Brainkit📈

Google's Gemma 4 is pretty wild. You can now run it locally with OpenClaw in 3 steps. 1. Install Ollama 2. Pull Gemma 4 model 3. Launch OpenClaw with Gemma as the backend Private local AI agents in minutes. Hardware guide: > E2B → any modern phones > E4B → most laptops > 26B A4B → Mac Studio 48GB+ RAM > 31B → Mac Studio 64GB+ RAM

Claude Code can now make videos 🤯 There’s a free extension called Claude Code Video Talker that turns Claude into a full AI video agent. You can generate, script, and build videos directly inside Claude Code with one free install. Claude is no longer just for coding… now it can create content too. 🚀

Full Polymarket Bot Build | Claude Code Tutorial: 0:00 - Intro 0:53 - Setup 1:49 - Bullpen CLI 5:01 - Pull top traders 8:40 - Set rules 15:15 - Build a dashboard 17:38 - Claude hack 20:39 - Bot LIVE 23:00 - 2 extra commands 24:00 - 3 hour results: 13% profit 25:13 - Honest take

how to run claude code with gemma 4 completely free (beginner's guide): this guide shows you how to use claude code completely free with gemma 4, no subscriptions &no api keys. just your laptop + 15 mins setup. this lets you run open-source models (like google’s gemma) locally, meaning: — no costs — full privacy what you need before starting, make sure you have: vs code installed — node.js (version 18+) — stable internet (for one-time model download) _____________ step 1: install ollama (the engine) ollama is what runs ai models locally on your machine. → mac: go to ollama.com/download click download for mac, open the file and install like any normal app. no terminal needed. → windows: go to ollama.com/download, click download and install → linux: curl -fsSL ollama.com/install.sh | sh check it worked: ollama --version _____________ step 2: download gemma 4 this is the ai model you’ll run locally, pick based on your system: → low-end (8gb ram): ollama pull gemma4:e2b → recommended (16gb ram): ollama pull gemma4:e4b → high-end (32gb ram): ollama pull gemma4:26b ⚠️ it’s a big download (7gb–18gb), so give it time. after download is completed, verify with the command: ollama list _____________ step 3: install claude code in VS code or any other IDE this is your interface. — open vs code — press ctrl + shift + x — search claude code install the one by anthropic after install → you’ll see a ⚡ icon in sidebar _____________ step 4: connect claude code to ollama by default, claude connects to the cloud. we’re redirecting it to your local machine. so do this: — press ctrl + shift + p — search: open user settings (json) — then paste this inside: "claude-code.env": { "ANTHROPIC_BASE_URL": "http://localhost:11434", "ANTHROPIC_API_KEY": "", "ANTHROPIC_AUTH_TOKEN": "ollama" } what this does: — it routes everything to your local ollama server. — nothing leaves your device. _____________ step 5: run everything 1. start ollama with this command: ollama serve leave this running. 2. open claude code in vs code click ⚡ icon 3. select your model type: gemma4:e4b (or whichever you downloaded) you’re done _____________ you now have: — claude code running — powered by gemma 4 — fully local completely free try: “explain this file” “write a function” “refactor this code” _____________ common issues (quick fixes) “unable to connect” run: ollama serve asked to sign in your json config is wrong check for missing commas/brackets very slow responses your model is too big switch to: gemma4:e2b model not found run: ollama list copy exact name quick recap you just built: a free claude setup powered by local ai no api costs Follow for more AI contents like this!!!

OPENCLAW CAN NOW RUN COMPLETELY FREE WITH OLLAMA + GEMMA 4. No API bills, no limits, and full local privacy on your own machine.

Anthropic should be scared. 😨 103 people just shipped what their entire engineering team hasn't. And the most ironic part? OpenClaw runs on Claude. Anthropic powers the very tool that's outbuilding them. The same week they restricted OpenClaw users from accessing Claude and capped usage limits, the OpenClaw community dropped v2026.4.5 and it's not even close. Here's what they have shipped: → Your agent now has a sleep cycle: Most AI agents forget everything the moment you close the chat. OpenClaw's new memory system works like human sleep it runs in the background, processes what you talked about, and moves the important stuff into permanent memory. Next time you open it, it already knows you. Your projects. Your preferences. Your context. You never have to repeat yourself again. → Your agent can now create, not just answer: Until now your agent could think and respond. Now it can make things. Ask it to generate a video, drop a music track, or build a graphic right inside the conversation. No switching apps. No copy pasting between tools. Just ask and it ships. → Your API bill quietly got cheaper: Every time you send a follow-up message, OpenClaw now recognises what it already processed and skips re-reading it. Less work per message means lower cost per message. You didn't change anything. Your bill just went down. → Security got tightened everywhere: If something breaks, it now shuts down safely instead of leaving a door open. Browser vulnerabilities get caught earlier. App permissions are properly locked. The more your agent does on the internet, the more this matters. → All your messaging apps now actually work: Telegram, WhatsApp, Discord, Slack and 20 more channels. Voice notes, threaded replies, reconnect loops the features that were half-broken and quietly frustrating are now fully fixed. → OpenClaw is now global: Chinese, Japanese, Korean, Spanish, French, German, Portuguese and 5 more languages added. The product just became accessible to billions of people who couldn't use it properly before. Anthropic has billions in funding, hundreds of engineers, and the most powerful model in the world. OpenClaw has 103 contributors and a GitHub repo. And right now, OpenClaw is winning the product war. The people you restrict have a funny way of building around you.

Repo: github.com/capcom6/androi…

@marryevan999 Claude

I AM QUITTING MY JOB TO GO FULL IN CLAUDE Just asked him to: "Analyze misspriced Polymarket markets opportunities for arbitrage and find wallets that are using it to copy" Turned $2K into $12K in one night Monitored ~1k+ wallets I just realized that there are many arbitrage bots that I can't beat without code knowledge But I can find them and copy So Claude created a monitoring terminal and copytraded found wallets using TG copytrading bot It's not a script and not even the bot, it's an AI agent that is improving with each found wallet Fetching wallet behaviour, how it's trading, arbitrage, what's sized and timings 70% win rate, 7 wallets copytrading rn from ~500 monitored, bot never paused, never gambling, just math and profit Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me @marryevan999 (so i can DM you)

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USE THESE GITHUB REPOS TO UPGRADE YOUR POLYMARKET TRADING GAME * PMXT github.com/pmxt-dev/pmxt * POLYMARKET AGENTS github.com/Polymarket/age… * FAST MCP github.com/PrefectHQ/fast… * MCP github.com/caiovicentino/… * POLYREC github.com/txbabaxyz/poly…

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.

Dear Traders, Claude code can now connect directly to your TradingView charts It reads your charts, indicators, writes Pine Script for your trading strategies, compiles it and fixes errors.. all automatically Not a browser extension.. A direct connection to your live charting platform ▫️Here's how it works and how to set this up: > How it works: TradingView Desktop runs on Electron (Chromium). Chromium has a built in debug interface called Chrome DevTools Protocol. It's off by default. One flag turns it on. That's the door. Claude Code connects through it via an MCP server running locally on your machine. Nothing touches TradingView's servers. No data leaves your machine. Everything runs on localhost. Here's the setup, give Claude code this prompt and it does everything: "Install the TradingView MCP server. Clone and explore github.com/tradesdontlie/…, run npm install, add to my MCP config at ~/.claude/.mcp.json, and launch TradingView with the debug port." Once it's done, verify: "Use tv_health_check to confirm TradingView is connected." Then just try: "What's on my chart right now?" That's the whole setup. Claude installs it. Claude runs it. You just describe what you want. ▫️What Claude can actually see What Claude can read from your charts: > Current symbol and timeframe > Real-time OHLC and volume > Up to 500 price bars > All indicator names, IDs, and values > Pine Script drawings — lines, labels, tables, boxes > Data window values > Order book depth > Strategy tester results and trade list > Screenshots of any chart region The most useful part is it reads protected indicators too. Pass a filter with the indicator name and you get back every price level, every text annotation, full table contents, every drawn zone. "What levels is my NY Sessions indicator showing?" it reads them. "What does the session stats table say?" it reads that too.All of this data is already on your screen. This tool just makes it readable to an AI. ▫️ The Pine Script workflow This is the part that changes everything for traders who code: You describe what you want → Claude writes the Pine Script → injects it into TradingView → compiles it → reads the errors → fixes them → recompiles That loop runs until the script is clean. The whole time Claude has full context of your chart and every indicator on it. No more copy-pasting between VS Code and the Pine editor hunting type mismatches. You can also: → Validate indicators (write it, compile it, read values back, check the math) → Loop through input parameters and test each one → Run the same indicator across multiple symbols and timeframes → Read strategy tester metrics after each compile The actual workflow of verifying your indicators works instead of just assuming they do. sharing the usecases of this workflow in my next post.. like & RT

Anthropic tried to kill 8,100 GitHub repos. Then this happened > They filed a DMCA. GitHub nuked the entire network within hours. Developers got notices for forks of Anthropic's OWN public repo - one guy's fork had zero leaked code. > Boris Cherny, head of Claude Code, had to go on X personally: "This was not intentional. Should be better now." > Meanwhile Sigrid Jin - who used 25 billion Claude Code tokens last year - woke up at 4AM and rewrote the entire thing in Python before sunrise. DMCA can't touch a clean-room rewrite. > It hit 50K stars in 2 hours. Fastest repo in GitHub history. > Today claw-code officially launched as an independent project with a formal press release. And the Rust port merged today - what started as a panic rewrite now ships release 0.1.0. > 140K stars. 102K forks. More than Anthropic's own repo. > 512,000 lines are in the wild forever. What started as Anthropic's biggest embarrassment just became their most dangerous competitor. You cannot make this up.

The timeline of this leak is genuinely funny: → Anthropic ships a .map file to npm by accident → security researcher finds it at 4 AM → full 512K-line TypeScript source is on GitHub within hours → 32K stars, 44K forks before Anthropic can blink → a dev in Korea panics about getting sued, ports the entire thing to Python using OpenAI's Codex before sunrise → Anthropic's response: "this was a packaging issue caused by human error" → the repos are still up. 41K+ forks. it's everywhere. what people are actually doing with it: → extracting the system prompts and permission architecture to build their own agents → someone found Anthropic's internal model codenames — Capybara (Claude 4.6), Fennec (Opus 4.6), Numbat (still in testing) → developers are pulling the CLAUDE.md pattern (project-level agent instructions) into their own workflows → the ant-only verification instructions (gated behind USER_TYPE=ant) are being injected into custom CLAUDE.md files so regular users get the same quality checks Anthropic employees get The irony everyone keeps pointing out: the company selling the most advanced AI coding tool on the planet leaked its own source code because someone forgot to add *.map to their .npmignore but honestly the bigger story is this — a closed-source AI agent's entire architecture is now public. the permission system, the multi-agent orchestration, the context management, the prompt engineering. competitors like Cursor now have a literal blueprint. and AI is being used to rewrite the leaked code into other languages faster than lawyers can send take down notices.

IT WORKED!! Here's how you run Claude Code + Local LLM on your own machine in under 90 seconds

Computer use is now in Claude Code. Claude can open your apps, click through your UI, and test what it built, right from the CLI. Now in research preview on Pro and Max plans.

🚨 BREAKING: You can run Claude Code completely free now. No API bills. No rate limits. No data leaving your device. Just Claude Code running locally fast, private, and 100% yours. Here’s how to set up Claude Code on your own machine (free + fully private) For guide: Local AI Coding Setup: Free Claude-Like Agent (Ollama + VS Code) Like + Comment " Send" + Retweet Follow me @s_mohinii so that i can DM you

Claude FULL COURSE 1 HOUR (Build & Automate Anything)

This guy turned $400 into almost $2.4M in 4 months with Claude If you don't know how to build something that actually makes money you need to read this He gave details on everything.