Solving the ~95% legislative coverage gap using LLM's

Hi HN, I'm Jacek, the solo founder behind this project (Lustra).The Problem: 95% of legislation goes unnoticed because raw legal texts are unreadable. Media coverage is optimized for outrage, not insight.The Solution. I built a digital public infrastructure that:1. Ingests & Sterilizes: Parses raw bills (PDF/XML) from US & PL APIs. Uses LLMs (Vertex AI, temp=0, strict JSON) to strip political spin.2. Civic Algorithm: The main feed isn't sorted by an editorial board. It's sorted by user votes ("Shadow Parliament"). What the community cares about rises to the top.3. Civic Projects: An incubator for citizen legislation. Users submit drafts (like our Human Preservation Act), which are vetted by AI scoring and displayed with visual parity alongside government bills.Tech Stack:Frontend: Flutter (Web & Mobile Monorepo),Backend: Firebase + Google Cloud Run,AI: Vertex AI (Gemini 2.5 Flash),License: PolyForm Noncommercial — source is available for inspection, learning, and non-commercial civic use. Commercial use would require a separate agreement.I am looking for contributors. I have the US and Poland live. EU, UK, FR, DE in pipeline, partially available. I need help building Data Adapters for other parliaments (the core logic is country-agnostic). If you want to help audit the code or add a country, check the repo. The goal is to complete the database as much as possible with current funding.Live App: https://lustra.newsRepo: https://github.com/fokdelafons/lustraDev Log: https://lustrainitiative.substack.com