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regent0x
415 posts
regent0x
@regent0x_
sharing alpha what works, what breaks, and what prints
Katılım Şubat 2026
166 Takip Edilen1K Takipçiler
A 19-year-old from China makes $6,000 a month in CS2 and has never opened the game once.
He found a $4 billion market hiding inside Counter-Strike that most people never notice - Valve doesn't control prices, no taxes, no SEC.
The same knife costs $214 on Steam and $161 on Buff163 simultaneously - a 32.9% gap on the exact same item.
He spent one evening describing what he wanted - Claude built an arbitrage scanner, a float sniper and a news bot.
When s1mple announced his retirement from NAVI a $0.10 sticker hit $0.50 in 2 hours. +400%. Entry window was 15 minutes. He was sleeping and the bot caught it automatically.
The market doesn't close at night. Claude doesn't get tired. He just watches the numbers go up.
Anatoli Kopadze@AnatoliKopadze
English
quit his job 4 months ago to build a saas alone
launched last week: $12k MRR in 6 days
his entire engineering team: “2 devices online”
one M4 mac mini, one main mac, both running AI agents
controlled from an ipad on the couch
shipped 3 PRs yesterday while watching netflix
the setup looks like a joke until you see the output
white desk, mac mini sitting next to a speaker, ipad with keyboard in front
on the ipad screen: “WORKBENCH - 2 devices online”
two purple cards showing “M4 Rex” and “Main Mac”, both connected from Minneapolis
he controls everything from the couch
doesn’t even sit at a desk anymore
here’s how it works:
the M4 mac mini runs the “builder” agent - writes features, implements specs, handles all the heavy coding
the main mac runs the “guardian” agent - reviews every PR, runs tests, checks for security issues, blocks anything that doesn’t pass
they communicate through a shared queue
builder pushes code > guardian reviews > builder fixes feedback > guardian approves > auto-merge
he watches the whole thing happen from his ipad while half-paying attention to netflix
the terminal on screen shows “astrobot” running _ some kind of orchestration layer managing both agents, routing tasks, handling webhooks
another window shows OpenClaw interface with chat logs:
“Amazon: 2026-04-06”
“Shopify: 2026-04-07”
“can you launch the python inventory scheduler?”
agents responding with tool outputs, status updates
this is his entire product development workflow
the timeline:
> week 1-2: set up the dual-agent system, wrote CLAUDE.md files for each machine
> week 3-4: built the MVP while agents handled 70% of the code
> month 2-3: iterated based on beta feedback, agents shipped fixes overnight
> month 4: launched publicly
traditional estimate for this saas with one developer: 8-12 months
he did it in 4, while spending half his days on the couch
the ROI math:
> 2 mac devices: ~$2,000 total (he already owned one)
> claude subscriptions: $40/month
> his time: maybe 4 hours of real work per day
> revenue after 6 days: $12k MRR
$144k ARR run rate from a couch and two mac minis
his friends thought he was crazy for quitting
“how are you going to build a whole product alone”
he built a product AND an engineering team
just not the kind anyone expected
regent0x@regent0x_
English
This guy explains in 30 seconds what took me a month to figure out
n8n workflows are how people are building $5-10k/mo automation businesses right now. Zero code required.
Just Claude Code
Once you see one get built, you can't unsee it
Build your first one tonight
YAROSSLAV@undefinedKi
English
@TheGuySwann yeah you’re right, running them nonstop will eat through limits fast
i batch tasks at night, specific jobs, not infinite loops. and for simple stuff i use local models through ollama so i’m not burning calls on every little thing
English
You can’t plug agents into Claude subscription anymore, and you’d hit limits within the first 24 hours if they ran nonstop.
No way this is actually being done for that price unless he is running local. And if he’s doing that there will be a lot more cleanup and checking to do.
I’ve read dozens of these types of posts and think they are about getting attention, not realistic setups.
English
regent0x retweetledi
his “dev team” costs $100/month and ships faster than a $50k/month engineering squad
made $34k/month
5 mac minis stacked on a rack next to pink dumbbells
each one running a specialized AI agent with its own role
they don’t talk to each other, don’t share context, don’t conflict
just ship code 24/7 while he sleeps
the setup looks ridiculous until you hear the numbers
5 mac minis stacked vertically in some kind of custom holder, cables everywhere, power meter showing real-time electricity usage
next to it: a laptop with a dashboard showing all agents working
on the shelf above: pink dumbbells because why not
this man built a full engineering team for the cost of one junior dev’s weekly coffee budget
here’s what each mini does:
mac mini 1 - the architect
> reads product requirements, breaks down features into tasks
> writes technical specs before anyone touches code
> has its own CLAUDE.md that says “you never write code, only plans”
mac mini 2 - the coder
> takes specs from the architect, writes implementation
> full tool access, can create files, run builds
> its CLAUDE.md says “you never make architecture decisions, just execute the plan”
mac mini 3 - the reviewer
> reads every PR with security-first mindset
> flags issues, checks test coverage, suggests improvements
> its CLAUDE.md says “you never write code, only review it”
mac mini 4 - the tester
> writes unit tests, integration tests, e2e tests
> runs the full test suite before anything merges
> its CLAUDE.md says “nothing ships without your approval”
mac mini 5 - the ops
> handles deployment, monitors production, fixes CI when it breaks
> the only agent with access to infrastructure configs
> its CLAUDE.md says “you never touch application code”
clean separation
coder never sees deployment secrets
reviewer can’t push code even if it wanted to
ops doesn’t care about business logic
they communicate through a shared task queue, not through each other
no context bleeding, no confusion, no conflicts
the math is disgusting:
> 4 retainer clients paying $7-10k/month
> monthly revenue: $34k
> 5x claude subscriptions: $100
> electricity: $15
> profit margin: 99.6%
$115/month for a full engineering team that works nights and weekends
his output last month:
> 847 commits across 3 client projects
> 12 features shipped
> 2 full product launches
> 0 production incidents
he reviews PRs in the morning, gives feedback, agents iterate during the day
by evening: ready to merge
he’s running a one-man agency that outdelivers shops with 10 people
the clients have no idea
they just see features shipping faster than expected
regent0x@regent0x_
English
No team. No lab. No billion-dollar suit.
Just a text file.
And an AI that never forgets.
He walks in, opens the laptop - and it already knows.
His voice. His style.
His decisions. His rules.
Tony Stark had J.A.R.V.I.S.
This guy has CLAUDE.md.
Same energy. Different zip code.
Anatoli Kopadze@AnatoliKopadze
English
@Atenov_D @Polymarket @PolymarketTrade @obinnamh @KaKashiCrypto_ @zleeepy0 @toxzique @mohin_web3 will try to use it. useful info btw thx
English
Senior engineer brain. Goldfish memory. That's Claude Code without these 3 repos.
Yesterday's architecture decision? Gone. The Tuesday bug fix with a specific workaround? Gone.
Every morning you re-explain the entire project from scratch.
Three open-source plugins fix exactly this.
> claude-mem kills the amnesia. SQLite under the hood, AI compression after every session, relevant context injected back next morning. After a week you stop noticing it - which is the point.
Superpowers kills the "code first, think later" reflex. Claude doesn't touch a file until it names the problem, lists options, picks one. 100 lines that work instead of 400 that need rewriting.
Everything Claude Code kills the "rebuild from scratch every project" loop.
Dozens of specialized agents, slash commands that replace paragraphs of prompting, skills that load on demand.
> And buried inside ECC - AgentShield.
1,282 tests, 102 rules, scans your entire Claude Code setup for the exact vulnerability that leaked 1.5M API tokens at Moltbook in early 2026.
npx ecc-agentshield scan
30 seconds. Run it on every project.
Full breakdown in the article.
shmidt@shmidtqq
English
This guy literally explains how to connect Claude Code to a Shopify store.
Not theory. Actual setup.
Once connected, Claude can read product data, understand the catalog, generate descriptions, structure collections and help update the store without touching every product manually.
That used to be a $2k/month VA, a junior SEO guy and a content manager.
Now it’s slowly getting compressed into one terminal.
This is the real e-commerce shift.
Not AI writing copy.
AI running the boring ops layer behind the store.
The full article breaks down the whole system across Amazon Merch, Etsy, Gumroad and Shopify in more detail.
NO1ennn@N01ennn
English
> when you realize the trick isn’t 5 mac minis making $34k/month
> it’s that each agent has a CLAUDE.md starting with “you never…”
> you never write code. you never review. you never deploy
> [constraints > capabilities]
> turns out AI works exactly like people - give it too many jobs and it does all of them badly
regent0x@regent0x_
his “dev team” costs $100/month and ships faster than a $50k/month engineering squad made $34k/month 5 mac minis stacked on a rack next to pink dumbbells each one running a specialized AI agent with its own role they don’t talk to each other, don’t share context, don’t conflict just ship code 24/7 while he sleeps the setup looks ridiculous until you hear the numbers 5 mac minis stacked vertically in some kind of custom holder, cables everywhere, power meter showing real-time electricity usage next to it: a laptop with a dashboard showing all agents working on the shelf above: pink dumbbells because why not this man built a full engineering team for the cost of one junior dev’s weekly coffee budget here’s what each mini does: mac mini 1 - the architect > reads product requirements, breaks down features into tasks > writes technical specs before anyone touches code > has its own CLAUDE.md that says “you never write code, only plans” mac mini 2 - the coder > takes specs from the architect, writes implementation > full tool access, can create files, run builds > its CLAUDE.md says “you never make architecture decisions, just execute the plan” mac mini 3 - the reviewer > reads every PR with security-first mindset > flags issues, checks test coverage, suggests improvements > its CLAUDE.md says “you never write code, only review it” mac mini 4 - the tester > writes unit tests, integration tests, e2e tests > runs the full test suite before anything merges > its CLAUDE.md says “nothing ships without your approval” mac mini 5 - the ops > handles deployment, monitors production, fixes CI when it breaks > the only agent with access to infrastructure configs > its CLAUDE.md says “you never touch application code” clean separation coder never sees deployment secrets reviewer can’t push code even if it wanted to ops doesn’t care about business logic they communicate through a shared task queue, not through each other no context bleeding, no confusion, no conflicts the math is disgusting: > 4 retainer clients paying $7-10k/month > monthly revenue: $34k > 5x claude subscriptions: $100 > electricity: $15 > profit margin: 99.6% $115/month for a full engineering team that works nights and weekends his output last month: > 847 commits across 3 client projects > 12 features shipped > 2 full product launches > 0 production incidents he reviews PRs in the morning, gives feedback, agents iterate during the day by evening: ready to merge he’s running a one-man agency that outdelivers shops with 10 people the clients have no idea they just see features shipping faster than expected
English
> you could literally paste 500 angry amazon reviews into claude and find a product with 51% margin that nobody is selling
> while everyone else is copying the same broken design and fighting over scraps
> the edge was never “find what’s trending”
> it was “find what’s broken”
Gipp 🦅@gippp69
English
@regent0x_ I wish these types of posts included:
- What he created
- How long did it take to setup
- Did it bring in any money
- What was the ROI
English
@FabioAlfDee so why it didn’t work like that? just set your minis and agents inside. all that remains is to configure them for your tasks. nothing special
English
@regent0x_ This is a nice post to go viral, but it doesn’t really work like that. And most of this is nonsense in my opinion.
Source: I work daily with local LLMs both on Mac and GPUs
English
crypto twitter spent 6 months explaining "BTC psychology" and "support levels"
a Chinese quant nobody follows just cleared $350,000 doing something different
he doesn't watch charts, he doesn't have hot takes
he has closed order book data, private OTC feeds, and 10,000 simulation cycles per trade
April 24: enters a position at 1.3% implied probability. $2,000 turns into $166,000 in one fill
every trade publicly visible onchain
luck doesn't repeat 350 times
"reading the market" doesn't beat math
chart patterns don't beat MiroFish
the people calling this luck are the same people he's been fading for 6 months
this isn't trading - this is engineered money
you can copy every one of his trades using a bot: @cvxv666" target="_blank" rel="nofollow noopener">kreo.app/@cvxv666
cvxv666@antpalkin
Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: @gobblewobble?r=antopotoshka#QvoitRw" target="_blank" rel="nofollow noopener">polymarket.com/@gobblewobble?…
His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot: @cvxv666" target="_blank" rel="nofollow noopener">kreo.app/@cvxv666 English
freelancer made $47k in 9 days on a contract meant for a 3-person team
delivered 4x faster than quoted
his entire “workflow” is eating mcdonald’s while 3 AI agents ship code in parallel
client still thinks he’s a genius
saw this setup in a video at 2am and couldn’t sleep after
guy sitting at his desk, fries and coke next to the keyboard, two monitors filled with code
but he’s not typing anything
his hands are literally reaching for fries while the terminals scroll on their own
here’s what’s actually happening on screen:
left monitor: CLAUDE.md file - one markdown document that tells claude everything about his project, his stack, his rules, his conventions
right monitor: claude-squad dashboard with three colored blocks - each one a separate agent working on a separate branch
> agent 1: crushing through bug fixes
> agent 2: writing tests for the entire API
> agent 3: refactoring frontend components
three workstreams running simultaneously
zero conflicts because each agent has its own git branch
all merging clean when he wakes up
his process every night:
opens terminal, spins up claude-squad, assigns three tasks, enables auto-accept mode
closes laptop
goes to bed
wakes up to pull requests ready for review, tests passing, code shipped
the client hired him for a 6-week project assuming he’d need a team
he quoted 40% below market rate
everyone thought he was lowballing out of desperation
9 days later: delivered, polished, working
$47k for two weeks of “work” where most hours were spent sleeping or eating fast food
the agents don’t get tired, don’t need breaks, don’t lose context
they just execute while he lives his life
all of this runs on a $20/month claude subscription
same tools available to everyone reading this
the difference is just knowing how to set it up
regent0x@regent0x_
English
@IsrafilOnchain everyone wants to print money while eating mcdonalds
English
@regent0x_ each agent specialization sounds neat but how does he manage version control for parallel shipping without context collisions
English
this chinese developer making $320k/year as a solo contractor
his secret: 5 AI agents running in parallel, each one a specialist
architect, coder, reviewer, tester, ops
they don’t share context, don’t step on each other, just ship
he takes on projects meant for teams of 5-8 engineers
delivers in half the time
keeps the entire budget
found this video on bilibili at 3am and watched it four times
guy sitting at his desk, two monitors filled with code, and he’s barely touching the keyboard
here’s what’s happening on his screen:
> agent 1 (architect): designs system structure, breaks down features into tasks, decides what gets built first
> agent 2 (coder): writes the actual implementation based on architect’s specs
> agent 3 (reviewer): checks every piece of code for bugs, edge cases, security issues
> agent 4 (tester): generates test cases, runs them, reports failures back
> agent 5 (ops): handles deployment, monitoring, infrastructure
five separate claude code instances running simultaneously
each one has its own system prompt, its own context, its own specialty
they communicate through a shared task queue, not through each other
that’s the key insight - no shared context means no conflicts
agent 2 doesn’t know what agent 3 is doing
agent 4 doesn’t care what agent 1 decided
they just pick up tasks, complete them, move on
he showed his contract history:
> 3D rendering pipeline for a gaming studio: $25k
> automated trading dashboard: $33k
> enterprise CRM rebuild: $44k
all completed solo, all delivered early, all clients thought they were hiring a team
the code on his screen is python with blender integration - complex stuff that would normally require 3-4 specialists
he’s shipping it in days while the client expects weeks
while he’s explaining the system to camera, commits are happening in the background, tests running, deployments going out
all while he’s literally not touching the keyboard
his API costs run about $2k/month
his revenue averages $26k/month
that’s a 13x return on his AI investment
this is the new solo developer playbook
don’t compete with teams
become the team
regent0x@regent0x_
English
The CIA pays $340,000 a year for analysts with classified satellites to predict geopolitics. A Wharton professor wrote the exact playbook to beat them & put it in a $15 paperback.
- Superforecasting: The Art and Science of Prediction
352 pages. Zero to superforecaster. Outside view, Fermi estimation, Bayesian updating, dragonfly eye, perpetual beta & the 10 commandments.
the same method a retired Nebraska hydrologist used to out-predict cleared CIA analysts by 30% in the IARPA tournament.
Bookmark before someone takes it down.
Roan@RohOnChain
English
Don't miss 100% profit on UFC this weekend
Della Maddalena x Prates
This is Power + Explosiveness (Prates) vs. Volume, Pressure & Durability (JDM)
Both won 4/5 last fights
> JDM it's about elite boxing volume + pressure, excellent clinch work (elbows), high fight IQ, elite durability (very hard to finish), strong cardio for deep fights. Home crowd in Perth will be massive
> Prates have terrifying one-shot power (18 KO/TKO wins), creative striking (spinning elbows, knees, flying attacks), length/reach advantage (6'1" vs 5'11"), dangerous in the first 2 rounds
But did you saw last JDM fight with Makhachev? It was like joke..
My opinion that it's time for new blood. Prates will win his opponent and it might be a KO
My trade: Prates YES on 53c
Who will win here?
English