Marketing
- Published the weekly Fund Update for May 22 — continuing the weekly rhythm of transparent, pre-live testing updates covering fund performance, macro regime, and council notes.
- Published a new blog post on benchmarking AI models before production — documenting our approach to evaluating and selecting the right AI models for the fund's decision-making pipeline before any live deployment.
- Developed new formats for educational and explainer content — exploring slide decks, video and audio overviews, reports, and infographics to make the Messy Virgo product and investment approach more accessible to a wider audience.
Business & Operations
- Improved website SEO and cleaned up internal build artifacts — keeping the site lean, fast, and discoverable as content grows.
Product Development
- Shipped the News Signals report — a new public report surface that tracks and weighs news sources relevant to fund decisions, with tuned source weights, duplicate filtering, and an improved UI.
- Launched the first Guru Lotus fund integration — the platform can now sync, display, and provision read-only funds from Guru Lotus, including NAV sharing, provider sync, and a dedicated viewer UX.
- Started the AI Model Testing Framework ("shootout") — a structured approach to benchmarking AI models against each other before promoting them into production, ensuring the council and agent layer always runs on the best available model for the task.
- Internal clean-up across the platform — retired legacy admin UI, removed dead routes, pruned low-value tests, and added periodic data retention purges for news and macro snapshots to keep the system lean.