THE_KID

Most financial media tells you what happened. I tell you why it happened — and what's coming next.
Ex-Wall Street Analyst. Free Substack below.

[Markets & Mayhem @Mayhem4Markets]

Invaluable resources for local AI here, folks. 👇

[kaize @0x_kaize]

SOMEONE BUILT $200K WORTH OF ENTERPRISE SOFTWARE IN 7 DAYS

what they built:

an entire company's brain inside Claude Code - a living node galaxy where every employee, every AI agent, every SOP, every tool is wired together on one screen

click a department -> the human team expands -> its SOPs expand -> the exact content each person can access expands

here's the part that breaks everything:

permissions embedded directly into the brain. when an employee opens a chat, the AI already knows what they can access. agents, data, SOPs surface automatically - like you tagged them manually, but you didn't

Obsidian can't do this & Notion can't do this

the thing nobody factors into the cost:

the tool to build $200K enterprise software is now sitting free on your laptop

[Ridark @ridark_eth]

THIS CHINESE GUY AUTOMATED PCB DESIGN USING CLAUDE AND HE’S GENERATING FULL SCHEMATICS FOR $0 PRODUCTION COST

No manual routing. No component searching. No complex CAD skills.

He connects Claude to EasyEDA using a single terminal command. The AI does the rest.

Here's the full workflow:

–> Install easyeda-api-skill via terminal from GitHub
–> Launch the local bridge server to connect Claude with EasyEDA API Gateway
–> Type a prompt (e.g., "draw a minimal dev board for STM32F103C8T6")
–> Claude finds the MCU, drops 17 support components, and auto-routes power, OSC, and SWD lines
–> Complete schematic is ready in minutes

AI automation for hardware engineering is blowing up right now. Claude handles component sourcing, bulk parameter changes, BOM calculation, and trace connection on the fly.

From a blank canvas to a fully wired circuit. Free tools. Zero manual hassle.

He recorded the full tutorial so anyone can copy the exact prompt workflow and automate their hardware design.

Bookmark this post. Everything is in the video below.

[KingWilliam @kingwilliam_]

Claude turns into a 24/7 employee the moment you set up the one feature almost nobody touches: scheduled tasks

in 13 minutes Brock breaks down his entire Cowork setup, step by step - skills, scheduled tasks, connectors

most people open Claude, ask one thing, close it - and stay the bottleneck in their own day

no prompt to babysit, no tab to watch - just tasks running on their own, handing you finished work

I wrote the full build: the exact role, tools, trigger and output to ship your first one in 30 minutes

full guide in the post below

[dimaflexx @dimoflexx]

A $600 Mac Mini replaced a $5,200/year AI bill.

Most people see a computer.

A small group sees infrastructure.

One founder moved a large share of his AI workflow from the cloud to a local Mac Mini setup.

Nothing changed for the end user.

But the economics changed completely.

$459/month became roughly $23/month.

Recurring subscriptions became owned infrastructure.

Monthly AI bills became a one-time purchase.

And every month, the gap gets wider.

Most teams keep stacking software costs.

A smaller group is stacking assets.

The shift isn't about finding a better model.

It's about owning the machine that runs it.

The people making that transition today may end up operating with a completely different cost structure than everyone else tomorrow.

Bookmark this before local AI becomes mainstream. 👇

[atrekovas @atrekovas]

267 TOKENS PER SECOND ON A SINGLE RTX 5080

this is ollama running llama 3.2 1b and it’s not even a large model but the speed is the whole point

two years ago getting 30 tokens per second on consumer hardware felt like a win and now a single gpu is doing nearly 10x that

the gap between local and cloud is closing faster than anyone expected and the article below breaks down exactly which tools and hardware get you there in 2026 ↓

[Carnage @0xCarnagee]

Anthropic's Head of Claude Code:

"I don't have a to-do list anymore. Claude just builds everything"

he runs a tree of thousands of agents. agents prompting agents prompting agents

one engineer set up a routine that auto-fixes any bug report not responded to in 5 hours. merges the easy ones himself

Boris shipped a feature with an edge case. before he could fix it - another engineer's routine already had a PR up

"Claude tells me this all the time. someone else has already fixed it. there's always another Claude working on it"

17 minutes. free. the most honest look at how the Claude Code team actually works

bookmark & watch ↓

[Ankit @iam_AnKitT]

INSTEAD OF WATCHING NETFLIX TONIGHT.

Spend 1 hour with this.

Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything.

The people who watch this tonight will wake up tomorrow with a new skill.

Watch it and Bookmark it now.

[Aakash Gupta @aakashgupta]

If you’ve been procrastinating on learning loops, read this.

[Alex Cheema @alexocheema]

.@nvidia gave us all the hardware we need to make local AI awesome.

16 x DGX Spark
3 x RTX Spark
1 x DGX Station
24 x ConnectX-7 Cables
2 x High Speed Switches

local dot AI

[René Remsik @aitrendz_xyz]

🚨 You don't need to pay for a course on automation anymore... Someone just dropped a free guide on building Claude workflows that run without you

[Rahul @sairahul1]

Google's CEO:

"Any solo developer with Claude can now outcompete a 10-person Google team."

He's right.

But 90% of developers using Claude daily are starting from zero every session.

No stack context. No memory. No behavior rules.

Claude is smart. But without a proper system prompt it's like hiring a genius with amnesia.

Every. Single. Session.

$975 wasted per developer every week on context rebuilding alone.

The fix is not a better model.

It is these copy-paste system prompts that turn Claude into an expert before you type your first message.

Full list below ↓

Bookmark this. Use it today.

[fleyta @fleyta88]

Regular developer:

“I don’t rebuild the same AI task anymore. I turn it into a Hermes skill and let the agent reuse it.”

In 33 minutes, he breaks down his full Hermes Agent setup for beginners.

Hermes + local model + memory folder + reusable workflows

Watch the tutorial once. Then use the same setup to package boring research tasks into reports founders already pay for.

[Fokki @0x_fokki]

https://t.co/3KfBj1EuKl

[vladuah @vladuah]

3 Claude plugins that sell for $5,000 a month — and most businesses can't build them themselves.

Plugin 1: Content repurposing. Feed it a podcast, blog post, or YouTube video. It outputs 10 pieces — tweets, LinkedIn posts, captions — all in the client's voice. Content repurposing is the number 1 bottleneck for every creator. Businesses know this. They just can't solve it.

Plugin 2: Lead research and outreach. Give it a target company or contact. It scrapes LinkedIn, social media, recent news, and the website — then writes a personalized outreach message built on real angles. Sales teams are paying $2,000 to $3,000 per setup.
Plugin 3: Proposal generator. Client fills out a short intake form. Plugin outputs a full proposal — scope, timeline, pricing, deliverables — formatted and ready to send. Freelancers and agencies pay $1,000 to $2,000 for this alone.

The pattern across all 3: businesses already know AI exists. They have no time and no one to set it up. That gap is the business.
Sell any of these as a done-for-you service. Package them together and the monthly number climbs fast.
You don't need to invent anything. You need to build what they already need but can't touch.

[farxxxxx @farxxxxx1]

a 20-year-old fired tech intern just cracked Claude to print $30K/mo on autopilot

no 9-to-5, no coding, no dropshipping. just a phone, Wi-Fi, and 3 hours a day. he figured out how to monetize his own brain using AI.

here's how his system works from zero to $1k/day:

>feeds a specific prompt into Claude that acts as an interviewer Claude extracts all his knowledge and packages it into a $1,000 high-ticket digital product

>feeds the product back into Claude to generate hyper-specific video topics

he completely ignores the viral algorithm

quality > quantity:

>doesn't care about getting 3M views

>he wants 5,000 views from people ready to buy

>averages 1,500 views daily across 3 videos
converts just 1 person out of 1,000.

>math = $1,000+ daily.

stop using AI as your therapist. start building assets.

[Shay Boloor @StockSavvyShay]

$NVDA CEO Jensen Huang says demand remains enormous with shortages spanning everything from wafers to silicon photonics and cable connectors.

He also teased that Nvidia may have additional announcements coming tomorrow.

[Suryansh Tiwari @Suryanshti777]

The person who BUILT Claude Code, Boris Cherny, and the engineer many call the Godfather of AI, Andrej Karpathy, just independently arrived at the same conclusion:

The future of software engineering isn't better prompts.

It's better systems.

I combined both of their CLAUDE.md files into a single framework, and the overlap is fascinating.

Despite coming from different backgrounds, both are obsessed with the same ideas:

→ Plan before coding
→ Verify everything
→ Keep solutions simple
→ Use AI agents in parallel
→ Learn from every mistake
→ Optimize for correctness, not speed

And that's the biggest signal.

The smartest people in AI are no longer talking about prompting.

They're talking about workflows.

Karpathy's philosophy is centered around disciplined execution:

• Plan Mode First
• Verify Relentlessly
• Surgical Edits Only
• Goal-Driven Execution
• Parallel AI Agents
• Simplicity Above Everything

Boris pushes it even further with self-improving systems:

• Every mistake becomes a lesson
• Every correction updates the system
• Every project compounds knowledge
• Agents continuously improve through feedback loops

His rule is simple:

«If the same mistake happens twice, the system failed.»

Karpathy's insight is equally powerful:

«Don't tell the model what to do. Tell it what success looks like.»

That single shift changes everything.

From:

"Write this function."

To:

"Here's the objective, constraints, tests, edge cases, and verification criteria. Iterate until correct."

That's not prompting.

That's management.

And that's exactly why CLAUDE.md files are exploding across the AI engineering world.

They're not prompts.

They're encoded engineering culture.

A persistent operating system for AI agents.

The most advanced teams today are already running multiple agents simultaneously:

• One researching
• One coding
• One debugging
• One writing tests
• One reviewing outputs
• One validating edge cases

Not AI-assisted coding.

AI orchestration.

The biggest opportunity over the next decade may not belong to the engineers who write the best code.

It may belong to the engineers who build the best systems around AI agents.

We're witnessing the shift from:

Prompt Engineering → Workflow Engineering

Single Agents → Agent Teams

Manual Execution → Autonomous Systems

And both Boris Cherny and Andrej Karpathy are pointing in exactly the same direction.

The future belongs to engineers who can orchestrate intelligence, not just use it.

[Spike 1% @SpikeCalls]

One person rebuilt an entire company’s brain in 7 days inside Claude Code.

Not a doc. Not Obsidian. A living galaxy of nodes.

Every employee. Every AI agent. Every SOP. Every tool. All wired together on one screen.

Click a department. The human agent team opens up. The SOPs attached to it open up. What each person is allowed to touch opens up.

That last part is the whole game.

Permissions baked into the brain. An employee opens the chat, the AI already knows what they can access. Agents, data, SOPs surface inside the conversation like you tagged them by hand.

Obsidian can’t do this. Notion can’t do this.

No dev team. No funding round. No 6-month roadmap. 7 days, 1 person, 1 terminal.

This is the part nobody has priced in.

The tools to build $200K enterprise software now sit on your laptop for free.

The only thing missing is the guy who opens the terminal.

[Mohit Goyal (Harness arc) @ByteMohit]

https://t.co/xVpQHDbbet