Vester
Claude Code for Investing. Level up your Portfolio
What it does
Your personal army of investment analysts. With 12+ live data feeds and 50+ curated finance skills, Vester is a highly autonomous agent built to make "smart-money" investing 10x easier. Covers equities, crypto, and macro with live data from prediction markets, government filings, economic indicators, on-chain analytics, sentiment feeds, and more. Every number sourced and traceable. Beat the major AI labs head to head on the vals.ai Finance Agent benchmark public set. Totally free to start.
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- APAI-Powered Stock Market Analyst with Global Coverage2024 · decodeinvesting.com · ▲51
We’re thrilled to announce the launch of our AI-powered stock market analyst chatbot, designed to help you analyze stocks and gain valuable market insights with ease. Our intuitive conversational chat interface makes it simple for anyone to get started. Why You’ll Love It: Our AI Analyst uses a long-term value-growth investing strategy, similar to those employed by legendary investors like Warren Buffett, Mohnish Pabrai, Phil Town and Charlie Munger. It’s built to provide you with thorough, data-driven analysis to help you make informed investment decisions. Key Features: - Comprehensive…
- SOStockfisher –– our automated Warren BuffettNov 2025 · ▲16
Hey HN, I’m Dan. I’ve been working on forecasting for the last six years at Google, then Metaculus, and now at FutureSearch. For a long time, I thought prediction markets, “superforecasting”, and AI forecasting techniques had nothing to say about the stock market. Stock prices already reflect the collective wisdom of investors. The stock market is basically a prediction market already. Recently, though, AI forecasting has gotten competitive with human forecasters. And we’ve found a way of modeling long-term company outcomes that is amenable to our forecasting approach. Iteration by…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
