Antid

200 posts

Antid banner
Antid

Antid

@antisadh

Miami Katılım Şubat 2023
48 Takip Edilen229 Takipçiler
Antid
Antid@antisadh·
JAKE MILLER REPLACED A $40,000/MONTH AWS BILL WITH 100 MAC MINIS IN HIS APARTMENT. EVERY AI SUBSCRIPTION NOW FREE AT $3 IN ELECTRICITY PER BOX jake was paying $40,000 a month renting H100 servers in the cloud for his AI startup, the quality was magic but the burn rate was killing the runway he did the math on running it locally and bought 100 mac mini m4s, racked them in his bedroom pulling less total power than three nvidia servers while delivering the same throughput claude code, chatgpt pro, gemini, cursor and copilot used to cost him another $459 a month combined, all of them now run free on his local stack with one environment variable ollama added support for the anthropic messages api in january 2026, so claude code itself connects to your local mac mini with one line of code, same interface, zero subscription bills apple stores ran out of mac minis in 2026 because $599 one time beats $200 a month forever, that shortage is the most honest product review any machine has ever received the window is open, follow and bookmark before it closes.
starmex@starmexxx

x.com/i/article/2060…

English
6
1
11
1.1K
Antid
Antid@antisadh·
@leopardracer headcount as liability instead of leverage is the sentence that defines the next 5 years
English
0
0
0
32
leopardracer
leopardracer@leopardracer·
RONIN RUNS A $40K/MO AGENCY WITH ZERO EMPLOYEES this guy spun up a CEO, COO and a full agent workforce in half an hour, all running claude under the hood, all tasks visible in real time, all approvals through one inbox his total costs: $750/month, 90% margin, zero payroll, zero standups, zero “let me check with my team” what used to cost $30k/month in salaries now costs cents in api calls headcount isn’t leverage anymore, it’s a liability bookmark this and drop a like👇
Ronin@DeRonin_

x.com/i/article/2059…

English
21
7
70
9.7K
Antid
Antid@antisadh·
@0xRicker edge = fair_prob - market_price is the whole formula and people still refuse to write it down
English
0
0
0
56
0xRicker
0xRicker@0xRicker·
Ex-Citibank quant trader built Polymarket bot and turned $968 → $155,475 using one edge I traced his 13,744 trades using Claude → backtested his strategy on 77M trades dataset that gap is the secret: fair_prob = 0.50 market_price = 0.02 to 0.25 edge = fair_prob - market_price the edge is not one price. it's a probability model that runs on every 5-minute BTC window and only fires when the market price disagrees with it. edge = fair_prob - market_price when the gap is wide enough, it enters. that's why his fills land everywhere from 2¢ to 67¢. sometimes the crowd underprices a cheap longshot, sometimes it misprices a near-coinflip at 50¢ Profile: @xuanxuan008?r=joinjoinjoin" target="_blank" rel="nofollow noopener">polymarket.com/@xuanxuan008?r…
0xRicker tweet media
English
20
5
76
4.6K
Antid
Antid@antisadh·
@slash1sol 78.6% win rate on a market where the question is "do they ship on time" and almost nobody plays this side
English
0
0
0
22
slash1s
slash1s@slash1sol·
While everyone waits for GPT-5.6, this trader is quietly betting it WON'T ship on time and making bank. [Dzibra1998.] only trades AI release-date markets on Polymarket. > NO on GPT-5.6 by June 8: $10.6K in at 77.1¢ -> now $13.5K -> +27.5%. > NO by June 15: +100.3%. > NO by June 5: +25.6%. 78.6% win rate with $9,171 PnL. He turned $498 into this since January. The edge is simple: model launches always slip. The crowd trades rumors but he trades the engineering timeline. Check his here -> @Dzibra1998" target="_blank" rel="nofollow noopener">predictparity.com/traders/p/@Dzi….?code=slash
slash1s tweet media
slash1s@slash1sol

Just went all-in on France to beat Senegal at the World Cup and I didn't wait a single second for the fill. The fastest sports prediction exchange just went public. @predofficial doesn't move like a betting site. It moves like an exchange. > Market order on France moneyline at 68¢. > Filled in under 200ms -- instant. > Spreads under 2%, zero house edge. > Cash sitting idle? Still earning 6% APY till kickoff. No book, no house taking the other side and no getting capped or banned the moment you start winning. It's peer-to-peer -- you trade sports outcomes like assets, against other traders, on Base. And the launch came loaded: > Brand new desktop UI -- full order book, long/short, market & limit. > New sports live on day one. > FIFA Friendlies. > World Cup markets running right now. > Exclusive future markets you will NOT find on any other platform. Sportsbooks were built to beat you. PRED was built so you can't be stopped. The Sports Prediction Exchange has arrived. Winners welcome and this time they mean it. Trade the game -> pred.app/?referral_code… Don't forget to bookmark it.

English
36
3
81
3.2K
Antid
Antid@antisadh·
@vorty279 monetizing speed and aggregation instead of content is the move most curators still haven't figured out
English
0
0
0
15
Antid
Antid@antisadh·
@insomnia_vip @Polymarket 0.3c on a bitcoin market most traders never even loaded, 25,312% return on patience nobody else had
English
0
0
0
16
Insomnia
Insomnia@insomnia_vip·
For 10 years he managed air traffic without losing a single plane Then the tower was automated and he lost the job A few months later he turned $1,100 into more than $800,000 on @Polymarket His wallet is public: @easyclap?via=insomnia" target="_blank" rel="nofollow noopener">polymarket.com/@easyclap?via=… Most traders are still looking for the perfect signal He built a system that runs hundreds of them at once At the center is Claude Opus 4.8 Around it are up to 250 AI agents scanning order books, market data, news feeds and prediction markets in parallel Every opportunity gets broken down, checked, scored and reviewed before capital is deployed In one trade, a Bitcoin market was trading at just 0.3c The system accumulated 27,684 shares for $62.44 A few days later the position settled for $15,127 That's a 25,312% return from a market most traders never even noticed He doesn't really operate a trading bot He operates an entire trading desk made of AI agents The tower got automated Then he automated everything else Connect wallet to this bot and automatically copy every trade: t.me/poly_parlay_bo…
kiosa@thegreatest_sv

x.com/i/article/2062…

English
16
0
31
355
Antid
Antid@antisadh·
@gippp69 five engineers replaced by one founder with supabase and vercel is the whole shift in one sentence
English
1
0
2
431
Gipp 🦅
Gipp 🦅@gippp69·
26-YEAR-OLD GIRL QUIT HER JOB AND BUILT A SMALL SOCIAL NETWORK FOR NYC CAFES. 31,000 USERS IN 4 MONTHS. NOW IT MAKES $18,400/MO FROM LOCAL SHOPS she didn’t try to build another instagram. she built a tiny app for one obsessed niche: people who save cafes, share lists, follow local taste, and discover places before they go viral on tiktok the product is simple. profiles, posts, likes, saved lists, search, comments, and a feed. that is basically every social network at the core. the hard part was never the idea. it was needing 5 engineers to make it work claude code changes that. one person can now build auth, database, feed logic, profiles, follow system, storage, notifications, and deployment with supabase and vercel instead of hiring a full team the money is not from ads. cafes pay $199/month to claim their page, boost new menu drops, see which lists saved them, and post local offers. power users pay $8/month for private maps and early city guides most people still think social networks need millions of users. she proved the opposite. 10,000 people in one niche can be worth more than 100,000 random users scrolling for nothing small social networks are the new local media businesses. claude code just made them cheap enough for one person to start one from a laptop
Shadow Nick@doublenickk

x.com/i/article/2061…

English
48
45
548
60.5K
Antid
Antid@antisadh·
@spectnfa the lead list was already there, claude just made the pitch faster than the rejection ever could
English
0
0
0
25
Antid
Antid@antisadh·
@Kaffchad we're watching the solo founder era unfold
English
0
0
0
65
Kaff 📊
Kaff 📊@Kaffchad·
@antisadh Marcus is proof you don't need a big operation to make a big impact, just a solid idea and the guts to run with it.
English
1
0
1
108
Antid
Antid@antisadh·
A STANFORD DROPOUT INSTALLED HERMES AGENT IN HIS BEDROOM AND MAKES $32,000 A MONTH SELLING REPORTS THAT USED TO COST CLIENTS $5,000 EACH his name is marcus. he runs the whole thing from a desk in his parents house with a single mac mini and no employees he started this as a side project. ran hermes against one fitness market research brief, delivered in 3 hours what a research team takes 2 weeks to produce. the client paid $4,000 and asked for 5 more hermes writes its own skills after every job. by month 2 it had 47 saved workflows, every new client report finishes 40% faster than the last. marcus just sells, hermes does the work a normal research firm charges $5,000 per report and takes a week. marcus charges $2,500 and delivers in a day. he has 13 clients on retainer and nets 96% margin the box pulls $3 a month in electricity. no API fees, no claude bill, nothing leaves his machine. uber burned through $3.4 billion in AI budget in 4 months on the same kind of work the window is open, follow and bookmark before it closes.
leopardracer@leopardracer

x.com/i/article/2062…

English
19
10
106
20.9K
Antid
Antid@antisadh·
A DEVELOPER SPENT $170 ON CLAUDE IN 10 DAYS. THEN A $599 MAC MINI STARTED RUNNING AI LOCALLY FOR $3 A MONTH a developer posted his claude code bill on reddit after spending $170 in 10 days building a SaaS. someone replied with a photo of a mac mini and one sentence: "haven't paid anthropic since." developers using claude code, chatgpt pro, cursor and copilot are quietly spending $400-$500 every month on AI. that's over $5,000 a year before shipping a single product. the mac mini m4 starts at $599 and costs roughly $3 a month to run. it handles qwen, deepseek and mistral locally without API bills or rate limits. one developer moved most of his coding workflow to a local 14B model. another cut his monthly AI costs from $459 to around $23 while keeping one premium subscription. apple reportedly struggled to keep mac minis in stock because developers started buying them as AI servers. $599 once feels very different from $459 every month. the window is open, follow and bookmark before it closes.
starmex@starmexxx

x.com/i/article/2060…

English
10
4
34
2.3K
Antid
Antid@antisadh·
@insomnia_vip @cyfrin ai security engineer for finding vulnerabilities plus a live attack environment before launch is a serious combination
English
0
0
0
13
Insomnia
Insomnia@insomnia_vip·
Over $4B has been stolen from crypto projects over the years Most people immediately blame hackers But in many cases the real issue was vulnerable smart contracts Thats where @cyfrin comes in Cyfrin is one of the largest blockchain security companies today They audit smart contracts find vulnerabilities build security tools and help protect protocols securing more than $50B in value What I like is that they do much more than just audits They built: -> Updraft - free Web3 courses for anyone looking to learn -> Cygent - an AI security engineer for finding vulnerabilities -> BattleChain - a place where researchers can attack contracts before launch One bug can cost a protocol millions Finding it before launch is a lot cheaper
Insomnia@insomnia_vip

The best way to truly understand any topic is to study it in depth Especially when the course is completely free Thats exactly what @CyfrinUpdraft offers right now You can learn all the key concepts nuances and mechanics from the ground up Everything is presented in a clear and engaging format And if this topic isnt enough there are plenty of other courses available on the platform Its never been easier to start learning something new

English
49
2
96
2.1K
Antid
Antid@antisadh·
@gippp69 most people use one model for every step and wonder why costs explode
English
0
0
1
23
Gipp 🦅
Gipp 🦅@gippp69·
THIS GUY USED OPUS 4.8 + KIMI K2.6 TO CUT HIS CODING BILL FROM $4,000 TO $700/MO. WITH KIMI RUNNING A 300-AGENT CODING FLOOR, HE STOPPED PAYING CLAUDE TO DO EVERYTHING kimi does the cheap heavy lifting. it can spin up hundreds of agents, push through thousands of steps, write the rough code, expand files, draft tests and handle the repetitive work that burns the most tokens opus 4.8 only comes in where the money is worth spending. first to plan the spec and define the rules, then again to tear apart the output, catch weak logic and flag the bugs that a fast swarm can miss that is what changed the economics. kimi handled the bulk of the volume for a fraction of the price, while opus stayed in the loop as the architect and the reviewer instead of the full-time builder most people still use one model for every step and wonder why their costs explode. this guy split the jobs properly. kimi runs wide and cheap. opus goes deep and skeptical. one builds fast, the other makes sure it should ship the real edge is not finding one perfect model. it is knowing where expensive intelligence actually matters and where cheap parallel output is already enough. that is how a $4,000 workflow turns into a $700 system
shmidt@shmidtqq

x.com/i/article/2060…

English
46
13
165
14.8K
Antid
Antid@antisadh·
@leopardracer skipped the $3,000 bootcamp, opened claude code, went back to scrolling - office ran itself by end of day
English
0
0
0
20
leopardracer
leopardracer@leopardracer·
THIS IS WHAT A $150/HR AI FREELANCER’S SETUP LOOKS LIKE IN 2026 the developer skipped the $3,000 bootcamp and just opened claude code instead, gave michael the task and went back to scrolling, and by end of day dwight had handled research, jim had shipped the code, kevin processed the data and the whole office ran on its own while nobody touched the keyboard what used to need a senior dev team and three weeks of back and forth now fits in one prompt and a pixel art office on your local machine AI freelancers already earn 44% more per hour than everyone else and the gap keeps growing, the people winning aren’t the ones with certificates or cs degrees, they’re the ones who figured out how to run a team like this if you scrolled this far you already know this is worth a bookmark, drop a like so more people see it👇
NeilXbt@neil_xbt

x.com/i/article/2062…

English
40
11
111
9.4K
Antid
Antid@antisadh·
@slash1sol chainsaw's been on your desk this whole time, most people are still cutting with the edge of a butter knife
English
1
0
1
283
slash1s
slash1s@slash1sol·
A DEVELOPER PROVED THE TERMINAL ISN'T A SCARY BLACK BOX -- IT'S A CHAINSAW, AND MOST OF US ARE OUT HERE CUTTING WOOD WITH A BUTTER KNIFE 31 minutes from Gary Bernhardt -- the same mind behind the legendary "Wat" talk -- building real tools live on stage out of nothing but pipes and a handful of tiny commands. -> The moment it clicks, the black screen you avoid stops being scary. He chains four or five dumb little programs together and conjures, in seconds, the exact thing you'd normally open an editor and write a whole script for. grep, sort, uniq, xargs, a pipe between each. None of them do much alone. Bolted together they cut through work faster than any app you'd download for it. You've had a chainsaw idling on your desk this whole time and you've been sawing with the edge of a butter knife. Typing commands was never the skill -> composing them is. And when an AI agent dumps ten thousand lines of output in your lap, the person who can filter, reshape and pipe it into an answer in one line is the one who stays in control instead of drowning. You don't need another tool. You need to stop being scared of the one that's been on every machine you've ever owned. Save and watch it. The next time you reach for a script, you'll reach for one line instead ↓
slash1s@slash1sol

A DEVELOPER ONCE EXPLAINED A LANGUAGE FROM THE 1980s THAT ALREADY RAN MILLIONS OF TINY WORKERS IN PARALLEL UNDER ONE SUPERVISOR -- THE EXACT THING EVERYONE THINKS "300 AI AGENTS" JUST INVENTED Tim McNamara on what to steal from Erlang -- the language built for systems that can never go down, where thousands of independent processes run at once and a single supervisor watches every one of them. -> The moment it clicks, the whole "Swarm of agents" hype stops looking new. One coordinator that plans the work. A crowd of small workers that each do one thing and share nothing. A supervisor on top that kills and restarts whatever breaks. That's not a 2026 idea -- it's the actor model, and it's older than most engineers reading this. The trick was never raw parallelism. Anyone can spawn a thousand workers. It's the discipline around them: each one isolated, failures contained instead of cascading, and one layer with the authority to restart. "Let it crash" beats "Try to handle everything" because the supervisor already knows what to do. Running many things at once was never the skill -> orchestrating them so the whole thing doesn't collapse is. And now that people are pointing 300 AI agents at a single job and praying, the ones who win will be the teams who learned this pattern from a language that's been doing it for forty years. Everyone's racing to build the swarm. Almost no one is studying the one system that already solved how to keep a swarm from eating itself. Save it. It's the map for everything coming next ↓

English
22
29
335
29.4K
Antid
Antid@antisadh·
@beamnxw content job vs content business, the mac mini is what closes that gap
English
0
0
1
38
Antid
Antid@antisadh·
@RetroChainer 535k views in a week after weeks of nothing, then the channel wakes up
English
0
0
0
46
RetroChainer
RetroChainer@RetroChainer·
> first clips will flop. that's normal. > the algorithm just hasn't read you yet > Mac Mini. Claude Code. one evening. > 1 Short a day. weeks. no breaks. > one clip hits the channel wakes up > 535K views in a week > 4M a month × $4.14 = $16,567 > volume beats talent. discipline beats inspiration.
Vadim@VadimStrizheus

x.com/i/article/2062…

English
24
20
156
10.6K
Antid
Antid@antisadh·
@starmexxx exploring before mainnet is exactly how you find mispricing before the crowd arrives
English
1
0
1
21
starmex
starmex@starmexxx·
JENSEN HUANG PAID $200 FOR 20% OF NVIDIA AND BUILT THE HARDWARE THAT NOW KILLS $199/MONTH KIMI SUBSCRIPTIONS jensen told the stanford audience he had $200 in his pocket and walked out with 20% of the company. that company now ships the jetson orin nano super for $249 one time the box runs kimi k2.6 locally at 67 trillion ai operations per second. agent swarm with 300 parallel agents runs on hardware you own instead of a $199 monthly subscription kimi k2.6 is open weight under a modified mit license. 1 trillion parameters, 256k context window, the same model that powers the cloud sits on a wallet-sized box under your desk one prompt fires 300 parallel investigations. a market research report that used to take 2 weeks or $5,000 to a team now finishes in a few hours for the cost of electricity most people will keep paying $199 a month for what they could own outright. the ones who bought the box in 2026 will look very far ahead in 2028 bookmark this and read the article below
Sprytix@Sprytixl

x.com/i/article/2061…

English
9
0
16
626
Antid
Antid@antisadh·
ONE $249 NVIDIA BOX RUNS 300 PARALLEL AGENTS ON ONE PROMPT. WORK THAT COST $5,000 AND TOOK 2 WEEKS NOW TAKES HOURS FOR $2 IN ELECTRICITY the jetson orin nano super fits in your palm, pulls 25 watts, does 67 trillion AI operations per second and runs llama 3, mistral and deepseek locally with no API fees the killer feature is parallel agent execution, one prompt fires off up to 300 AI agents that research everything at once and return a finished report in hours market research that used to cost $5,000 and take 2 weeks from an outside team now costs cents in electricity, full reports with citations, 20,000 row datasets and dashboards as real files a founder used to spend 2 weeks or pay a research team $3,000 to $5,000 for a fitness app market report, the same prompt on this box delivers it before lunch uber gave 5,000 engineers claude code and burned through their entire $3.4 billion AI budget in 4 months on cloud spend that this box handles for $2 in electricity the window is open, follow and bookmark before it closes.
Sprytix@Sprytixl

x.com/i/article/2061…

English
8
3
32
4.9K