KingWilliam

research addicted

[KingWilliam @kingwilliam_]

https://t.co/8oaoC9NJcM

[KingWilliam @kingwilliam_]

OpenAI CEO Sam Altman: "this is the most capable technology humanity has ever built - and most people are barely scratching the surface."

he said it on the TED stage

here's what nobody acted on - the people who win with AI aren't the ones with the best prompts. they're the ones who gave it a memory.

right now Claude has one critical flaw. every chat starts from zero. it forgets everything - your ideas, your projects, your last 50 chats - gone.

one developer fixed it for $0. he pointed Claude at a folder of plain-text notes in Obsidian - his entire second brain - through one MCP connection. now it answers from six months of his own thinking, not the internet.

103,000 people already follow the guy who mapped this out. here's the full breakdown of what goes inside and how to set it up in 30 minutes:

[KingWilliam @kingwilliam_]

https://t.co/8oaoC9NJcM

[KingWilliam @kingwilliam_]

THIS GUY RUNS A $30,000/MONTH BUSINESS OUT OF A SINGLE FOLDER OF PLAIN-TEXT NOTES - HE ASKS A QUESTION, CLAUDE ANSWERS FROM HIS OWN BRAIN, NOT THE INTERNET

most people keep their thinking in their head - hundreds of ideas a year, and they remember maybe 6 of them

this is the opposite. 2,000+ notes sitting in one Obsidian vault Claude can read end to end

he types a question - Claude pulls the answer in 2 seconds - and shows the exact notes it came from, linked and sourced

it's plain text on his own drive - it's a vault that compounds every single week - it's Claude answering from 6 months of YOUR knowledge, not generic internet sludge

a generic chatbot answers from the whole internet. this one answers from everything you've ever learned - that's a different tool entirely

5 minutes a day to feed it. 30 minutes to set it up. it pays you back every day after

a chatbot guesses. a $30k/month second brain remembers. the full Obsidian + Claude build is in the article below

[KingWilliam @kingwilliam_]

https://t.co/8oaoC9NJcM

[KingWilliam @kingwilliam_]

THIS GLOWING WEB IS WHAT 300 AI AGENTS THINKING AT ONCE LOOKS LIKE - 4,000 STEPS FIRING IN PARALLEL, ONE JOB, ZERO HUMANS TOUCHING IT

most people think the winner is whoever has the smartest model. wrong. the winner is whoever organizes the intelligence

route every task through the most expensive model and you get a $62,000 monthly bill. split it and you get the same output for $7,800

Opus 4.8 is the brain - it plans, assigns the work, sets the quality bar, reviews every output - it directs, it never grinds

Kimi K2.6 is the swarm - 300 specialized agents, 4,000 coordinated steps, $0.60 per million tokens - it executes while the brain reviews

the rule is simple: if you can write a rubric a machine could grade, the cheap swarm runs it. if you can't, Opus handles it

$54,200 saved every month. $650,400 a year. 88% cheaper, same quality

intelligence was never the bottleneck. organizing it was. the full system is in the article below

[Dep @0xDepressionn]

https://t.co/DGep0M16LP

[KingWilliam @kingwilliam_]

WHILE ONE GUY SLEPT, 11 AI AGENTS CLOCKED INTO A VIRTUAL OFFICE AND RAN HIS ENTIRE WORKDAY - NO PAYROLL, NO BREAKS, NO HUMAN IN THE LOOP

that little pixel office isn't a game. every character is a Claude agent doing a real job on a schedule

most people use Claude like a smarter search bar - ask, copy the answer, move on. this doesn't wait for you to ask

each agent is a workflow: a ROLE written into its prompt - TOOLS that touch your files, email, calendar, the web - a TRIGGER that clocks it in without you - an OUTPUT it hands you finished

trend scout dropping 7 ideas in your inbox at 8am (5 hours a week back) - lead qualifier saying call or skip before you reply - client report building itself end of month (3-4 hours per client) - morning briefing handing you the whole day in one message

the chat answers. the office works.

right now you're doing by hand what an empty desk in that office could do overnight. hire the first agent tonight

build your first workflow in 30 minutes and wake up to it already done. the full guide is below

[Chrome @0xchromium]

https://t.co/dkhSaEMsNE

[KingWilliam @kingwilliam_]

THIS GUY IS RUNNING AN ENTIRE COMPANY OF AI AGENTS OFF ONE SCREEN - A CEO, A COO, MANAGERS, COPYWRITERS, ALL OF THEM CLAUDE

he's not chatting with a model. he built an org chart and hired it

and that's the exact shift a team just used to cut their AI bill from $62,000 a month to $7,800 without losing an ounce of quality

most people route everything through one expensive model and wonder why it costs a fortune. these guys split it like a company

Opus 4.8 sits at the top as the brain - it plans, assigns the work, sets the quality bar, reviews every output. it doesn't do the work, it directs it

Kimi K2.6 Agent Swarm is the workforce - 300 specialized agents, 4,000 steps in parallel, $0.60 per million tokens, shipping real files while the boss reviews

the rule is dead simple: if you can write a rubric a machine could grade, the swarm executes it. if you can't, Opus handles it himself

a 30-codebase audit that quotes $15k-40k from consultants runs for $12-40 in tokens. the org chart does it overnight

$54,200 saved every month. $650,400 a year. same output, at the price it should've always been

most people still use AI like a chat window. these guys built a company where one model thinks and hundreds of agents do the work

[Dep @0xDepressionn]

https://t.co/DGep0M16LP

[KingWilliam @kingwilliam_]

instead of 2 hours of Netflix tonight, watch this Karpathy podcast

OpenAI co-founder Andrej Karpathy:

"these models have no persistent memory. every conversation starts from zero - they forget everything you ever told them"

he spent the whole episode on Dwarkesh's podcast on this exact problem: the model is brilliant, but it doesn't know YOU, and it never remembers

that's the real ceiling almost everyone is hitting and nobody names

you're not limited by the model. you're limited by the fact that it starts blind every single time

the fix isn't waiting for memory to ship. it's giving the model an external memory YOU own and control

that's the entire point of a second brain:

> one local folder of plain-text notes - your ideas, projects, years of thinking
> linked into a network the model can actually read
> one MCP connection and Claude reads + writes the whole thing
> now it stops starting from zero and starts thinking with everything you know

Karpathy describes the problem. the article below is the 30-minute fix - a second brain in Obsidian that Claude reads directly

swap one Netflix night for this: watch the episode, then build the system below

those two things alone put you ahead of 99% of people using AI right now

[KingWilliam @kingwilliam_]

https://t.co/8oaoC9NJcM

[KingWilliam @kingwilliam_]

CLAUDE OPUS 4.8 BUILT A FULLY PLAYABLE PIXEL-ART PLATFORMER IN ONE SHOT - ANIMATIONS, ENEMIES, A REAL LEVEL, FROM A SINGLE PROMPT

but look closer at what that game actually IS

every sprite, every enemy, every level - it's all just plain text claude wrote and can read back

that's the whole secret nobody connects:

> claude doesn't think in apps or databases
> it thinks in plain text it can read and write
> the game is plain text
> and your notes can be plain text too

this is exactly why Obsidian is the move - it saves every note as a plain markdown file on YOUR drive

no database, no cloud you don't control, nothing claude can't read - just text

so the only question left is what you point it at

point it at a blank prompt - you get a game

point it at your Obsidian vault - you get a second brain:

> your ideas, projects, six months of thinking, all in plain markdown
> linked into a network claude can walk note to note
> one MCP connection and claude reads + writes the entire vault
> it stops answering from internet sludge and starts thinking with everything YOU know

same model. same one-shot power. now living inside your own knowledge

people are benchmarking claude by what it builds from a prompt

the real unlock is what it builds from your Obsidian brain

2026 is wild (and its going to get even wilder)

the full 30-min Obsidian + Claude setup is in the article below

[KingWilliam @kingwilliam_]

https://t.co/8oaoC9NJcM

[KingWilliam @kingwilliam_]

THIS ONE LOCAL FOLDER REMEMBERS EVERY IDEA YOU'VE EVER HAD - AND THE AI READING IT THINKS WITH YOUR KNOWLEDGE, NOT INTERNET SLUDGE

capture agent dumps every thought into one inbox in under 10 seconds - linking turns loose notes into a network that compounds every week - daily notes build a timeline of your thinking automatically - and Claude reads the whole vault on command and writes new notes straight back

all connected to one central brain that remembers every idea, every project and every connection across six months of your thinking

now the real question is which setup you build this on

a notes app wins on convenience - opens fast, syncs everywhere, zero config - but it rents you your memory and can change pricing, lock it, or shut down with your ideas inside

Obsidian + Claude wins on everything that matters - plain text on your own drive, permanent, openable in 40 years, and the one MCP connection that turns a pile of notes into something that answers you

if you just want somewhere to type - use a notes app

if you're building memory that compounds and an AI that thinks inside it - use Obsidian + Claude

most people reading this already know which group they belong to.

the full 30-minute setup is below.

[KingWilliam @kingwilliam_]

https://t.co/8oaoC9NJcM

[KingWilliam @kingwilliam_]

1,400 NOTES IN ONE FREE APP JUST REPLACED A $3,000 RESEARCH STACK

Every dot on his screen is a note, all 1,400 of them wired into a single brain.

Every idea, every client call, every piece of research he's ever saved lives in one Obsidian vault.

He built the entire thing in 30 minutes and paid $0 for the software.

Then he pointed Claude at the vault and it started answering from two years of his own thinking on command.

A note from 18 months ago now finds him mid-sentence, right when it's worth money.

While the average person forgets 98% of what they learn, he turns his into output that pays.

The people who build this in 2026 will out-earn the ones still losing notes across 6 apps.

The full 30-minute build is in the article below.

[KingWilliam @kingwilliam_]

https://t.co/8oaoC9NJcM

[KingWilliam @kingwilliam_]

YOU DON'T HAVE A NOTES PROBLEM YOU HAVE A RETRIEVAL PROBLEM

you've saved thousands of good ideas and you can't reach a single one when it actually matters

folders and tags just hide the mess in a neater way

the fix is connecting an actual brain to the pile - Claude reads the whole vault and the right note finds you mid-thought

bookmark this before you start another note you'll never open again

[KingWilliam @kingwilliam_]

https://t.co/8oaoC9NJcM

[KingWilliam @kingwilliam_]

A SECOND BRAIN YOU NEVER QUERY IS JUST A PRETTIER DIARY

everyone obsesses over the folders and the plugins and the perfect naming system

but a vault full of notes sits there doing nothing until something can read it all back to you

that something is Claude - point it at the folder and six months of your own thinking finally answers when you need it

build the whole thing in 30 minutes in the article below

[KingWilliam @kingwilliam_]

https://t.co/8oaoC9NJcM

[KingWilliam @kingwilliam_]

CLAUDE CODE WAS BLIND TO ANYTHING AFTER ITS TRAINING DATE. NOT ANYMORE.

by default Claude Code only knows what it was trained on - it can't see anything new.

one free tool fixes that and gives it live web search and real research, right inside the terminal.

here's how to turn it on:

1. open Claude Code

2. paste this line and hit enter:

claude mcp add --transport http exa https://t.co/HwhMNja3vF

3. type /mcp and approve the connection in your browser

that's the whole setup. it's free and there's nothing else to configure.

now just talk to it like normal:

- "research [token]: team, funding, audits, recent on-chain activity - with sources"
- "what changed in Claude Code this week?"
- "find the latest docs for [tool] and tell me what's new"

instead of guessing from old memory, Claude now reads the current web while it answers you.

that's the jump from a chatbot to a real research assistant - and it took 60 seconds.

[Dep @0xDepressionn]

https://t.co/CIPraf2KwQ

[KingWilliam @kingwilliam_]

Anthropic's CEO "50% of all tech jobs will be completely wiped out within 1-5 years"

he said it on national television

here's what nobody in that interview mentioned - the developers who'll survive aren't the ones with the best resumes. they're the ones who figured out how to make AI actually listen to them

right now Claude Code has one critical flaw. every time you open it, it forgets everything. your stack, your rules, your last 10 sessions - gone

one developer found Karpathy's notes on the 4 behaviors that break Claude Code and turned them into a single file. CLAUDE.md. paste it in your project root and coding accuracy jumps from 65% to 94%

82,000 developers already starred it on GitHub. here's the full breakdown of what goes inside and how to set it up:

[KingWilliam @kingwilliam_]

Y Combinator just taught a Startup School lecture on building AI-native companies.

Diana Hu, YC Partner, said the quiet part out loud: AI isn't making teams more productive. it's replacing the need for teams entirely.

229,000 people watched this. most of them are still hiring.

> the old model: hire 3-5 people. pay $8,000-15,000/month in overhead. manage them. hope the output is consistent.
> the new model: one person. one AI. one system. same output. 95% margins.
> she's not talking about cutting corners. she's talking about a structural change in how companies get built.

the article below is the proof.

someone built a $5,000/month content agency with one client, no team, and 6 hours of work per week. their only tools: Claude, a scheduling app, and a Google Doc.

that's not a freelancer. that's a company with $60,000/year revenue and zero employees.

the lecture is 10 minutes. the article is the playbook.

full breakdown below

[Chrome @0xchromium]

https://t.co/nmcO6WTp2c

[KingWilliam @kingwilliam_]

Maor Shlomo built Base44 alone. no team. no funding. severe ADHD. two wars happening in his country.

$1,000,000 ARR in 3 weeks. $80,000,000 acquisition by Wix in 6 months.

Lenny Rachitsky just did a full breakdown of how he did it:

> he didn't mass-hire engineers. he wrote code with AI.
> he didn't raise a round. he launched and let revenue fund everything.
> he didn't spend 18 months on an MVP. he shipped in weeks.
> 400,000 users before a single dollar of outside capital.

the pattern is the same every time now. one person. AI handling the output layer. margins that weren't possible 2 years ago.

the article below is the technical playbook for building exactly this type of product. the stack, the cost, the weekend timeline.

full breakdown below

[Noisy @noisyb0y1]

https://t.co/HsF0YhWVWn

[KingWilliam @kingwilliam_]

your life in 60 days if you master these 10 prompting rules before everyone else does

[KingWilliam @kingwilliam_]

https://t.co/G78BraobWN

[KingWilliam @kingwilliam_]

Anthropic just mass-dropped a 1-hour masterclass on prompt engineering with their entire team

Amanda Askell, Alex Albert, David Hershey, Zack Witten - the people who literally build Claude sat down and explained how to talk to it properly

and 99% of users will never watch it

I did. took notes. tested everything they said against my own workflows

here's what hit different:

> the way you open a conversation with Claude determines the quality of everything that follows
> most people prompt like they're googling - one line, zero context. that's why their outputs feel generic
> the best prompts aren't questions - they're structured briefs with constraints, examples and a definition of "done"
> chaining 3 short prompts beats 1 mega-prompt every single time

I distilled their full framework into 10 rules and 20 ready-to-use prompts

no fluff. no theory. just the system that works

it's right below this post

[KingWilliam @kingwilliam_]

https://t.co/G78BraobWN

[KingWilliam @kingwilliam_]

A BRAZILIAN DEVELOPER BUILT A KNOWLEDGE GRAPH THAT MAPS EVERY PROMPT HE'S EVER WRITTEN AND IT MADE HIM $47,000 IN 3 MONTHS

1,400 nodes on a black screen - each one a prompt he tested, refined and connected to every other prompt that worked.

The graph updates every 10 minutes and rearranges itself based on which prompts generated the highest output quality measured by a scoring system he built inside Obsidian.

He started with 200 disconnected notes sitting in folders and realized that prompting isn't about individual messages - it's about the network between them.

The nodes that cluster together share the same 10 structural rules and the ones floating alone are the ones that never worked.

He now sells prompt audits to SaaS companies for $3,500 each and his entire methodology fits in one article.

The graph is the map. The rules are the territory.

[KingWilliam @kingwilliam_]

https://t.co/G78BraobWN

[KingWilliam @kingwilliam_]

the CEO of Anthropic sat down with Bloomberg at Davos and said something that stuck with me

"most people are using maybe 10% of what these models can actually do"

he's not wrong. I tested this myself

I gave Claude the same task twice - once with a basic prompt, once with a structured prompt using specific rules

the difference wasn't 10%. it was a completely different output

here's what I learned after months of testing:

> your first message to Claude determines everything that follows
> the best users don't ask questions - they give context, constraints, and examples
> 10 specific rules separate generic output from expert-level results
> 20 prompts cover 90% of what professionals actually need

I compiled all of it into one article - 10 rules and 20 ready-to-use prompts

it's right below this post

[KingWilliam @kingwilliam_]

https://t.co/G78BraobWN