THIS VETERAN DEVELOPER PUT 2 MAC MINIS ON HIS DESK FOR $1,198 AND TURNED HERMES INTO A LOCAL AI WORKSPACE THAT DOESN’T NEED A $210/MONTH AGENT STACK
he is not flexing hardware. he is showing the part most people still miss: once Hermes runs locally, the laptop stops being a chat window and starts acting like a workspace with memory, tools and saved skills
two Mac minis, one local setup, zero cloud agent dashboard. research tasks, summaries, client notes and workflow steps stay on his machine instead of disappearing every time a session ends
most people keep paying for Claude, wrappers, API calls and automation tools just to repeat the same instructions every day. Hermes cuts the waste by saving the process once and pulling it back when the same job returns
the math is ugly for cloud tools. $210/month turns into $2,520/year before you even count extra tokens. his version is hardware once, local workflows after, and no panic when rate limits hit
the quiet winners will not be the people with the cleanest chatbot tab. it will be the people who own the machine, the memory and the workflow before everyone else realizes that is the product
A German student just open-sourced a tracking method that survives:
→ incognito mode
→ VPNs
→ cleared cookies and cache
→ adblockers
→ 100% identification accuracy
it's called Supercookie. it abuses the tiny favicon next to your browser tab to assign you a permanent ID across the entire web.
Chrome, Safari, Firefox, Edge.. all vulnerable.
built in 2 days. 100% open source.
THE GUY WHO WON ANTHROPIC'S HACKATHON JUST GAVE AWAY HIS ENTIRE CLAUDE CODE PLAYBOOK FOR FREE. 10 MONTHS OF WORK, ALL PUBLIC
Affaan Mustafa won the Anthropic x Forum Ventures hackathon by building a full startup in 8 hours with Claude Code. Then he open-sourced the exact setup that did it. It's called Everything Claude Code, and it turns Claude from one assistant into an entire engineering team
Repo: affaan-m/ecc
This isn't a prompt pack. It's a system he refined over 10+ months of daily use shipping real products
What's inside:
A huge library of skills, dozens of specialized subagents, and ready-made commands, all working together. Each piece does one job. One subagent reviews security against OWASP standards. One optimizes memory so Claude stops forgetting earlier decisions around hour three. One learns from your past sessions and projects so the setup gets smarter the more you use it. Others handle planning, test-driven development, and language-specific code review
Instead of one assistant writing code, you get an orchestrated team. A main session delegates to the right specialist when the task calls for it, the way a real dev team splits work
The best part: it's not locked to one tool. It runs in Claude Code, Cursor, Codex and OpenCode, across Windows, Mac and Linux. Free, MIT licensed
This is the difference between using Claude like a search box and running it like a team that ships. The guy spent 10 months figuring out what actually works so you don't have to
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A guy built a system of 7 Claude agents on his MacBook.
No assistant. No sales team. No office.
Every day it scans Google Maps across 3 cities, finds small businesses with no website or one from 2014, builds a landing page mockup, renders a 10-second video of it, and sends a personalized cold message — before he wakes up.
47 clients a month. $400 each.
$18,800/month. $480 in API costs.
Traditional web agencies run 8-person teams for the same order flow.
He runs it alone from a MacBook and an iPhone.
When a positive reply comes in while he's in a taxi, his Mobile agent books the Zoom call. He taps "approve" and joins 10 minutes later.
The only time the system wakes him is when a deal breaks $3,000 or the reply rate drops below 12%.
Everything else runs without him.
Here's the complete playbook for building such $10K/month passive income machine with AI ↓
THIS GUY TURNED HIS OBSIDIAN INTO A JARVIS THAT TAKES A 3AM IDEA AND SHIPS IT AS A FINISHED PROJECT WHILE HE SLEEPS
The problem he solved: way more ideas than time to build them. So he wired Obsidian into a pipeline that takes a raw idea and carries it all the way to a finished project, with him stepping in only once
How it flows:
A 3am idea gets dumped into a single note. No structure, just the rambling
An automation reads that note and decides what it is. A project? A grocery item? A random thought? A TikTok to make? It sorts on its own
If it's a project, it moves to processing. The system researches it, watches the relevant YouTube videos, checks what tools already exist, and turns the mess into a proposed plan
Here's the only human step. He opens a Claude Code session and reviews the plan. Likes this, cuts that, approves it. That's the entire time he touches it
On approval the plan becomes a full requirements doc. Then one command, promote project, ships it to his machine and execution starts
A project manager agent spins up, reads the requirements, and creates the sub-agents that specific project needs. A website gets a developer agent. Research gets a research agent. They build it
Idea to execution, and he's in the loop for about two minutes
The trick isn't capturing ideas. Everyone has notes full of those. It's the layer that decides, plans, and executes without waiting on you
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Received a message that my recent cartoon about the Henry Nowak case has been banned on X for EU nations for “hate speech.”
@elonmusk How do I appeal this? This appears to be a clear abuse of the policy by the European left.
Turns out the dead internet theory is starting to look less like a conspiracy...
According to Cloudflare, bots are now responsible for around 57% of HTML traffic on the web.
Humans are down to 43%. Across all HTTP requests, humans are still ahead with 66%, but the direction is obvious.
The web is no longer mainly a place where people visit websites. It is becoming a machine layer where crawlers, scrapers, scripts and AI agents collect, rank, rewrite and distribute information before most humans ever see it.
That should worry everyone, especially in Web3.
Once bots dominate the information layer, wealthy actors, exchanges, funds, corporations and political groups do not need to convince people directly anymore.
They only need to influence what the machines see, repeat, rank and amplify.
With enough money, accounts, APIs, fake engagement, paid narratives and automated distribution, truth becomes easier to bury and opinion becomes easier to manufacture.
And this space is already full of people who will sell a narrative for a bag.
Remember Filecoin $FIL?
It was once the 2nd largest crypto by $470 Billion FDV.
Today, it hit an ALL-TIME LOW and is now down 99.7% from its peak.
Absolutely brutal.
Google's former CEO just said what everyone in AI already knows
Building wealth is getting easier if you actually learn the tools
Not by scrolling AI threads
By understanding agents, Claude Code, prompts, memory, skills, MCP, and routines
Save this before it disappears from your feed
Everything below is free:
Agent architecture
https://t.co/hhrSyF3y6u
Claude Code 101
https://t.co/71Zu7xQmxc
Claude Code in action
https://t.co/vg8fPChJxl
Prompt engineering
https://t.co/xEu7M3CPe1
Interactive prompt course
https://t.co/oGCxHkqFBD
Claude.md + memory
https://t.co/v6JKlS4OJl
Skills
https://t.co/AJCWlDcMU7
MCP
https://t.co/tQTUYCwN16
Routines
https://t.co/gAnEdq5SP0
Claude Code ultimate guide
https://t.co/WeDLJBVaGM
Awesome Claude Code
https://t.co/wvpwfcaf6U
Anthropic academy
https://t.co/uu3JyZyWyt
Official Claude Code docs
https://t.co/xuUWAfZGXy
All of this costs $0
Most people will keep asking AI one question at a time
Save this and start learning the stack
Chinese professor just revealed his development team - and it was 170 AI agents making every single company decision
not humans, not managers, not consultants charging $500 an hour
170 artificial developers working in parallel, never sleeping, never asking for a raise, never going on vacation
Kimi K2.6 runs all of them with one prompt and each one gets its own task
what used to take an entire department two weeks now takes two hours and costs less than a cup of coffee
and while most companies are still hiring people for these roles
the ones who understood what's happening already quietly rebuilt everything
this is what actually sits behind the growth of billion dollar companies right now
full breakdown of how it works in the article below