A friend built his own Jarvis. It runs his trading, his socials, and his calendar while he sleeps.
Not a chatbot. A voice that wakes up, reports overnight profit, and tells him where to be tonight.
3 AI models running at once. Trading bots closing the night at 69% profitable. 356 new followers pulled and sorted before he opened his eyes.
The whole thing talks back like the movie. It briefs him on oil, on Bitcoin near $80,000, on the 2 events waiting downtown.
He built it in a weekend with tools anyone can get. The stack is in the video, and the part that runs the voice is smaller than you think.
He said the first morning it spoke to him, he forgot it was his own build.
Everyone is typing prompts into a box. He gave his a voice and went to sleep.
HE COMBINED OBSIDIAN, NOTEBOOKLM, AND HERMES AGENT TO COMPILE YEARS OF SCATTERED KNOWLEDGE INTO A 100% PRIVATE SECOND BRAIN
instead of renting expensive cloud GPUs or copy-pasting notes between browser windows, the entire system runs locally on his machine. by utilizing Apple Silicon's unified memory pool, Llama and Qwen models load directly into RAM for instant processing
three offline jobs run in the background while he sleeps. NotebookLM acts as the synthesis core, converting raw transcripts into structured markdown briefs, while Hermes Agent traverses the links to write code and update CRM files
cloud subscriptions like Claude Pro and Cursor drain over $412 every month. this on-premise pipeline pays for itself in less than three months, keeping all business intelligence secure and offline
Get the full step-by-step configuration guide and setup commands in the article below ↓
A douche purposely dives in front of a women setting herself up for a routine ground out to steal the ball from her. The next play she makes a phenomenal play to register the out.
Girls can play ball, don’t ever be that guy.
HE BUILT AN AI MANAGER THAT HIRES AN ENTIRE TEAM OF AI AGENTS.
A 24-year-old developer realized he was spending more time managing AI than actually building products. Every project meant opening different tools, rewriting prompts, checking results, and manually connecting everything together.
So instead of creating another AI assistant, he built an AI manager.
Now he gives it a single task like “build a landing page” or “create a marketing campaign.” The AI manager automatically decides which specialists it needs, then assigns the work to different AI agents. One researches, another writes, another designs, another codes, and another reviews everything before it’s delivered.
The most interesting part is that he never speaks to those agents directly. He only gives instructions to the AI manager, while the entire team works in the background. What used to take hours can now be coordinated in just a few minutes.
This is where AI is heading. The biggest opportunity isn’t having one powerful AI - it’s building a system where multiple AI agents work together while you focus on the final decision.
¡EGIPTO FIRMA UNA REMONTADA!
Los 'Faraones' lograron una victoria histórica al derrotar a 🇳🇿 Nueva Zelanda y colocándose en una posición privilegiada dentro del Grupo G.
No te pierdas las mejores jugadas
He built 2 SaaS products, sold one for 250,000$ and his most expensive tool costs 20$ a month
No co-founder. No dev team. No employees
The first product reached 6,000$ MRR and he sold it for 250,000$
The second is SiteGPT - sitting at 13,000$ MRR right now
His entire stack: Ahrefs for SEO, Cal/com for booking calls, Bento for emails, Mintlify for docs, Chartmogul for analytics
And Claude Code for building everything
He got almost 1,000,000 website visitors without spending a dollar on ads
2 products. 1 exit. 250,000$ in the bank
That 20$ a month tool is Claude Code
Mexico World Cup celebrations in Cabo San Lucas got out of hand last night as a driver plows through a crowd of fans, injuring at least 17.
At what point does celebration become reckless endangerment?
ONE OPERATOR STACKED 300 GPUS ACROSS TWO APARTMENTS IN THE SAME BUILDING AND RUNS A $48K/MONTH AI INFERENCE FARM ON VAST AI FROM HIS LIVING ROOM
00:17 he walks past stacks of GPU boxes, "and probably another 100 GPU boxes in the second apartment, let me know in the comments if you want to see them"
he rents 2 units in the same building, one as his living space with 200 GPUs in the bedroom and hallway, the second is dedicated and climate controlled just for the other 100 cards
a 300 RTX 4090 setup pulls 135 kilowatts fully loaded, his power bill runs $9,800 a month at $0.10 per kwh, on vast ai the same fleet clears $48,000 in gross monthly rental income
he never built this in a warehouse because residential electricity in his city is cheaper than commercial under 150 kw, the split apartment trick keeps him under that ceiling while doubling his rack space
the same hardware would have cleared maybe $9,000 a month mining ethereum classic in 2022, vast ai pays 5 times that for AI inference because nobody can ship enough H100s to meet startup demand
bookmark this and read the article below
$30,000 a month. 301K followers. Nobody noticed.
A guy I know sent me this last week with no context. Just a screenshot and a question mark.
There's no girl.
She's a digital creator. Stanford class of 22. High school science teacher. Has a whole life written out in her bio.
59 posts. Most of them went viral.
Instagram closed the last account. He built a new one in the same weekend.
301K followers on the new one. Same girl. Same face. Nobody asked questions.
$30K last month from the account alone. No brand deals. No agency. No split.
He's been running her for seven months. Said the hardest part was writing her personality.
The face took twenty minutes.
Full breakdown in the article below. Save it. 👇
A $2,900 BOX IS WHAT A $500/MONTH AI STACK LOOKS LIKE AFTER IT STOPS RENTING CLOUD
The video is not just someone unboxing a small black PC.
It is the boring part of the AI shift: cardboard, ports, vents, power cable, then 128GB of unified memory sitting on a desk where a SaaS bill used to be.
That is why the original post matters.
Hermes Agent running offline on one MS-S1 MAX is not a cute local demo. It is the shape of a new cost structure: up to 96GB pushed toward the GPU, $0/month in inference rent, no API meter running in the background.
Most people still think “AI workflow” means paying 5 different tools and praying the cloud does not throttle them.
The better version is uglier and more profitable. One box. Local agents. Private data. Fixed hardware cost. No monthly permission slip.
This video is the visual proof: the future of AI infra does not always look like a data center.
Sometimes it looks like a boring mini workstation you can pull out of a box and turn into margin.
JD Vance is warning Benjamin Netanyahu’s administration not to mess around with the United States, saying they may end up losing everything.
Vance says Trump is their last ally because the entire world already hates them.
"If I were in the cabinet of the Israeli government, I might not be attacking the only powerful ally I have."