Members-Only
Recent Talks & Demos are for members only
You must be an AI Tinkerers active member to view these talks and demos.
March 05, 2026
·
London
OpenClaw for a Equity Fund Manager
See how OpenClaw can be personalized for daily life and equity fund management, including custom skills for Twitter monitoring, earnings reviews, and database integration.
Overview
Personal set up of OpenClaw for everyday life and equity fund management. Custom skills (twitter monitoring, earnings previews reviews, database)
Tech stack
- OpenClawOpenClaw is the viral, open-source, autonomous AI agent: a self-hosted 'digital employee' that executes real-world tasks across your local machine and messaging platforms 24/7.This is the next-generation autonomous AI agent, built by Peter Steinberger (founder of PSPDFKit). OpenClaw functions as a proactive, self-hosted assistant, running as a long-running Node.js service on your own hardware (e.g., a Mac Mini or VPS) for about $3–$5 per month. It integrates directly with chat apps (WhatsApp, Telegram, Discord) to receive instructions and report completions. The agent utilizes over 100 AgentSkills to execute complex, real-world workflows: clearing your inbox, writing code, managing documents, and checking you in for flights. The open-source project’s velocity is undeniable, having surpassed 100,000 GitHub stars quickly and reportedly driving a surge in Mac Mini sales.
- KimiMoonshot AI’s flagship LLM featuring a massive 2-million-character context window for deep document analysis.Developed by Beijing-based Moonshot AI, Kimi excels at processing ultra-long-form content (handling up to 200,000 Chinese characters in standard use and 2 million in advanced testing). It serves as a high-performance research assistant capable of parsing dozens of complex PDFs, debugging expansive codebases, and maintaining coherent long-term memory during extended sessions. By leveraging its proprietary infrastructure, Kimi delivers precise data extraction and synthesis for power users who outpace the token limits of standard industry models.
- GeminiGoogle's natively multimodal AI model: understands and operates across text, code, audio, image, and video.Gemini is Google's most capable and general AI model, engineered from the ground up to be natively multimodal: it seamlessly understands and combines information across text, code, audio, image, and video inputs. The technology is optimized for flexibility, running efficiently on everything from data centers to mobile devices. It is deployed in three key sizes: Ultra (for highly complex tasks), Pro (for broad scaling), and Nano (for efficient on-device tasks). Developers access this power via the Gemini API to build next-generation applications.
- CCCreative Commons (CC) provides the standardized legal infrastructure for global content sharing and open-source collaboration.Creative Commons (CC) manages a suite of free, public copyright licenses that enable creators to move beyond the restrictive 'all rights reserved' model. By using standardized legal tools like CC BY (Attribution) or CC0 (Public Domain), over 2.5 billion works across platforms like Wikipedia, YouTube, and Flickr are legally accessible for remixing and redistribution. This framework eliminates individual negotiations: it uses machine-readable code to help search engines index open content while ensuring creators retain specific rights (such as non-commercial use or share-alike requirements). For developers and educators, CC is the operational standard for building a transparent, interoperable global commons.
- CodexCodex is OpenAI's autonomous AI software engineering agent: it executes full development tasks in a sandboxed cloud environment.Codex is the advanced, cloud-based software engineering agent from OpenAI, built on a specialized model like `codex-1` (a fine-tuned version of `o3`). It operates on an asynchronous delegation model, allowing developers to assign complete tasks—not just receive suggestions—via the ChatGPT interface. The agent works independently in a secure, isolated cloud container provisioned with the user's GitHub repository and environment. It reads code, writes new features, fixes bugs, runs tests, and drafts Pull Requests (PRs) for review, significantly accelerating the development lifecycle. Access is provided through ChatGPT Plus, Pro, and Enterprise plans.
Finding related talks...
Compose Email
Sending...
Email preview
Loading recent emails...