
Bear
29.3K posts

Bear
@crypt0b3ar
Full-time web3 ✱ @Polymarket researcher ✱ @Prob_trade ambassador ✱ @Zscdao member






I stopped getting AI slop. I built a system that knows how I think. Generic AI output is a symptom of generic input. No context about your projects, your style, your priorities. Every response is averaged internet - confident, bland, useless. The fix isnt a better model. Its a better memory. > Why Obsidian and not Notion. Local Markdown files. Any AI agent reads and edits them directly - no paid API, no cloud subscription. The data stays on your machine. And the plugin ecosystem is enormous. Four plugins that run the base. Note Companion AI - transcribes YouTube videos and podcasts into structured notes automatically. Templater - reusable templates for recurring entries. Terminal - runs the command line and the AI agent directly inside Obsidian. Excalidraw - visual diagrams and connection maps. > The autonomous setup. Clean Mac Mini, isolated environment. Node.js and Claude Code installed. One prompt generated the entire folder structure - Inbox, Daily, Projects, Archive - with all connections between them. Then I set up OpenClaw and created a Telegram bot called Glados. Now it's the bridge between my phone and my computer. Driving, hands-free voice message - the idea lands in the right Obsidian folder automatically. The personalization layer - three files that kill the slop. context.md - who I am, my projects, my daily rhythm, my interests. voice.md - I exported my best Telegram posts and fed them to the AI. It copied my writing style exactly. kill_list.md - words, phrases, and patterns the AI must never use. This file is why the output doesnt read like a chatbot. > What the system actually does. Every Sunday /week runs automatically - the bot scans all projects and completed tasks, compares them against the plan, and generates a full weekly report with pulled deadlines. Before any meeting - 30 seconds to pull every past agreement with that person from the base. New idea today that connects to a note from two months ago - the system finds it. You dont. The longer you use it, the smarter it gets. That's the only compounding that matters.







Polymarket bots make $100k each month. They already extracted $25M from prediction markets. Good news? You can build the same one thanks to one tool. This bot is trading crypto Up/Down markets automatically. Link: [t.me/TradePolyBot?s…] However you have to set it up correctly. I spent 10 days trying different strategies. This one has doubled my bankroll in ~72 hours: 5m all markets > enter at 85¢ > TP at resolution, SL at 65¢ > slippage 10% Crucial part: adjust entry window to entry after 280s into the cycle so only 20s are left. This bot started trading $BTC markets just 3 weeks ago. Current PnL? +$590k clean. His wallet: [@0xde17f7144fbd0eddb2679132c10ff5e74b120988-1772205225932?r=dexterslab#ZUDvuSD" target="_blank" rel="nofollow noopener">polymarket.com/@0xde17f7144fb…
] Perfect example of how automated trading beats manual execution. Probably a game changer for 2026. Use the edge while it's still possible.






















