January 9, 2026
Paperwork vs. progress
Show HN: EuConform – Offline-first EU AI Act compliance tool (open source)
Offline EU AI rule‑checker drops; love for the name, shade for “bureaucracy first” vibes
TLDR: An open-source, offline tool to help apps follow EU AI rules sparked praise for privacy and puns, plus shade about “bureaucracy-first” culture. The hottest debate: whether the code looks AI-assisted and if the dev should say so, with one commenter defending the project’s positive value.
Hacker News lit up over EuConform, a free offline tool that helps AI builders follow the new European AI rules. It checks risk levels, tests for bias with a research method called CrowS‑Pairs, and spits out neat PDF reports—right in your browser, no data leaving your device. The name “EuConform” got instant applause, with one commenter swooning over the pun, while others fired off the classic EU = paperwork meme. One snarky voice cheered “focusing on bureaucratic compliance first,” and even dropped a tongue‑in‑cheek VC shoutout to compliantvc. Cue the debate: is this a boring rules‑tool or actually the grown‑up stuff builders need? The spiciest thread didn’t question the law—it questioned the code. A sharp-eyed commenter suggested the dev used AI coding assistants (spotting React tells), urging them to be transparent. That touched a nerve: another user stepped in, scolding the negativity and defending the project as a helpful open‑source contribution. Meanwhile, someone side‑eyed the whole “AI makes positive impact” idea with pure sarcasm, because of course. If you just want to try it, there’s a GitHub and one‑click deploy link. But the real show is the comments: pun‑lovers, rule‑skeptics, and code sleuths trading zingers like it’s EU Parliament, but with memes.
Key Points
- •EuConform is an open-source, offline-first tool for EU AI Act compliance, with client-side processing via transformers.js and WebGPU.
- •It implements risk classification aligned with Article 5 (prohibited systems) and Articles 6–7 + Annex III (high-risk categories).
- •The tool detects algorithmic bias using the CrowS-Pairs methodology and can generate Annex IV-compliant technical documentation as in-browser PDFs.
- •Enhanced bias detection is supported via local models using Ollama, with recommended versions/models for accurate log-probability metrics.
- •Legal coverage includes risk management, data governance, transparency, and human oversight; high-risk obligations apply from 2027.