his wife; and an experimental endless arcade built over a weekend.
6 public repositories on GitHub, in which he did not write a single line of code by hand.
Under the hood Codex does exactly what a developer usually does solo in a week: creates a repository and commits every change, picks the framework for the task (Three.js, PixiJS, Phaser, p5.js), sets up the build through Vite or esbuild, runs a Lighthouse audit, deploys through Vercel or Cloudflare Pages, connects Stripe, Google auth, and analytics.
Only each of these actions is triggered by one message in the chat.
The Codex subscription itself costs $20 a month. A standard freelance developer hire for a task like this starts at $5,000 per project.
This is the point where the future stops being a slogan: your creative idea turns into a working product in an evening, and the revenue goes straight to the author of the idea, not to the team that builds it.
Luffytaro@ParasVerma7454
English
THIS GUY REPLACED 30 CLOUD SUBSCRIPTIONS WITH ONE RACK IN THE CORNER OF HIS ROOM AND DROPPED HIS MONTHLY BILL FROM $200 TO $0 WITH THE HELP OF CLAUDE CODE
He built self-hosted versions of literally every service he used to pay for at home, and runs all of it in a 27U rack that takes up a corner of his room.
The logic was simple:
Stop renting access to your own data, stop paying subscriptions for things you can keep yourself, and have one private dashboard that manages your entire digital life.
Every morning he opens one tab in the browser and from there:
> streams his entire archive of movies and shows through Plex or Jellyfin
> requests a new movie through Overseerr, and within a few minutes it automatically appears in the library, downloaded and tagged
> backs up every photo from his phone through Immich (his own Google Photos)
> stores all files in Nextcloud (his own Google Drive)
> manages audiobooks, ebooks, music, RSS, recipes, and bookmarks from one place
> blocks ads across the entire home network through AdGuard Home
> sees live Grafana stats on every machine in the house at any moment
And a lot more.
The homepage dashboard itself immediately shows weather, calendar, system status, download queues, library sizes, and quick shortcuts to every service.
Hardware list:
> Netgate 1100 router on pfSense+, firewall, DHCP, DNS, and VLAN
> TP-Link managed 8-port switch
> TP-Link Archer C6 access point
> Raspberry Pi 4, dedicated entirely to the Grafana dashboard
> HP laptop with an 11th-gen i3 and 24 GB RAM, main hypervisor on Proxmox VE
> Compaq laptop with a Core 2 Duo and 4 GB RAM, Proxmox Backup Server
> Tower PC with the same Core 2 Duo, Unraid as a NAS
The Proxmox VE box runs every service inside a Debian VM on Docker Compose. Backups are scheduled with chunk-level deduplication. Unraid holds all the storage, drives of different sizes and 1 parity disk.
All devices are connected to one Tailscale tailnet, so he hits any service from anywhere in the world with zero ports open to the outside.
Then he built his own private streaming empire on top of it:
> Plex and Jellyfin point at one shared library
> Overseerr takes requests for new movies and shows
> Radarr, Sonarr, Lidarr, Readarr, separate managers for movies, shows, music, and books
> Prowlarr indexes all of it at once
> SABnzbd and qBittorrent handle the downloading
> Bazarr automatically attaches subtitles
> Tautulli, Plex stats
> Trailarr, trailers
Then the rest of the stack:
> Nextcloud instead of Google Drive
> Immich instead of Google Photos
> Paperless-ngx, OCR document management
> AdGuard Home blocks ads across the entire network
> Miniflux for RSS, Karakeep for bookmarks
> Mealie for recipes, Navidrome for music, Audiobookshelf for audiobooks
> Calibre for ebooks, Code Server for VS Code right in the browser
> Stirling PDF, IT Tools, MicroBin, SearXNG, PairDrop
Every service is surfaced through Homepage, a self-hosted dashboard for which he separately built a small tool in Claude Code that auto-generates the YAML config.
This guy pays exactly $0 a month for the same things most people pay $200+ in subscriptions for, with one-time startup costs of about $1,000 to $1,500 on hardware.
Today you have access to the exact same stack, all open source, and Claude Code assembles it over a weekend on whatever hardware you already have.
The homelab community is the most skilled and most organized group of builders on the internet that nobody talks about out loud.
English
A 15-year-old student just showed how Epic Games actually pays for custom maps in Fortnite when you describe them in words.
1 weekend. 0 lines of code. A check from Epic for $23,000.
Open UEFN. Describe your map in Claude Code. Publish.
Worth more than all those scam courses "how to earn $5,000 a month in Fortnite" that you almost bought from a stranger in Discord.
You spent years walking past UEFN, not knowing that Epic gives creators 100% of revenue from the map, with no commission, through the end of 2026.
$722,000,000 already paid out. 58 millionaires in 2024 alone. Full case below.
Azael@theazaelov
EPIC GAMES SENT A 15-YEAR-OLD STUDENT A CHECK FOR $23,000 FOR A FORTNITE MAP HE DESCRIBED IN WORDS OVER 1 WEEKEND The story started with him almost giving all his savings to scammers. One Saturday he is sitting in a Discord chat where teenagers are pooling money for a "method" from an anonymous guru, $200 for a course on "how to consistently earn $5,000 a month or more in Fortnite." He saved that $200 over an entire summer of side jobs. Right before paying he opens Claude Code and just in case asks: "is it worth buying this method?" That exact question changes his life. Claude answers calmly. What these guys are selling for $200, Epic Games gives to custom map creators for absolutely free. They pay for every minute players spend inside your map. You do not need to know how to code at all, you describe in words what emotions the player should feel, AI writes the Verse code (the internal language Epic uses for map logic), and you publish the finished product. At 1,000 players a day and 20 minutes on average, that already comes out to $5,000 to $15,000 a month. Plus through the end of 2026 Epic gives creators exactly 100% of revenue from sales of skins and items inside the map. Zero commission whatsoever. The 15-year-old kid closes Discord and for the first time in his life opens a code editor. Over the weekend he does not write a single line by hand. Just 10 hours of pure time over 2 days. Only descriptions out loud: "this is where the player should start feeling greedy," "the progression should hook them by minute 3," "short burst, long plateau." Claude turns each description into Verse code line by line. By Monday morning the map is done. On Monday he hits "publish" and goes to school. By Friday he already has 1,000 unique players a day. Half of them are his classmates. They do not even realize they are running around a map built by the kid sitting next to them in class. By the end of day 30 the map has accumulated 187,000 minutes of gameplay. Epic automatically calculates the payout using its algorithm, adds in-game purchases, and sends the first check. $23,000. Epic has already paid creators $722,000,000 in total. In 2024 alone 58 people became millionaires on this model. Before, the only thing separating a teenager from this kind of income was the need to know how to write code. That wall no longer exists at all. His mom used to yell every evening that he was glued to Fortnite for 5 hours straight. One day he silently showed her the screen with the $23,000 deposit, and from that moment she never once asked him to turn off the computer. His classmates keep playing Fortnite for 4 hours after school. Only now, when they play, they run around his map and pay for his life. You have until exactly the end of 2026 to get in before the "100% of revenue to the creator" window closes. AI talked a 15-year-old kid out of giving $200 to strangers in Discord, and it turned out to be the best advice he ever received in his life. The course would have disappeared 1 second after payment. The map brought him $23,000 in 1 month.
English
EPIC GAMES SENT A 15-YEAR-OLD STUDENT A CHECK FOR $23,000 FOR A FORTNITE MAP HE DESCRIBED IN WORDS OVER 1 WEEKEND
The story started with him almost giving all his savings to scammers.
One Saturday he is sitting in a Discord chat where teenagers are pooling money for a "method" from an anonymous guru, $200 for a course on "how to consistently earn $5,000 a month or more in Fortnite."
He saved that $200 over an entire summer of side jobs.
Right before paying he opens Claude Code and just in case asks: "is it worth buying this method?"
That exact question changes his life.
Claude answers calmly.
What these guys are selling for $200, Epic Games gives to custom map creators for absolutely free. They pay for every minute players spend inside your map.
You do not need to know how to code at all, you describe in words what emotions the player should feel, AI writes the Verse code (the internal language Epic uses for map logic), and you publish the finished product.
At 1,000 players a day and 20 minutes on average, that already comes out to $5,000 to $15,000 a month.
Plus through the end of 2026 Epic gives creators exactly 100% of revenue from sales of skins and items inside the map. Zero commission whatsoever.
The 15-year-old kid closes Discord and for the first time in his life opens a code editor.
Over the weekend he does not write a single line by hand. Just 10 hours of pure time over 2 days.
Only descriptions out loud: "this is where the player should start feeling greedy," "the progression should hook them by minute 3," "short burst, long plateau."
Claude turns each description into Verse code line by line.
By Monday morning the map is done.
On Monday he hits "publish" and goes to school.
By Friday he already has 1,000 unique players a day. Half of them are his classmates. They do not even realize they are running around a map built by the kid sitting next to them in class.
By the end of day 30 the map has accumulated 187,000 minutes of gameplay. Epic automatically calculates the payout using its algorithm, adds in-game purchases, and sends the first check.
$23,000.
Epic has already paid creators $722,000,000 in total. In 2024 alone 58 people became millionaires on this model.
Before, the only thing separating a teenager from this kind of income was the need to know how to write code. That wall no longer exists at all.
His mom used to yell every evening that he was glued to Fortnite for 5 hours straight. One day he silently showed her the screen with the $23,000 deposit, and from that moment she never once asked him to turn off the computer.
His classmates keep playing Fortnite for 4 hours after school. Only now, when they play, they run around his map and pay for his life.
You have until exactly the end of 2026 to get in before the "100% of revenue to the creator" window closes.
AI talked a 15-year-old kid out of giving $200 to strangers in Discord, and it turned out to be the best advice he ever received in his life.
The course would have disappeared 1 second after payment. The map brought him $23,000 in 1 month.
starmex@starmexxx
English
Azael retweetledi
> quit my job in March
> opened Claude in April
> went in circles: chatbots, scripts, nothing stuck
> then saw that a regular GTA mod brings in $640 a month on autopilot
> sat down on Friday, uploaded my "parking" mod for $9 by Sunday
> week 1: first check. week 4: $1,000 from five connected mods
> week 12: roleplay server + short videos, $5,000 a month
> and GTA 6 has not even come out yet
Azael@theazaelov
English