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I spent 1,200 hrs building my AI marketing team. here's the full tour
AI Marketing Hub Home is my complete marketing system inside one vault. You type /𝗵𝗼𝗺𝗲, and a team of 𝟭𝟳 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 gets to work with Claude Code or Codex: SEO, blogs, ads, email, social and sales. Why it's more than another prompt pack: • 𝟭𝟯𝟵 𝘀𝗸𝗶𝗹𝗹𝘀 and 𝟭𝟮 𝗯𝗿𝗮𝗶𝗻𝘀, every checklist item linked to its source • Nothing publishes or spends money until you 𝗮𝗽𝗽𝗿𝗼𝘃𝗲 𝗶𝘁 • Every step your agents take is recorded, so you always see what was 𝗱𝗼𝗻𝗲 and why • 𝗬𝗼𝘂𝗿 𝗮𝗴𝗲𝗻𝘁𝘀 𝗹𝗲𝗮𝗿𝗻 from the work you accept and the work you reject The free skills you use here (Claude SEO, Ads, Blog and Obsidian) are the foundation. Home is where they come together and work as one team. My own sites run on them. Watch the full 27 minute tour: https://www.youtube.com/watch?v=6OmpkvjhuyE Home is available to AI Marketing Hub Pro members. If you want it running on your own projects, that's where you'll find it, along with me and everyone building with it. Questions? Drop them below, I'm reading all of them.
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Welcome 🤝 tell me what you're building
𝗚𝗹𝗮𝗱 𝘆𝗼𝘂'𝗿𝗲 𝗵𝗲𝗿𝗲. 𝗗𝗿𝗼𝗽 𝘆𝗼𝘂𝗿 𝗶𝗻𝘁𝗿𝗼 in the comments , two questions: What are you building or trying to rank ❓ What's your #1 marketing bottleneck right now ❓ 𝑰 𝒓𝒆𝒂𝒅 𝒆𝒗𝒆𝒓𝒚 𝒄𝒐𝒎𝒎𝒆𝒏𝒕. 𝑨𝒍𝒘𝒂𝒚𝒔 𝒉𝒂𝒗𝒆. If you ever want the fastest way to replace manual SEO, ads and content work with AI agents. The workflows we don't publish, built to rank and get cited by AI, 𝗣𝗿𝗼 𝗛𝘂𝗯 is where that lives. This hub stays free forever. Best, Daniel Github Youtube Join Pro Hub ──────────────────────────── 𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘆𝗼𝘂 𝗵𝗲𝗿𝗲 𝘁𝗼 𝗴𝗲𝘁 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝘁? ⬇️
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Welcome 🤝 tell me what you're building
an Agent Office like never before
goodnes...look at what cody cooked! and it is MIT ! vid: youtube.com/watch?v=7ggspQNUMYw repo: github.com/AgentSystemLabs/agent-office
Train a Custom YOLOv8 Detector in Python (Playing Cards)
For anyone studying custom object detection and deep learning workflows: Real-world computer vision requires adapting pre-trained architectures to specialized feature distributions that standard public datasets cannot resolve. Leveraging Ultralytics YOLO anchor-free head for optimized detection speed and accuracy, this workflow covers isolating dependencies within a CUDA environment, visually auditing normalized annotations with OpenCV, fine-tuning the detector on a playing cards dataset, and systematically benchmarking output bounding boxes against ground-truth labels. Reading on Medium . Detailed written explanation and source code. Join my Newsletter . Deep-dive video walkthrough. This content is for educational purposes only. The community is welcome to provide constructive feedback or ask technical questions regarding dataset formatting, hyperparameters, or training configurations in the comments. Eran Feit #YOLOv8 #ObjectDetection #DeepLearning
183 mods for Claude Code in one place
Hey guys, here you can find all the cool mods for Claude Code: claude-mods.com 183 mods so far. A mod is a plugin that runs inside Claude Code. Some I like: - blast-radius: shows what rm -rf or a force push would change before it runs - pii-guard: redacts personal data from prompts and tool results - fast-jev-compaction: compacts a session by dropping stale tool calls - intermission: multiplayer Doom while Claude works Each listing has the two install commands. You need Claude Code 2.1.287 or later. Mods run with your permissions and are not sandboxed, so read the code before you install one. Tell me which ones you try.
183 mods for Claude Code in one place
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AI Marketing Hub
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SEO, search, automations, content & tools. Learn how to rank on Google & ChatGPT and what drives growth.
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