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I used Claude Code to build and automate a legitimate quant trading strategy. The framework I built is based on the GARCH model, and it's one of the most-used trading models by real quant desks. The crazy thing is, I just completely open-sourced the GitHub repo. It contains: a... show more

Miles Deutscher

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87,456 görüntüleme • 14 gün önce •via X (Twitter)

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I built a custom TradingView indicator with Claude Code & Fable 5. It's called the Storm Gauge and is built off a real quant trading strategy. I open-sourced the full code on GitHub. Free to install, free to fork, yours to improve. Here's how to install a quant indicator on your TradingView chart: What it actually is The Storm Gauge is a live implementation of the GARCH model, a Nobel Prize-winning volatility framework that real quant desks run daily. It forecasts how "violent" tomorrow's market could be by combining three inputs: an asset's baseline volatility, yesterday's shock, and where volatility was already sitting before that shock happened. It doesn't predict market direction. Instead, it measures risk, in real time, on your actual chart. How to install it Method 1. Plugin command Open the GitHub repo: Find the installation section, copy the command, and paste it into Claude Code. It runs the plugin install automatically. Method 2. Manual config Open garchmethod.md in the repo, copy the entire file, and paste it into Claude Code. It fetches the skill files directly and verifies the strategy for you. (you only need one method; I'm just showing both) Getting it onto your TradingView chart Inside the repo, there's a Pine Script folder. Open it, copy the entire file. Go into TradingView's Pine Editor, paste it in, hit Enter, and refresh. That's it. The Storm Gauge now runs live on your chart as a real number. Once it's installed, just talk to it: → "What's the volatility forecast on Bitcoin?" → "Explain what the current volatility forecast means on $BTC and how it should impact my position sizing" → "Help me size my S&P500 position according to current market volatility" Does it actually work? I backtested the same EMA cross strategy two ways across 15 years of BTC data. Same entries, same exits. → Fixed position sizing: $17,957 final equity → Storm Gauge (GARCH) sizing: $21,205 final equity Fewer drawdowns, less risk, better result. Full breakdown of the entire build process in my recent article - pinned on my profile.

Miles Deutscher

56,026 görüntüleme • 13 gün önce

Claude can reverse engineer any trading bot on GitHub and explain exactly how the strategy works. Point it at any repo. It reads the code and rebuilds the logic from scratch. Every quant strategy on the internet just became readable.

Claude can reverse engineer any trading bot on GitHub and explain exactly how the strategy works. Point it at any repo. It reads the code and rebuilds the logic from scratch. Every quant strategy on the internet just became readable.

0xMarioNawfal

82,084 görüntüleme • 4 ay önce

GROK 4.20 TO TRANSFORM TRADING: THE ONLY AI THAT BEATS THE MARKET Six AIs entered the stock trading arena; one is set to change the whole game. * Grok 4.20 finished +21%, crushing every other model in the competition * Outperformed GPT-5.1, Claude 4.5, Gemini 3 Pro, all ending in the red * Used a “monk mode” strategy: low risk, high reasoning, zero hype * Doubled the average annual return of an S&P 500 index fund in just 14 days * The results mean Grok isn’t just reacting to markets; it's on track to move them * Elon: “Grok 4.20 is the best quant trader we’ve built yet, profits while others fail” This isn’t paper trading. It’s real money, real markets, real dominance. Source: xAI, CNBC

GROK 4.20 TO TRANSFORM TRADING: THE ONLY AI THAT BEATS THE MARKET Six AIs entered the stock trading arena; one is set to change the whole game. * Grok 4.20 finished +21%, crushing every other model in the competition * Outperformed GPT-5.1, Claude 4.5, Gemini 3 Pro, all ending in the red * Used a “monk mode” strategy: low risk, high reasoning, zero hype * Doubled the average annual return of an S&P 500 index fund in just 14 days * The results mean Grok isn’t just reacting to markets; it's on track to move them * Elon: “Grok 4.20 is the best quant trader we’ve built yet, profits while others fail” This isn’t paper trading. It’s real money, real markets, real dominance. Source: xAI, CNBC

Mario Nawfal

291,811 görüntüleme • 7 ay önce

I built a Claude Code notification system that uses Warcraft III Peon voice lines. It's probably the stupidest thing I've ever shipped. And according to everybody that has used it, it's also incredibly useful. (sound on)

I built a Claude Code notification system that uses Warcraft III Peon voice lines. It's probably the stupidest thing I've ever shipped. And according to everybody that has used it, it's also incredibly useful. (sound on)

tony 🦥

432,834 görüntüleme • 5 ay önce

The ChainGPT AI skill for Claude Code is one of the most complete Web3-AI dev environment on the market. Let me prove it. Open Claude Code with the installed skill, and you have direct access to: • Built-in wallets across 33+ chains • DEX trading, perps, and Hyperliquid execution • Smart contract generation and auditing • NFT generation across 22 chains • Real-time crypto news API • Fine-tuned crypto LLM with live on-chain data Every part of the Web3 stack, one prompt away. Here's what that looks like in practice. I built a real-time on-chain whale tracker in a single afternoon. It's called Whale Watch. → Pulls live swap data from Ethereum DEX pools → Filters every trade over $100K → Runs each whale through the ChainGPT LLM for a trader-grade live analysis → Routes the user into 1inch with the token pair pre-loaded if they want to follow the trade Real data. Real AI. Real action layer. The skill wrote the server. It hit the right APIs. It generated the UI. It debugged itself when something broke. The only thing I supplied was the idea and the polish. Open Claude Code. Ship something with ChainGPT AI this weekend! /plugin install ChainGPT-org/chaingpt-claude-skill

The ChainGPT AI skill for Claude Code is one of the most complete Web3-AI dev environment on the market. Let me prove it. Open Claude Code with the installed skill, and you have direct access to: • Built-in wallets across 33+ chains • DEX trading, perps, and Hyperliquid execution • Smart contract generation and auditing • NFT generation across 22 chains • Real-time crypto news API • Fine-tuned crypto LLM with live on-chain data Every part of the Web3 stack, one prompt away. Here's what that looks like in practice. I built a real-time on-chain whale tracker in a single afternoon. It's called Whale Watch. → Pulls live swap data from Ethereum DEX pools → Filters every trade over $100K → Runs each whale through the ChainGPT LLM for a trader-grade live analysis → Routes the user into 1inch with the token pair pre-loaded if they want to follow the trade Real data. Real AI. Real action layer. The skill wrote the server. It hit the right APIs. It generated the UI. It debugged itself when something broke. The only thing I supplied was the idea and the polish. Open Claude Code. Ship something with ChainGPT AI this weekend! /plugin install ChainGPT-org/chaingpt-claude-skill

ChainGPT

25,853 görüntüleme • 2 ay önce

watch anon. a 27b model thinking out loud on gtx 1660 super, i asked bonsai what model it is and it reasoned through the whole answer before it spoke. 20 tokens a second, gpu pinned at 125 watts, 4.25 of 6 gigs used. bonsai is a 1bit quant of qwen 3.6 27b, the king of the 3090 crushed to 3.5gb. turns out the hardware was in your drawer the whole time. you just needed the quant to catch up.

watch anon. a 27b model thinking out loud on gtx 1660 super, i asked bonsai what model it is and it reasoned through the whole answer before it spoke. 20 tokens a second, gpu pinned at 125 watts, 4.25 of 6 gigs used. bonsai is a 1bit quant of qwen 3.6 27b, the king of the 3090 crushed to 3.5gb. turns out the hardware was in your drawer the whole time. you just needed the quant to catch up.

Sudo su

26,133 görüntüleme • 17 gün önce

This is the one GitHub repo that everyone needs to save. The CEO of Obsidian literally open-sourced his entire Claude Skills vault. It's his personal Obsidian vault template, and it's built to 10x your AI productivity. To get started: 1. Download the vault in the GitHub link below 2. Unzip the .zip file (Claude can help here) 3. Open Obsidian & create a new vault pointing to that folder →

This is the one GitHub repo that everyone needs to save. The CEO of Obsidian literally open-sourced his entire Claude Skills vault. It's his personal Obsidian vault template, and it's built to 10x your AI productivity. To get started: 1. Download the vault in the GitHub link below 2. Unzip the .zip file (Claude can help here) 3. Open Obsidian & create a new vault pointing to that folder →

Miles Deutscher

128,344 görüntüleme • 16 gün önce

THAT PRETTY 3D QUANT CHART IS JUST A WEIGHTED SUM OF SIGNALS. THEY'VE GATEKEPT IT FOR 40 YEARS That gorgeous formula on screen is doing one simple thing. It scores every stock in a universe on a blend of signals, then goes long the strongest and short the weakest. That is the entire quant game, hiding inside one Sigma. The signals even have names. Free cash flow yield and earnings yield for value, QMJ profitability and Piotroski F-score for quality, plus momentum, mean reversion and volatility. Minara ships 500+ of these factors and lets you blend them into that exact composite by typing one sentence. The PhD math is real. The wall in front of it is gone. I ran this exact cross-sectional composite on 30 stocks & posted every metric in the article. Check it ↓

THAT PRETTY 3D QUANT CHART IS JUST A WEIGHTED SUM OF SIGNALS. THEY'VE GATEKEPT IT FOR 40 YEARS That gorgeous formula on screen is doing one simple thing. It scores every stock in a universe on a blend of signals, then goes long the strongest and short the weakest. That is the entire quant game, hiding inside one Sigma. The signals even have names. Free cash flow yield and earnings yield for value, QMJ profitability and Piotroski F-score for quality, plus momentum, mean reversion and volatility. Minara ships 500+ of these factors and lets you blend them into that exact composite by typing one sentence. The PhD math is real. The wall in front of it is gone. I ran this exact cross-sectional composite on 30 stocks & posted every metric in the article. Check it ↓

sopersone

33,835 görüntüleme • 24 gün önce

A QUANT SPENT YEARS AND A PHD BUILDING A STRATEGY THAT LOSES MORE THAN HALF ITS TRADES AND STILL PRINTS The secret is one line. w(t) = Rmax/(J·σ_risk) · (Σ sⱼ) · [1 + η·Σ 𝟙(c ≥ nₖ)] It sizes every bet by current risk, and that last bracket presses harder every time the signal confirms. In plain words. Keep the losers tiny, and pyramid hard into the winners. So it wins under half the time and still beats the market, because one winner erases ten small losses. That positive skew is the edge quants chase for years. Minara lets you build that exact behavior by describing it. 500+ factors, risk-scaled sizing, real backtests. The PhD math is real, the wall is gone. I took one plain sentence to a live, backtested strategy & posted every number in the article. Check it ↓

A QUANT SPENT YEARS AND A PHD BUILDING A STRATEGY THAT LOSES MORE THAN HALF ITS TRADES AND STILL PRINTS The secret is one line. w(t) = Rmax/(J·σ_risk) · (Σ sⱼ) · [1 + η·Σ 𝟙(c ≥ nₖ)] It sizes every bet by current risk, and that last bracket presses harder every time the signal confirms. In plain words. Keep the losers tiny, and pyramid hard into the winners. So it wins under half the time and still beats the market, because one winner erases ten small losses. That positive skew is the edge quants chase for years. Minara lets you build that exact behavior by describing it. 500+ factors, risk-scaled sizing, real backtests. The PhD math is real, the wall is gone. I took one plain sentence to a live, backtested strategy & posted every number in the article. Check it ↓

slash1s

53,094 görüntüleme • 18 gün önce

My Claude bot finished first night profit $2,314 I built the script in 4 hours and it was worth it Average winrate 70% This is not clickbait it is a story about a 5 minute BTC script My strategy + Claude = all you need Wallet: Copytrade: Here is the full strategy: 5 Minute BTC and ETH Micro Arbitrage The system trades short 5 minute Bitcoin and Ethereum contracts In fast markets temporary mispricings appear when YES + NO drops below one dollar The bot scans in real time and captures the spread the moment it appears Speed over emotion When volatility spikes and manual traders hesitate the system reacts automatically Orders execute instantly without delay hesitation or emotional bias By the time most traders understand what happened the opportunity window is already gone Automation compounds the edge Instead of chasing large wins the strategy captures small spreads repeatedly High frequency execution allows the bot to run continuously stacking micro advantages into meaningful returns over time All that is left is refining the code deploying at scale and letting it run

My Claude bot finished first night profit $2,314 I built the script in 4 hours and it was worth it Average winrate 70% This is not clickbait it is a story about a 5 minute BTC script My strategy + Claude = all you need Wallet: Copytrade: Here is the full strategy: 5 Minute BTC and ETH Micro Arbitrage The system trades short 5 minute Bitcoin and Ethereum contracts In fast markets temporary mispricings appear when YES + NO drops below one dollar The bot scans in real time and captures the spread the moment it appears Speed over emotion When volatility spikes and manual traders hesitate the system reacts automatically Orders execute instantly without delay hesitation or emotional bias By the time most traders understand what happened the opportunity window is already gone Automation compounds the edge Instead of chasing large wins the strategy captures small spreads repeatedly High frequency execution allows the bot to run continuously stacking micro advantages into meaningful returns over time All that is left is refining the code deploying at scale and letting it run

winkle.

171,316 görüntüleme • 4 ay önce

THIS GUY BOUGHT A $31 TOY DRONE AND TURNED CLAUDE OPUS 4.8 INTO ITS ENGINEER he plugged it into a laptop, explained the control logic in plain english and let Claude build the flight interface by the end of the session it had calibration, live controls and a browser cockpit moving the drone in real time most people will use Opus 4.8 to save 12 minutes on emails. he used it to turn cheap plastic into a working demo the crazy part isn’t the drone. it’s that the bottleneck moved from writing code to describing exactly what you want built while everyone debates benchmarks, someone with a $31 gadget and one afternoon is already shipping hardware demos

THIS GUY BOUGHT A $31 TOY DRONE AND TURNED CLAUDE OPUS 4.8 INTO ITS ENGINEER he plugged it into a laptop, explained the control logic in plain english and let Claude build the flight interface by the end of the session it had calibration, live controls and a browser cockpit moving the drone in real time most people will use Opus 4.8 to save 12 minutes on emails. he used it to turn cheap plastic into a working demo the crazy part isn’t the drone. it’s that the bottleneck moved from writing code to describing exactly what you want built while everyone debates benchmarks, someone with a $31 gadget and one afternoon is already shipping hardware demos

Gipp 🦅

735,627 görüntüleme • 2 ay önce

This feature is what I am proud of the most! I have built an algorithm that searches images based on a color and the algorithm will sort images based on how close the color is to the color selected and how dominant that color is in the image.

This feature is what I am proud of the most! I have built an algorithm that searches images based on a color and the algorithm will sort images based on how close the color is to the color selected and how dominant that color is in the image.

Film Stills - SceneStill.com

13,666 görüntüleme • 6 ay önce

The thing no one noticed: There’s a pricing lag between betting on Bitcoin and trading Bitcoin perps. That gap usually disappears once market makers close it. Until then, you can watch both markets side by side, see the dislocation in real time, and trade it. This is exactly the kind of edge most traders never even look for.

The thing no one noticed: There’s a pricing lag between betting on Bitcoin and trading Bitcoin perps. That gap usually disappears once market makers close it. Until then, you can watch both markets side by side, see the dislocation in real time, and trade it. This is exactly the kind of edge most traders never even look for.

Alex Mason 👁△

43,926 görüntüleme • 20 gün önce

This content probably won't last long I had Claude scan GitHub continuously for 24 hours, specifically hunting for those bots that actually deliver on-chain results on Polymarket In the end, I only found one wallet $143,379 in profit 43,788 trades No audience No noise I reverse-engineered it overnight Threw in $90 first Slept a night, woke up to +130% Then I tested it again This time just used $20 for copy trading Didn't touch a thing Woke up the next day, it had turned into $127 That's when I realized—this wasn't luck Every single trade of it was executing by the rules: Only trades in specific time windows Positions controlled with Kelly criterion Losses don't mean failure—they're part of the model upgrade Over 43K trades, almost no deviations GitHub shows just 14 stars But it's already pulled $143K out of the market While most people are still serving as exit liquidity for others, this thing is steadily harvesting them. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

This content probably won't last long I had Claude scan GitHub continuously for 24 hours, specifically hunting for those bots that actually deliver on-chain results on Polymarket In the end, I only found one wallet $143,379 in profit 43,788 trades No audience No noise I reverse-engineered it overnight Threw in $90 first Slept a night, woke up to +130% Then I tested it again This time just used $20 for copy trading Didn't touch a thing Woke up the next day, it had turned into $127 That's when I realized—this wasn't luck Every single trade of it was executing by the rules: Only trades in specific time windows Positions controlled with Kelly criterion Losses don't mean failure—they're part of the model upgrade Over 43K trades, almost no deviations GitHub shows just 14 stars But it's already pulled $143K out of the market While most people are still serving as exit liquidity for others, this thing is steadily harvesting them. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

Marry Evan

11,176 görüntüleme • 3 ay önce

Today's real crypto news killed me in a video game 💀 This is Crypto Crash. I built it this afternoon with the ChainGPT AI skill for Claude Code. It's a Chrome dino-style runner, but every system in it is plugged into a live source. The ground you run on is BTC's actual 24-hour price chart. Hills are the pumps. Valleys are the dumps. When the market is bearish, you literally run downhill toward the FUD. The sky and the world's color palette flip based on the market's emotional state, scored 0 to 100 by the ChainGPT LLM reading today's headlines. Anxious days look like an orange storm. Euphoric days look like a parade. The obstacles are goblins, ghouls, wolves and a flying bird. Each one carries a real bearish headline pulled live from the ChainGPT News API. When one hits you, the game-over screen tells you exactly which piece of FUD ended your run. Three ChainGPT capabilities, woven into a single experience: the LLM, the News API, and live price data. The skill stitched them together in a single afternoon. I just had the idea. Here's what's interesting beyond the game itself. Web3 products have always had access to live data. What's new is that AI can now turn that data into experiences, environments and feedback loops on demand, with one prompt. ✅ A trading dashboard that gets more aggressive when fear spikes. ✅ An NFT marketplace whose homepage matches today's mood. ✅A token site that visibly reacts when its chain is under attack. ✅A streamer overlay that changes with every breaking headline. The plumbing is done. The hard part now is deciding what you build on top of it. Open Claude Code. The skill is one install away. /plugin install ChainGPT-org/chaingpt-claude-skill

Today's real crypto news killed me in a video game 💀 This is Crypto Crash. I built it this afternoon with the ChainGPT AI skill for Claude Code. It's a Chrome dino-style runner, but every system in it is plugged into a live source. The ground you run on is BTC's actual 24-hour price chart. Hills are the pumps. Valleys are the dumps. When the market is bearish, you literally run downhill toward the FUD. The sky and the world's color palette flip based on the market's emotional state, scored 0 to 100 by the ChainGPT LLM reading today's headlines. Anxious days look like an orange storm. Euphoric days look like a parade. The obstacles are goblins, ghouls, wolves and a flying bird. Each one carries a real bearish headline pulled live from the ChainGPT News API. When one hits you, the game-over screen tells you exactly which piece of FUD ended your run. Three ChainGPT capabilities, woven into a single experience: the LLM, the News API, and live price data. The skill stitched them together in a single afternoon. I just had the idea. Here's what's interesting beyond the game itself. Web3 products have always had access to live data. What's new is that AI can now turn that data into experiences, environments and feedback loops on demand, with one prompt. ✅ A trading dashboard that gets more aggressive when fear spikes. ✅ An NFT marketplace whose homepage matches today's mood. ✅A token site that visibly reacts when its chain is under attack. ✅A streamer overlay that changes with every breaking headline. The plumbing is done. The hard part now is deciding what you build on top of it. Open Claude Code. The skill is one install away. /plugin install ChainGPT-org/chaingpt-claude-skill

ChainGPT

25,510 görüntüleme • 2 ay önce

🚨 He simply typed to Claude: "Build me a bot that prints money on Bitcoin every 5 minutes". This guy pulled $16,000+ in pure profit in a couple of hours just by using claude code. If you thought making money in crypto was hard, look at this screenshot. Meet the anon going by 0x5fCe. He joined polymarket literally days ago and his stats are absolutely mind blowing: > Predictions: 27 > Biggest Win: $8,727 > All Time Profit: $16,073 But the craziest part is HOW he’s trading. Look at the bottom of the screenshot. He’s betting on: "Bitcoin Up or Down in the next 5 minutes." A human physically cannot analyze order books and charts with that kind of speed and phenomenal accuracy. How did he do it? I dug a little deeper, and this is pure alpha 🧠 This guy isn't some genius Wall Street quant. He simply took the new Claude Code, fed it the Polymarket API documentation, and asked it to write a high frequency trading bot to analyze BTC micro impulses. It took exactly one evening to build the bot. He ran the script, went to sleep, and woke up to a bot that literally printed him a car. Almost 9 grand in profit in just 5 minutes. This isn't trading; it's a legal money printer. He locked in his profits and is likely tweaking his Claude prompts right now to deploy the bot with bigger volume. As soon as numbers pop up there, a new bloodbath will start. If you want to watch AI extract money from the market live, or just try to copytrade his bets, you need to monitor this wallet 24/7.

🚨 He simply typed to Claude: "Build me a bot that prints money on Bitcoin every 5 minutes". This guy pulled $16,000+ in pure profit in a couple of hours just by using claude code. If you thought making money in crypto was hard, look at this screenshot. Meet the anon going by 0x5fCe. He joined polymarket literally days ago and his stats are absolutely mind blowing: > Predictions: 27 > Biggest Win: $8,727 > All Time Profit: $16,073 But the craziest part is HOW he’s trading. Look at the bottom of the screenshot. He’s betting on: "Bitcoin Up or Down in the next 5 minutes." A human physically cannot analyze order books and charts with that kind of speed and phenomenal accuracy. How did he do it? I dug a little deeper, and this is pure alpha 🧠 This guy isn't some genius Wall Street quant. He simply took the new Claude Code, fed it the Polymarket API documentation, and asked it to write a high frequency trading bot to analyze BTC micro impulses. It took exactly one evening to build the bot. He ran the script, went to sleep, and woke up to a bot that literally printed him a car. Almost 9 grand in profit in just 5 minutes. This isn't trading; it's a legal money printer. He locked in his profits and is likely tweaking his Claude prompts right now to deploy the bot with bigger volume. As soon as numbers pop up there, a new bloodbath will start. If you want to watch AI extract money from the market live, or just try to copytrade his bets, you need to monitor this wallet 24/7.

shmidt

150,117 görüntüleme • 4 ay önce

GM You know what is the saddest part of being a trader Missing your own life Your friends call You say you have to monitor your trades Your family plans something You say the market is open A night out turns into you staring at five monitors saying come on come on And the worst part You are not even guaranteed to win You are just guaranteed to miss everything else That is the trap most traders are stuck in And Quant AI just made the whole thing pointless One line changed everything Quant copy his trades That is it While the trader is glued to his screen His friend copied every single one of his moves in seconds Without charts Without stress Without missing a single moment of life Copy trading on Quant means you find someone who already knows what they are doing and let them do it for you You do not need to understand every candle You do not need to watch every movement You do not need to sacrifice your life for the market Let Quant handle the market You handle your life #QuantAIPioneers NFA DYOR Not financial advice

GM You know what is the saddest part of being a trader Missing your own life Your friends call You say you have to monitor your trades Your family plans something You say the market is open A night out turns into you staring at five monitors saying come on come on And the worst part You are not even guaranteed to win You are just guaranteed to miss everything else That is the trap most traders are stuck in And Quant AI just made the whole thing pointless One line changed everything Quant copy his trades That is it While the trader is glued to his screen His friend copied every single one of his moves in seconds Without charts Without stress Without missing a single moment of life Copy trading on Quant means you find someone who already knows what they are doing and let them do it for you You do not need to understand every candle You do not need to watch every movement You do not need to sacrifice your life for the market Let Quant handle the market You handle your life #QuantAIPioneers NFA DYOR Not financial advice

Real Nadiya

40,766 görüntüleme • 1 ay önce

Claude Code's new dynamic workflow is the real deal. 🤖 Why it matters: It's not just a chain of prompts — it's an autonomous agent swarm. 1. Set model to Opus 4.8 + reasoning effort /ultracode 2. Claude detects complexity, writes orchestration script on the fly 3. Spawns a parallel fleet of coordinated subagents Operator takeaway: This is the first time I've seen an agent actually decompose and delegate autonomously without a rigid framework. Have you tried it yet? 🚀

Claude Code's new dynamic workflow is the real deal. 🤖 Why it matters: It's not just a chain of prompts — it's an autonomous agent swarm. 1. Set model to Opus 4.8 + reasoning effort /ultracode 2. Claude detects complexity, writes orchestration script on the fly 3. Spawns a parallel fleet of coordinated subagents Operator takeaway: This is the first time I've seen an agent actually decompose and delegate autonomously without a rigid framework. Have you tried it yet? 🚀

EK

197,752 görüntüleme • 2 ay önce

A 20-year-old student from China, Li Hao, built an AI speed radar with Claude alone and sold it to a city district for $317,000 He wrote the whole thing in 9 days, spending about $20 on Claude API calls He set an old camera on his balcony, pointed it at the intersection below, and let Claude watch the road Claude tags every car, motorbike and pedestrian in real time, 653 in five minutes, and flags anyone over the limit The moment a car speeds, Claude clips the video, reads the license plate, matches the owner, and emails the fine on its own A normal radar takes one photo and misses half the time. Claude records full video, so there is nothing to dispute, and the fines go out with no operator He walked into the district office with a flash drive and asked for 10 minutes. he left with a contract Every Claude config he used is in the article

A 20-year-old student from China, Li Hao, built an AI speed radar with Claude alone and sold it to a city district for $317,000 He wrote the whole thing in 9 days, spending about $20 on Claude API calls He set an old camera on his balcony, pointed it at the intersection below, and let Claude watch the road Claude tags every car, motorbike and pedestrian in real time, 653 in five minutes, and flags anyone over the limit The moment a car speeds, Claude clips the video, reads the license plate, matches the owner, and emails the fine on its own A normal radar takes one photo and misses half the time. Claude records full video, so there is nothing to dispute, and the fines go out with no operator He walked into the district office with a flash drive and asked for 10 minutes. he left with a contract Every Claude config he used is in the article

Fokki

332,227 görüntüleme • 1 ay önce

Claude Code Desktop now opens a new window for each session This makes it much easier to visualize multiple Claude Code agents running in parallel My current stack depends on the task: - Ghostty: when starting a project. Bash commands, git, env variables, provider connections. All manual through the terminal with a Claude panel running alongside. - Claude Code Desktop: once everything is configured. GitHub connected, CLAUDE.md, Skills, subagents and Hooks ready. Claude Code runs on its own, no more terminal setup, just panels running and outputs to review. - VSCode: when I need to review code by hand. I use it less and less, but there are moments where I have to confirm Claude got it right. I usually open the Claude extension inside VSCode, but it lacks most of the CLI features so it's limited Solid update. Worth trying once your workflows are already set up 👇

Claude Code Desktop now opens a new window for each session This makes it much easier to visualize multiple Claude Code agents running in parallel My current stack depends on the task: - Ghostty: when starting a project. Bash commands, git, env variables, provider connections. All manual through the terminal with a Claude panel running alongside. - Claude Code Desktop: once everything is configured. GitHub connected, CLAUDE.md, Skills, subagents and Hooks ready. Claude Code runs on its own, no more terminal setup, just panels running and outputs to review. - VSCode: when I need to review code by hand. I use it less and less, but there are moments where I have to confirm Claude got it right. I usually open the Claude extension inside VSCode, but it lacks most of the CLI features so it's limited Solid update. Worth trying once your workflows are already set up 👇

Daniel San

38,726 görüntüleme • 2 ay önce