0xtoey

寝てる間も稼ぎ続けるGitHubリポジトリ10選： 1. AutoHedge AIエージェントが市場分析からトレード実行まで全自動。数分で自分専用の自律型ヘッジファンドが作れる。 github.com/The-Swarm-Corp… 2. Vibe-Trading 自然言語で取引戦略を指示できる個人用AIトレーディングエージェント。29の専門チームが分析から実行まで動く。 github.com/HKUDS/Vibe-Tra… 3. Claude Ads Google・Meta・YouTube・TikTokなど7媒体の広告を250以上の観点でAI監査。広告費のムダを最大35%削減できる。 github.com/AgriciDaniel/c… 4. Toprank Search ConsoleとGoogle Adsに直接アクセスし、トラフィック低下の原因を診断して修正案まで出してくれるSEOツール。 github.com/nowork-studio/… 5. Fincept Terminal Bloombergのオープンソース代替。37のAIエージェントが市場分析・投資調査を無料で担ってくれる。 github.com/Fincept-Corpor… 6. Agentic Inbox Cloudflare Workers上で動く自己ホスト型AIメールエージェント。受信→分類→下書き作成まで自動。送信前に確認できる。 github.com/cloudflare/age… 7. ClawRouter 41以上のLLMモデルを1ms以下でルーティング。AIのAPI費用を最大92%削減できる。 github.com/BlockRunAI/Cla… 8. Camofox Browser AIエージェント向けのアンチ検出ブラウザ。Webスクレイピングや自動化でブロックされなくなる。 github.com/redf0x1/camofo… 9. Open Higgsfield AI Higgsfield・Krea・Freepik AIなど複数サービスの無料オープンソース代替。200以上のモデルでフィルターなしの画像・動画生成が使える。 github.com/Anil-matcha/Op… 10. Hyperframes HTMLを書くだけで動画をレンダリングできるフレームワーク。エージェントとの連携に最適。 github.com/heygen-com/hyp… 保存して後で使いこなして。

9 GitHub repo for trading on Prediction Markets: 1. Analysis: github.com/Jon-Becker/pre… data analysis for Polymarket and Kalshi 2. Polymarket Agents: github.com/Polymarket/age… framework for building AI agents with API integrations and RAG support 3. CLI: github.com/Polymarket/pol… browsing markets placing orders managing your wallet 4. pmxt: github.com/pmxt-dev/pmxt unified library for working across multiple prediction market platforms 5. CLOB Client: github.com/Polymarket/py-… place orders and manage positions through a simple API 6. TRUMP CODE: github.com/sstklen/trump-… analyzes Donald Trump posts and looks for related arbitrage opportunities 7. Polyseer: github.com/yorkeccak/Poly… AI tool for deep prediction market analysis using Bayesian evidence aggregation across multiple data sources 8. PolyClaw: github.com/chainstacklabs… CLI plugin for trading on Polymarket with AI-powered hedge discovery 9. Polymarket Data: github.com/SII-WANGZJ/Pol… 107 GB dataset containing 1.1B Polymarket trades from the blockchain for research completely free

🚨BREAKING: Python's Newest Algorithmic Trading Tool. Introducing Nautilus Trader. 100% free. Here's what it does (and how to get started in under 3 minutes):

บอกเลย…โหดมาก!!!🔥 MIT เปิดโค้ดฟรีบน GitHub แล้ว (open-source) ระบบ #ScienceClaw × Infinite ที่พัฒนาโดยศาสตราจารย์ Markus Buehler และทีม LAMM Lab 👀มันคืออะไร? - คือ ฝูง AI (เหมือนฝูงผึ้งหรือฝูงมด) ที่ทำงานร่วมกันโดย ไม่ต้องมีหัวหน้า สั่งการ - แต่ละตัว AI เป็น “นักวิทยาศาสตร์ตัวเล็ก ๆ” ที่สามารถใช้เครื่องมือวิทยาศาสตร์ได้หลายร้อยอย่าง (เช่น คำนวณโมเลกุล, ออกแบบวัสดุ, วิเคราะห์ข้อมูลชีววิทยา ฯลฯ) - มันทำงาน 24 ชั่วโมง ไม่ต้องให้คนคอยบอกว่า “ทำอะไรต่อ” 👇

The real problem with Claude Code: it forgets everything and starts over. every. time. This fixes it 👇 code-review-graph → builds a memory of your repo → understands what changed → skips unnecessary files SQLite based. fully local. github.com/tirth8205/code…

🚨SON DAKİKA: Birisi, hisse senedi araştırması, piyasa analizi ve canlı alım satımı otomatik olarak gerçekleştiren tam bir yapay zeka yatırım ajanı ekibini açık kaynaklı hale getirdi. Adı ValueCell ve rekor sürede 9.1K yıldız aldı. İşte tam olarak ne yaptığı + bağlantı yorumlarda 👇

🚨BREAKING: A dev just open-sourced the #1 ranked OCR model on Earth. It's called GLM-OCR and it just hit 94.62 on OmniDocBench V1.5, beating every OCR model in existence. Only 0.9B parameters. One pip install. Handles documents no other model could touch. 100% Open Source.

🚨BREAKING: Someone just open-sourced a full team of AI investment agents that handles stock research, market analysis, and live trading automatically. It's called ValueCell and it hit 9.1K stars in record time. Here's what it actually does + link is in the comments 👇

All-in-one hacking tool with 185+ tools github.com/Z4nzu/hackingt…

🚨BREAKING: Someone open-sourced a plug-and-play skill pack that gives any AI agent the full capabilities of a professional financial analyst. It's called Awesome Finance Skills, and it installs in under 30 seconds. Here's what your agent can do the moment you install it: → Pull real-time financial news from 10+ sources including WSJ, Cailian, Weibo, and Polymarket → Fetch live A-share and Hong Kong stock data with full OHLCV history → Run FinBERT sentiment analysis on any news story and return a score from -1.0 to +1.0 → Forecast price movements using the Kronos time-series model with live news adjustments → Track how investment signals strengthen, weaken, or get falsified over time → Auto-generate market transmission chain diagrams that explain exactly how one event ripples into another → Write a full professional research report from scratch — plan, write, edit, and chart in one command → Search the web and run local RAG across your own documents It works with Claude Code, OpenClaw, OpenCode, Codex, and Gemini CLI right out of the box. The same analysis that hedge funds pay six figures for in Bloomberg terminals is now a free git clone away. 100% Open Source. MIT License.

ของเด็ด ของดีย์ มีมาอีกแล้ว

This russian guy found a way to learn anything 10x faster with ai NotebookLM + Gemini + Obsidian

Best GitHub repos for Claude code that will 10x your next project: 1. Superpowers github.com/obra/superpowe… 2. Awesome Claude Code github.com/hesreallyhim/a… 3. GSD (Get Shit Done) github.com/gsd-build/get-… 4. Claude Mem github.com/thedotmack/cla… 5. UI UX Pro Max github.com/nextlevelbuild… 6. n8n-MCP github.com/czlonkowski/n8… 7. Obsidian Skills github.com/kepano/obsidia… 8. LightRAG github.com/hkuds/lightrag 9. Everything Claude Code github.com/affaan-m/every…

🚨BREAKING: Someone just open-sourced a tool that converts PDFs to markdown at 100 pages per second. 100% FREE. Runs entirely on CPU. No expensive GPUs needed. No cloud. It's called OpenDataLoader PDF. Give it any PDF - scanned documents, scientific papers, multi-column reports, complex tables - and it converts everything into clean Markdown, JSON with bounding boxes, or HTML. Ready to feed straight into any AI pipeline. Not a wrapper around someone else's OCR. Not a basic text extractor. A full document intelligence engine that understands layout, reading order, headings, tables, and formulas. Here's what this thing can do: → Extracts text in the correct reading order across multi-column layouts → Pulls complex borderless tables with 0.93 accuracy — highest of any open-source parser → Detects heading hierarchy, nested lists, and document structure automatically → Runs OCR on scanned PDFs in 80+ languages including Chinese, Arabic, Korean, and Japanese → Extracts math formulas as LaTeX from scientific papers → Gives you bounding boxes for every single element on the page → Describes charts and images using a built-in vision model → Filters prompt injections and hidden text - built-in AI safety that no other parser has Here's why every existing tool loses: They benchmarked it against 200 real-world PDFs including scientific papers and multi-column documents. OpenDataLoader scored 0.90 overall. Docling scored 0.86. Marker scored 0.83 but takes 54 seconds per page. MinerU scored 0.82 at 6 seconds per page. OpenDataLoader local mode? 0.05 seconds per page. That is over 1,000x faster than Marker at nearly the same accuracy. Here's the wildest part: It has two modes. Local mode runs pure Java — 20 pages per second on a basic CPU. Hybrid mode adds an AI backend for complex pages and scores #1 in every category. Run it on an 8-core machine with batch processing and you hit 100+ pages per second. Your documents never leave your machine. Zero API calls. Zero data transmission. 100% local. It even has a built-in AI safety layer that catches hidden text, transparent fonts, and off-page content that other parsers silently pass through to your LLM. One command to install: pip install -U opendataloader-pdf Works with Python, Node.js, and Java. Official LangChain integration included. 3.3K GitHub stars. 478 commits. 51 releases. 13 contributors. Actively maintained. 100% Open Source. Apache 2.0 License.

🚨 Designers charge $5,000+ for a custom design system. Someone just automated the entire process for free. It's called UI UX Pro Max. An AI skill that generates a complete, professional design system in seconds. Colors, fonts, layout patterns, accessibility rules. No Figma. No designer. No guessing. Here's how it works: You tell it what you're building. "A landing page for a beauty spa." "A SaaS dashboard." "A crypto exchange." It runs 5 parallel searches across: → 161 industry-specific design rules → 67 UI styles (Glassmorphism, Brutalism, Neumorphism, and more) → 161 color palettes matched to your industry → 57 curated font pairings with Google Fonts links → 24 landing page patterns optimized for conversion Then it gives you a full design system. Colors with hex codes. Typography with mood tags. Layout structure with section order. Effects and animations. Anti-patterns to avoid. A pre-delivery checklist for accessibility. Works with React, Next.js, Vue, Svelte, Flutter, SwiftUI, Tailwind, shadcn/ui, This is what agencies charge thousands for. It's free. 100% Open Source.

🚨 Wall Street analysts charge $500/hour for stock research. Someone just automated the entire job for free. It's called daily_stock_analysis. You give it your stock list. Every single day it collects market data, reads the latest news, runs everything through AI, and sends you a full decision report. Not alerts. Not charts. A complete buy/sell/hold verdict with exact prices. Here's what it does on autopilot: → Pulls live market data from 4 different sources → Scrapes real-time financial news → Feeds everything into Gemini or DeepSeek → Generates a decision dashboard for each stock → Gives you exact entry price, stop loss, and target price → Flags dangerous stocks that are too overextended to buy → Sends the full report to Telegram, email, Slack, or Discord Here's the wildest part: It runs on GitHub Actions. That means zero server. Zero cost. You fork the repo, add your stock list, drop in a free Gemini API key, and it runs every weekday at 6 PM automatically. Forever. For free. This is the kind of daily brief hedge fund interns spend 4 hours building every morning. It takes one fork and five minutes to set up. 711 GitHub stars. Pure Python. MIT License. 100% Open Source.