TheBillRoom.org
Plain-language bill summaries; conflict-of-interest tracking
What it does
Understand any U.S. bill in 60 seconds. Nonpartisan AI-powered summaries, conflict-of-interest scoring, party defection tracking, and campaign finance data for federal and state legislation.
Does the same job
all alternatives →- GFGovbase – Follow a bill from source text to news bias to social postsMar 2026 · govbase.com · ▲219
Govbase tracks every bill, executive order, and federal regulation from official sources (Congress.gov, Federal Register, White House). An AI pipeline breaks each one down into plain-language summaries and shows who it impacts by demographic group. It also ties each policy directly to bias-rated news coverage and politician social posts on X, Bluesky, and Truth Social. You can follow a single bill from the official text to how media frames it to what your representatives are saying about it. Free on web, iOS, and Android. https://govbase.com I'd love feedback from the community,…
AI Super Summaries Powered by GPT-42023 · ▲108Comprehensive meeting summaries & automated call notes
- AAAwra – AI-powered legislative bill analyzer2025 · awra.ai · ▲11
I built Awra to solve a simple problem: understanding what bills in Congress actually mean for regular citizens. What it does: - Explains federal bills in plain language - Shows state-specific impacts - Provides cost analysis when available - Uses AI to answer questions about any bill I've found that while tools like ChatGPT can explain bills, they often hallucinate or work with outdated information. Awra directly fetches from Congress.gov's API and uses RAG to ensure accuracy. Try it out: https://www.awra.ai GitHub: https://github.com/reacthor-ai/awra Looking…
- ALAI Law Tracker – one audited API for US, EU and global AI lawJul 2026 · ai-law-tracker.com · ▲20
More ai this month
the category →
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, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com