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I had the best night of poker that I’ve had in a long time when I went to the game at #Stockmansbar# in Missoula. The game runners were such great hosts. The dealers were great. The music was on point. I absolutely loved it, and I can’t wait to go back. #poker# #pokernight# #stockmanspokerroom#

You NEED to set this up. The best AI models + the best trading tool!! Connect TradingView to Claude, GPT, Codex, or any LLM in 30 seconds 😘😘😘 TradingView just released its official MCP, so go ahead and delete those old community MCPs. They're not as secure as the official one, and not as easy to use either! It can read charts, data and indicators directly, manage your watchlists, build screeners, set and manage alerts, and analyze any company's fundamentals. Pretty much everything you do in TradingView can now be done with AI's help. Seriously powerful. I made an illustrated guide to the whole setup. Give it a try, it works great.

Raven 0.2.0 — The Harness of Harnesses, built for RSI. 🐦‍⬛ One harness can't be best at everything. Raven combines its own specialist harnesses (Research, Code, Design, Oncall) with the agents you already use (Claude Code, Codex and more) into one team. And it's built for RSI, and not just at the skill level. The whole harness can be rewritten by AI: prompts, policies, strategy code, playbooks. Every sub-harness, including the orchestration layer itself, is its own instance that can be improved. With Raven you can: 1. Orchestrate many agents as one team. Raven's sub-harnesses and external agents work in one task graph with shared memory across sub-agents, powered by leading orchestration (0.963 Node F1 on the Multi-Agent Orchestration Benchmark). 2. Run long, complex tasks. Oncall and proactive execution keep work going for days, from scientific research loops to shipping a full Godot game. 3. Build vertical agents with RSI. Use Raven's RSI to develop and refine an agent for your domain, and we'll optimize it with you. Experimental for now; reach out to the Raven team(Discord: More in the video and slides below. Open source, Apache-2.0. (lots of work made with Raven lives there, and much of this launch's material was made with Raven too)