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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...

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Miles Deutscher

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56,625 Aufrufe • vor 3 Monaten •via X (Twitter)

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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 Pine Script indicator for TradingView that loads the quant strategy in real time, complete installation instructions, a reusable Claude Skill & more. This is probably the most-valuable thing I've shared on 𝕏 in 2026. →
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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 Pine Script indicator for TradingView that loads the quant strategy in real time, complete installation instructions, a reusable Claude Skill & more. This is probably the most-valuable thing I've shared on 𝕏 in 2026. →

Miles Deutscher

88,351 Aufrufe • vor 3 Monaten

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.
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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 Aufrufe • vor 6 Monaten

You can now use Jev right inside Claude Code 🤯 It's called jev-model-router, an early access mod built on Claude Code's new function hooks. Before every turn, it checks in with Jev and asks: > how mechanical the task is > how much reasoning it needs > whether it's risky Then it routes: → it'll move up to a stronger model on weak evidence, and only drops to a cheaper one when it's confident the task is simple → every decision gets logged in your transcript → if the call fails, your request runs untouched Setup: 1. copy the install command: npx claude-code-templates@latest --mod productivity/jev-model-router 2. paste it inside Claude Code 3. run claude with CLAUDE_CODE_ENABLE_FUNCTION_HOOKS=1 set 4. accept the trust prompt on first launch Link: Also works with no api key, it just falls back to a built-in classifier with no confidence score. For real jev routing, add your typesafeApiKey or gatewayApiKey to ~/.claude/settings.json. Follow me for more AI workflows and tutorials.
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You can now use Jev right inside Claude Code 🤯 It's called jev-model-router, an early access mod built on Claude Code's new function hooks. Before every turn, it checks in with Jev and asks: > how mechanical the task is > how much reasoning it needs > whether it's risky Then it routes: → it'll move up to a stronger model on weak evidence, and only drops to a cheaper one when it's confident the task is simple → every decision gets logged in your transcript → if the call fails, your request runs untouched Setup: 1. copy the install command: npx claude-code-templates@latest --mod productivity/jev-model-router 2. paste it inside Claude Code 3. run claude with CLAUDE_CODE_ENABLE_FUNCTION_HOOKS=1 set 4. accept the trust prompt on first launch Link: Also works with no api key, it just falls back to a built-in classifier with no confidence score. For real jev routing, add your typesafeApiKey or gatewayApiKey to ~/.claude/settings.json. Follow me for more AI workflows and tutorials.

Alvaro Cintas

44,149 Aufrufe • vor 1 Monat

Give Opus 5.5 𝗮 𝗰𝗹𝗶𝗰𝗸𝗮𝗯𝗹𝗲 𝗺𝗼𝘁𝗶𝗼𝗻 𝗱𝗶𝗰𝘁𝗶𝗼𝗻𝗮𝗿𝘆: 𝟭𝟮𝟬 𝗺𝗼𝘃𝗶𝗻𝗴 𝘀𝗮𝗺𝗽𝗹𝗲𝘀, each labelled with its name and a ready-made prompt. Click the ones you like, and Claude Code builds them into your video or site. Five packs: motion graphics, camera moves and transitions, UI components, landing page and web effects, and photo looks and lighting. Four steps: 1. Paste the line at the end into Claude Code to install the skill 2. Tell it "Open the motion-prompt library" 3. Tick the samples you like in the gallery and press "Send to AI" 4. Back in Claude Code, say "Edit the opening of this video like this" It gets each sample's motion spec and reference code, and it works with Remotion, CSS or Canvas. Without the skill, press "Copy picks" and paste them in. Paste this into Claude Code and it installs itself 👇 "Read and install the motion-prompt skill in this environment. When it is installed, tell me how to use it in three lines."
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Give Opus 5.5 𝗮 𝗰𝗹𝗶𝗰𝗸𝗮𝗯𝗹𝗲 𝗺𝗼𝘁𝗶𝗼𝗻 𝗱𝗶𝗰𝘁𝗶𝗼𝗻𝗮𝗿𝘆: 𝟭𝟮𝟬 𝗺𝗼𝘃𝗶𝗻𝗴 𝘀𝗮𝗺𝗽𝗹𝗲𝘀, each labelled with its name and a ready-made prompt. Click the ones you like, and Claude Code builds them into your video or site. Five packs: motion graphics, camera moves and transitions, UI components, landing page and web effects, and photo looks and lighting. Four steps: 1. Paste the line at the end into Claude Code to install the skill 2. Tell it "Open the motion-prompt library" 3. Tick the samples you like in the gallery and press "Send to AI" 4. Back in Claude Code, say "Edit the opening of this video like this" It gets each sample's motion spec and reference code, and it works with Remotion, CSS or Canvas. Without the skill, press "Copy picks" and paste them in. Paste this into Claude Code and it installs itself 👇 "Read and install the motion-prompt skill in this environment. When it is installed, tell me how to use it in three lines."

Vox

61,201 Aufrufe • vor 7 Tagen

if you use claude code, this will save you real money. the problem: every time you make an edit, your ai rereads the whole codebase to figure out what changed. tens of thousands of tokens, every turn, for context it already had. this repo fixes it. it’s called code review graph, and it just maps your entire codebase: every file, every function, every connection laid out so you can see the actual shape of your project how to set up (2 min): 1. pip install code-review-graph 2. code-review-graph install - auto-configures Claude Code, Cursor, Codex, Gemini CLI + more 3. code-review-graph build change one function, and it traces exactly what that touches... every caller, every dependent file, every test. your ai only reads what's affected, not the whole repo. and the savings are wild. a task that used to burn ~100,000 tokens (about a dollar) now runs closer to a penny.
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if you use claude code, this will save you real money. the problem: every time you make an edit, your ai rereads the whole codebase to figure out what changed. tens of thousands of tokens, every turn, for context it already had. this repo fixes it. it’s called code review graph, and it just maps your entire codebase: every file, every function, every connection laid out so you can see the actual shape of your project how to set up (2 min): 1. pip install code-review-graph 2. code-review-graph install - auto-configures Claude Code, Cursor, Codex, Gemini CLI + more 3. code-review-graph build change one function, and it traces exactly what that touches... every caller, every dependent file, every test. your ai only reads what's affected, not the whole repo. and the savings are wild. a task that used to burn ~100,000 tokens (about a dollar) now runs closer to a penny.

Alvaro Cintas

75,596 Aufrufe • vor 2 Monaten

Claude Mobile starts the idea... Ghostty finishes it I basically use Claude Mobile as a notepad now. Whenever something comes to mind, I open the app, pick a repo, and ask Claude to start exploring. Then I just let it run while I go on with my day. Later I jump into Claude Desktop and I’m right back in the same session, with context, structure, and a clearer shape of the idea. I tweak a few things to set up the coding phase. Finally, one click to Ghostty (video), open a couple of worktrees, and start working on the PR. IMPORTANT: when you move to Ghostty, it must be the exact same repo you started on mobile, otherwise the --teleport command will fail
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Claude Mobile starts the idea... Ghostty finishes it I basically use Claude Mobile as a notepad now. Whenever something comes to mind, I open the app, pick a repo, and ask Claude to start exploring. Then I just let it run while I go on with my day. Later I jump into Claude Desktop and I’m right back in the same session, with context, structure, and a clearer shape of the idea. I tweak a few things to set up the coding phase. Finally, one click to Ghostty (video), open a couple of worktrees, and start working on the PR. IMPORTANT: when you move to Ghostty, it must be the exact same repo you started on mobile, otherwise the --teleport command will fail

Daniel San

67,891 Aufrufe • vor 8 Monaten

I still don't understand why everyone is not using this yet. Thanks to it, a year ago I increased my income to 17,000 dollars a month Andrey Karpathy, co-founder of OpenAI, published a simple idea that got 16 million views: stop using AI to write code, use it to build a second brain You point Claude Code to a folder, drop any source in there (an article, transcript, PDF) and Claude reads it, links it, and saves it into a living wiki of everything you know. It compounds like interest: the more you feed it, the smarter it gets Here is the gist: Install Obsidian, create a vault, open it in Claude Code Paste the file with Karpathy's wiki idea and tell Claude to build it Claude creates three folders: raw for sources, wiki for its pages, CLAUDE which runs everything Drop any source into raw and say "ingest this" Ask questions across everything, forever Five minutes to set up, and you never start with an empty chat again The full step-by-step guide is in the article. Save to bookmarks
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I still don't understand why everyone is not using this yet. Thanks to it, a year ago I increased my income to 17,000 dollars a month Andrey Karpathy, co-founder of OpenAI, published a simple idea that got 16 million views: stop using AI to write code, use it to build a second brain You point Claude Code to a folder, drop any source in there (an article, transcript, PDF) and Claude reads it, links it, and saves it into a living wiki of everything you know. It compounds like interest: the more you feed it, the smarter it gets Here is the gist: Install Obsidian, create a vault, open it in Claude Code Paste the file with Karpathy's wiki idea and tell Claude to build it Claude creates three folders: raw for sources, wiki for its pages, CLAUDE which runs everything Drop any source into raw and say "ingest this" Ask questions across everything, forever Five minutes to set up, and you never start with an empty chat again The full step-by-step guide is in the article. Save to bookmarks

Bober_smart

2,883,416 Aufrufe • vor 2 Monaten

I built an AI trading bot with Jev + Opus 5.5, and it's probably too powerful for public use, but f*ck it... It's a high-frequency algo trading framework that prints. Open the article, copy/paste it into Claude Code. You're welcome.
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I built an AI trading bot with Jev + Opus 5.5, and it's probably too powerful for public use, but f*ck it... It's a high-frequency algo trading framework that prints. Open the article, copy/paste it into Claude Code. You're welcome.

Miles Deutscher

199,310 Aufrufe • vor 25 Tagen

Claude Code can now go find the right skill itself, instead of you searching for one. it's called find-skills. a small package that plugs into Claude Code, and instead of you hunting for rest, you just describe the task and it searches the whole open skills ecosystem, finds the ones that fit, and installs them for you. > tell it what you're trying to do, in plain english > it scans the skills registry and maps your task to real skills > it pulls the right ones in and sets them up half the time you don't even know a skill exists for what you're doing. now you don't have to.
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Claude Code can now go find the right skill itself, instead of you searching for one. it's called find-skills. a small package that plugs into Claude Code, and instead of you hunting for rest, you just describe the task and it searches the whole open skills ecosystem, finds the ones that fit, and installs them for you. > tell it what you're trying to do, in plain english > it scans the skills registry and maps your task to real skills > it pulls the right ones in and sets them up half the time you don't even know a skill exists for what you're doing. now you don't have to.

Alvaro Cintas

38,829 Aufrufe • vor 2 Monaten

How to build a viral Web3 app in an afternoon using the ChainGPT AI skill for Claude Code. No coding experience required. I built Roast My Wallet. Paste any Ethereum wallet address, get a savage AI-generated roast of your trading history, a Degen Score out of 100, an on-chain report card, and three AI-generated NFT portraits. Here's exactly how it came together. Setup (3 minutes): 🔸Install Claude Code at 🔸Run /plugin install ChainGPT-org/chaingpt-claude-skill 🔸Get an API key at 🔸Type /chaingpt and describe what you want to build What the skill actually does: The ChainGPT skill doesn't just give you starter code. It knows the entire API. Every endpoint, every parameter, every credit cost, every error code. When I asked it to build the roast feature, it knew to call the LLM endpoint, how to stream the response back to the browser in real time, and how to handle errors automatically. I didn't look up a single thing. How it works under the hood: 1. Pulls real ETH balance and transaction count from the Ethereum blockchain 2. Feeds those numbers into ChainGPT's LLM and streams the roast back live 3. Calculates a Degen Score from your tx count vs balance ratio 4. Generates a report card with letter grades across Trading, Patience, Risk, Diamond Hands, and NGMI 5. Uses the roast text to generate three custom NFT portraits in parallel via VeloGen 6. Packages everything into a downloadable PNG card ready to post 7. Every feature came from describing what I wanted: 8. "Make the API key server-side." Done. 9. "Add an animated arc gauge for the degen score." Done. 10. "Generate NFT portraits using the roast text as context." Done. I never wrote a function or debugged an API response. I described outcomes. The ChainGPT skill handled the rest. If you can describe what you want to build, you can build it. Get your API key. Install the skill. /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build with ChainGPT AI!
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How to build a viral Web3 app in an afternoon using the ChainGPT AI skill for Claude Code. No coding experience required. I built Roast My Wallet. Paste any Ethereum wallet address, get a savage AI-generated roast of your trading history, a Degen Score out of 100, an on-chain report card, and three AI-generated NFT portraits. Here's exactly how it came together. Setup (3 minutes): 🔸Install Claude Code at 🔸Run /plugin install ChainGPT-org/chaingpt-claude-skill 🔸Get an API key at 🔸Type /chaingpt and describe what you want to build What the skill actually does: The ChainGPT skill doesn't just give you starter code. It knows the entire API. Every endpoint, every parameter, every credit cost, every error code. When I asked it to build the roast feature, it knew to call the LLM endpoint, how to stream the response back to the browser in real time, and how to handle errors automatically. I didn't look up a single thing. How it works under the hood: 1. Pulls real ETH balance and transaction count from the Ethereum blockchain 2. Feeds those numbers into ChainGPT's LLM and streams the roast back live 3. Calculates a Degen Score from your tx count vs balance ratio 4. Generates a report card with letter grades across Trading, Patience, Risk, Diamond Hands, and NGMI 5. Uses the roast text to generate three custom NFT portraits in parallel via VeloGen 6. Packages everything into a downloadable PNG card ready to post 7. Every feature came from describing what I wanted: 8. "Make the API key server-side." Done. 9. "Add an animated arc gauge for the degen score." Done. 10. "Generate NFT portraits using the roast text as context." Done. I never wrote a function or debugged an API response. I described outcomes. The ChainGPT skill handled the rest. If you can describe what you want to build, you can build it. Get your API key. Install the skill. /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build with ChainGPT AI!

ChainGPT

29,339 Aufrufe • vor 5 Monaten

save these two free services. they are what i built my Polymarket strategies on, the ones paying me around $10,000 a month. what it looks like day to day: you ask any question about the market in plain words, Claude Code digs through the data and comes back with numbers. you become a quant researcher. 1 - poly_data one command and every Polymarket trade sits on your own disk. who bought, when, at what price, what size, and who was standing on the other side of it. my first sync pulled 3.1 million markets. you can pull apart the edge of any trader on Polymarket you like. first sync runs a few hours, leave it overnight, after that updates land in seconds. 2 - pendulumflow archive this one holds the book itself: what orders were sitting there, at what prices, what size, second by second, on every single market. 288 billion events recorded, and 2.3 billion more coming in every day. i used to pay $200 a month for this kind of data. here you just open it and take it, nothing to sign up for. the front page has ready made questions you copy straight into Claude Code. the project runs on donations, storing and serving this much data costs real money every month. so if you start using it, send the guy something, he is carrying all of it alone. these two will give you what only a handful of people on this market have.
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save these two free services. they are what i built my Polymarket strategies on, the ones paying me around $10,000 a month. what it looks like day to day: you ask any question about the market in plain words, Claude Code digs through the data and comes back with numbers. you become a quant researcher. 1 - poly_data one command and every Polymarket trade sits on your own disk. who bought, when, at what price, what size, and who was standing on the other side of it. my first sync pulled 3.1 million markets. you can pull apart the edge of any trader on Polymarket you like. first sync runs a few hours, leave it overnight, after that updates land in seconds. 2 - pendulumflow archive this one holds the book itself: what orders were sitting there, at what prices, what size, second by second, on every single market. 288 billion events recorded, and 2.3 billion more coming in every day. i used to pay $200 a month for this kind of data. here you just open it and take it, nothing to sign up for. the front page has ready made questions you copy straight into Claude Code. the project runs on donations, storing and serving this much data costs real money every month. so if you start using it, send the guy something, he is carrying all of it alone. these two will give you what only a handful of people on this market have.

may.crypto {🦅}

26,438 Aufrufe • vor 1 Monat

I have a little robot that unlocks my door from the inside (so I don't have to carry a key) The problem was it wouldn't calibrate on my door. It was designed for 90° turns, but my lock only needs 15° In the past, this would've been a showstopper But I asked AI if it could help... At first, it suggested I snoop on the bluetooth connection to figure out the protocol Then it realized that we could probably just decompile the app's SDK and read its source code. That worked! It told me to switch to my mac and run some python for it. Unfortunately, it couldn't run the scripts directly because Claude Code Desktop didn't have bluetooth permissions, but my shell did. Thinking about it now, I probably should've used Claude Code or Codex in the Terminal. Anyways, it took a while, lots of backs and forths, we had some misunderstandings, it was massively overcautious in the beginning, but we finally got the lock calibrated! Feels like magic! I threw the repo up on github in case anyone in the future (ie me) runs into a similar issue – hopefully it can save them some time
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I have a little robot that unlocks my door from the inside (so I don't have to carry a key) The problem was it wouldn't calibrate on my door. It was designed for 90° turns, but my lock only needs 15° In the past, this would've been a showstopper But I asked AI if it could help... At first, it suggested I snoop on the bluetooth connection to figure out the protocol Then it realized that we could probably just decompile the app's SDK and read its source code. That worked! It told me to switch to my mac and run some python for it. Unfortunately, it couldn't run the scripts directly because Claude Code Desktop didn't have bluetooth permissions, but my shell did. Thinking about it now, I probably should've used Claude Code or Codex in the Terminal. Anyways, it took a while, lots of backs and forths, we had some misunderstandings, it was massively overcautious in the beginning, but we finally got the lock calibrated! Feels like magic! I threw the repo up on github in case anyone in the future (ie me) runs into a similar issue – hopefully it can save them some time

Steve Krouse

38,720 Aufrufe • vor 3 Monaten

Quant can now see and control your charts. Symbols, timeframes, chart types, layouts, sessions, visible ranges. Ask, and it changes them. It also sees what it built. Indicators and strategies from Quant, or any Pine Script® code, get fixed and improved visually, right on the chart. Live now.
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Quant can now see and control your charts. Symbols, timeframes, chart types, layouts, sessions, visible ranges. Ask, and it changes them. It also sees what it built. Indicators and strategies from Quant, or any Pine Script® code, get fixed and improved visually, right on the chart. Live now.

LuxAlgo

11,836 Aufrufe • vor 1 Monat

I OPEN-SOURCED MY CRYPTO TRADING BOT ON GITHUB. 100% FREE It's called Cabbage. A spot trading bot you can backtest, paper-trade and run live, one command each. Full step-by-step setup guide. It runs on two models: > Astra (GPT-6) built it. Smart but slow. It thinks, writes the code, explains every decision. > Jev runs it. Jev doesn't talk. One word and a probability, in milliseconds. BUY, HOLD or SELL. Under 0.80 it waits. Here's what's inside: 1. Signal engine RSI 14 + EMA 12/26 confluence. It only reads closed candles, so no fake signals from a candle that's still moving. 2. Hard risk rules Fixed ticket size and a percentage stop-loss on every entry. The bot can't size up because it "feels confident". 3. Backtest → HTML report Event-driven backtest that replays history candle by candle, like it's trading live. You get a full HTML report at the end. 4. Paper trading Real exchange data, local fills, zero money at risk. Run one iteration to test, then leave it running. 5. Live trading Real orders on any exchange CCXT supports. Your keys stay in your own .env file. 6. Doctor command Checks your config and exchange connection before you trade. No orders placed. State is saved in SQLite per market and pair, so a restart doesn't wipe your positions. Built on Investing Algorithm Framework 9. Apache-2.0, fork it and make it yours.
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I OPEN-SOURCED MY CRYPTO TRADING BOT ON GITHUB. 100% FREE It's called Cabbage. A spot trading bot you can backtest, paper-trade and run live, one command each. Full step-by-step setup guide. It runs on two models: > Astra (GPT-6) built it. Smart but slow. It thinks, writes the code, explains every decision. > Jev runs it. Jev doesn't talk. One word and a probability, in milliseconds. BUY, HOLD or SELL. Under 0.80 it waits. Here's what's inside: 1. Signal engine RSI 14 + EMA 12/26 confluence. It only reads closed candles, so no fake signals from a candle that's still moving. 2. Hard risk rules Fixed ticket size and a percentage stop-loss on every entry. The bot can't size up because it "feels confident". 3. Backtest → HTML report Event-driven backtest that replays history candle by candle, like it's trading live. You get a full HTML report at the end. 4. Paper trading Real exchange data, local fills, zero money at risk. Run one iteration to test, then leave it running. 5. Live trading Real orders on any exchange CCXT supports. Your keys stay in your own .env file. 6. Doctor command Checks your config and exchange connection before you trade. No orders placed. State is saved in SQLite per market and pair, so a restart doesn't wipe your positions. Built on Investing Algorithm Framework 9. Apache-2.0, fork it and make it yours.

sopersone

62,070 Aufrufe • vor 1 Monat

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
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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.

171,566 Aufrufe • vor 7 Monaten

This is f*cking insane, this GitHub repo + Opus 5.5 turns any Android phone into a hands-free agent An Android phone, reverse-engineered with Opus 5.5... 1 sentence out loud = the phone opens Telegram, finds the app and installs it by itself. No taps, no swipes, nobody touches the screen. here's the full guide step by step: step 1 → put the phone and a laptop on the same Wi-Fi step 2 → turn on wireless debugging on the phone: Settings → About phone → tap Build number 7 times → Developer options → Wireless debugging step 3 → paste the prompt below into Claude Code on Opus 5.5 with the GitHub repo and a screenshot of the phone's About screen step 4 → Opus reads the repo and finds the loophole: every Android phone takes orders over ADB on a home network. The same door developers use to test apps step 5 → it checks the phone first: model, Android version, installed apps, and saves a restore point so nothing breaks step 6 → it writes a tiny agent with exactly 3 tools: see the screen, tap, type. Nothing else step 7 → it plugs that agent into Claude Code as an MCP. Claude is the brain, the phone is the hands step 8 → press Allow on the phone once, the last tap ever needed. Then say "open Telegram and install ChatGPT" and watch it tap through by itself the result: you talk, the phone does it, hands stay in pockets... p.s: the repo works on 300+ Android models from 40 brands, no root needed Find GitHub repo + full prompt below Then read the full guide on reverse engineering with Opus 5.5 in the article.
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This is f*cking insane, this GitHub repo + Opus 5.5 turns any Android phone into a hands-free agent An Android phone, reverse-engineered with Opus 5.5... 1 sentence out loud = the phone opens Telegram, finds the app and installs it by itself. No taps, no swipes, nobody touches the screen. here's the full guide step by step: step 1 → put the phone and a laptop on the same Wi-Fi step 2 → turn on wireless debugging on the phone: Settings → About phone → tap Build number 7 times → Developer options → Wireless debugging step 3 → paste the prompt below into Claude Code on Opus 5.5 with the GitHub repo and a screenshot of the phone's About screen step 4 → Opus reads the repo and finds the loophole: every Android phone takes orders over ADB on a home network. The same door developers use to test apps step 5 → it checks the phone first: model, Android version, installed apps, and saves a restore point so nothing breaks step 6 → it writes a tiny agent with exactly 3 tools: see the screen, tap, type. Nothing else step 7 → it plugs that agent into Claude Code as an MCP. Claude is the brain, the phone is the hands step 8 → press Allow on the phone once, the last tap ever needed. Then say "open Telegram and install ChatGPT" and watch it tap through by itself the result: you talk, the phone does it, hands stay in pockets... p.s: the repo works on 300+ Android models from 40 brands, no root needed Find GitHub repo + full prompt below Then read the full guide on reverse engineering with Opus 5.5 in the article.

NO1ennn

20,003 Aufrufe • vor 15 Stunden

this is the most DANGEROUS repo in trading right now hedge funds pay millions for models that forecast price - someone trained one on 12 BILLION candles and put it on GitHub for 100% FREE it's called Kronos. Yu Shi and 6 co-authors built it, the paper got into AAAI 2026, and the repo has 41k stars first understand how it works: > ChatGPT turns words into tokens & predicts the next word > Kronos turns every candle into tokens & predicts the NEXT CANDLE > it was pre-trained on 12 BILLION candles from 45 exchanges > in the paper's benchmarks it beat the best rival model's forecasts by 93% here is how to run it yourself for FREE: 1. open Claude Code and ask it to clone and install everything 2. load Kronos-small from Hugging Face. 24.7M params, it runs on a normal laptop, no GPU 3. pull the last 512 candles from Binance's free public API. any coin, any timeframe, no account 4. ask it for the next 24 candles, exactly like an LLM finishing a sentence 5. sample 100 futures one by one, not one guess. the spread between them shows how risky the next move really is 6. read the regime: most paths pointing one way means TRENDING, paths scattered both ways means CHOPPY 7. backtest it walk-forward on past windows with real fees before you trust a single path 8. plot the forecast next to real candles and paper trade it first i won't say anything more:
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this is the most DANGEROUS repo in trading right now hedge funds pay millions for models that forecast price - someone trained one on 12 BILLION candles and put it on GitHub for 100% FREE it's called Kronos. Yu Shi and 6 co-authors built it, the paper got into AAAI 2026, and the repo has 41k stars first understand how it works: > ChatGPT turns words into tokens & predicts the next word > Kronos turns every candle into tokens & predicts the NEXT CANDLE > it was pre-trained on 12 BILLION candles from 45 exchanges > in the paper's benchmarks it beat the best rival model's forecasts by 93% here is how to run it yourself for FREE: 1. open Claude Code and ask it to clone and install everything 2. load Kronos-small from Hugging Face. 24.7M params, it runs on a normal laptop, no GPU 3. pull the last 512 candles from Binance's free public API. any coin, any timeframe, no account 4. ask it for the next 24 candles, exactly like an LLM finishing a sentence 5. sample 100 futures one by one, not one guess. the spread between them shows how risky the next move really is 6. read the regime: most paths pointing one way means TRENDING, paths scattered both ways means CHOPPY 7. backtest it walk-forward on past windows with real fees before you trust a single path 8. plot the forecast next to real candles and paper trade it first i won't say anything more:

Сarm1ne

66,968 Aufrufe • vor 5 Tagen

A lesson for every Polymarket bot developer: I built a strategy that looked perfect on paper. Backtested it. Looked like a winner. Almost went live. Then i actually measured real costs. Strategy was dead before the first trade. And this is what bot building on Polymarket actually looks like. Here is what happened (and what you MUST know): Backtested mean reversion on crypto dips. SOL came back at +44% return and 70.5% win rate. Beautiful clean curve. Looked ready to ship. Then i measured real round-trip costs on SOL flash dips. Backtest assumed 0.45% in fees and slippage. Reality was 1.44%. Strategy stops working at 0.70%. Starting again. But the lesson was worth more than any profit the strategy could have made. Here is what i actually learned: Taking a dip with a market order means you eat the spread the dip just created. The volatility making your signal is the same volatility destroying your fill. You see the opportunity. You enter. You already lost. But resting a limit order below market and letting the dip come to you? You collect the maker rebate instead. Same thesis. Completely opposite execution. One bleeds money, one prints it. That one realization changed how i think about bot strategy entirely. 180 strategies tested to get there. 179 dead. That is not failure. That is how you find the 5 that actually work. Building a bot on Polymarket is not about finding a magic strategy. It is about eliminating every wrong answer until only the right one is left.
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A lesson for every Polymarket bot developer: I built a strategy that looked perfect on paper. Backtested it. Looked like a winner. Almost went live. Then i actually measured real costs. Strategy was dead before the first trade. And this is what bot building on Polymarket actually looks like. Here is what happened (and what you MUST know): Backtested mean reversion on crypto dips. SOL came back at +44% return and 70.5% win rate. Beautiful clean curve. Looked ready to ship. Then i measured real round-trip costs on SOL flash dips. Backtest assumed 0.45% in fees and slippage. Reality was 1.44%. Strategy stops working at 0.70%. Starting again. But the lesson was worth more than any profit the strategy could have made. Here is what i actually learned: Taking a dip with a market order means you eat the spread the dip just created. The volatility making your signal is the same volatility destroying your fill. You see the opportunity. You enter. You already lost. But resting a limit order below market and letting the dip come to you? You collect the maker rebate instead. Same thesis. Completely opposite execution. One bleeds money, one prints it. That one realization changed how i think about bot strategy entirely. 180 strategies tested to get there. 179 dead. That is not failure. That is how you find the 5 that actually work. Building a bot on Polymarket is not about finding a magic strategy. It is about eliminating every wrong answer until only the right one is left.

Oracle Boar

14,379 Aufrufe • vor 6 Monaten

New feature in Claude Code 2.1.14 just dropped! You can now search and install plugins from the marketplaces installed in your current Claude Code session. This is huge if you’re building plugins on top of Claude Code’s marketplace layer (Skills, Agents, Hooks, etc). How it works: - Run /plugin - The official Claude marketplace is installed by default - Use the search bar to find the plugin you want - Select one or multiple plugins with space, then press i to install - Go to the Installed tab to browse and enable them With the exponential growth of Skills and Agent-based components running in the CLI, improving plugin discoverability is a big win. Pretty sure more marketplace-related features are coming
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New feature in Claude Code 2.1.14 just dropped! You can now search and install plugins from the marketplaces installed in your current Claude Code session. This is huge if you’re building plugins on top of Claude Code’s marketplace layer (Skills, Agents, Hooks, etc). How it works: - Run /plugin - The official Claude marketplace is installed by default - Use the search bar to find the plugin you want - Select one or multiple plugins with space, then press i to install - Go to the Installed tab to browse and enable them With the exponential growth of Skills and Agent-based components running in the CLI, improving plugin discoverability is a big win. Pretty sure more marketplace-related features are coming

Daniel San

41,049 Aufrufe • vor 9 Monaten

Claude Code just reverse-engineered my Wi-Fi router... found why it was so f*cking slow and fixed it in 5 minutes check yours, here's full guide step by step: step 1 → paste prompt below into Claude Code with photo of your router and tell it what's wrong. If you just want a diagnosis, it works too step 2 → it gives you one command to save your router password to your keychain, run it - the password never touches the chat step 3 → Claude shows each fix with the old and new value, you just say yes step 4 → the rest is on Claude: it backs up every setting, finds what's killing your speed (crowded channel, wrong band, narrow width, old WI-FI mode, lag) and re-tests after every fix the result: before and after speed in one line, and a router that takes orders from chat: "who's on my WI-FI", "reboot the router" and other... p.s: works with most routers, if yours is different, just tell Claude Code and it'll find another way in Try right now, don't forget me later. Then read article below shows how to reverse-engineer anything:
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Claude Code just reverse-engineered my Wi-Fi router... found why it was so f*cking slow and fixed it in 5 minutes check yours, here's full guide step by step: step 1 → paste prompt below into Claude Code with photo of your router and tell it what's wrong. If you just want a diagnosis, it works too step 2 → it gives you one command to save your router password to your keychain, run it - the password never touches the chat step 3 → Claude shows each fix with the old and new value, you just say yes step 4 → the rest is on Claude: it backs up every setting, finds what's killing your speed (crowded channel, wrong band, narrow width, old WI-FI mode, lag) and re-tests after every fix the result: before and after speed in one line, and a router that takes orders from chat: "who's on my WI-FI", "reboot the router" and other... p.s: works with most routers, if yours is different, just tell Claude Code and it'll find another way in Try right now, don't forget me later. Then read article below shows how to reverse-engineer anything:

codila

208,397 Aufrufe • vor 4 Tagen