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ComplianceLint
EU AI Act compliance linter that runs in your IDE
Scan, attest, and document EU AI Act compliance from your IDE. 247 obligations decomposed from 44 articles, each tied to verbatim EUR-Lex citations. AI scanner handles code-verifiable obligations; Human Gates capture attestations for FRIA, Art. 14 oversight, Art. 26(7) worker notifications. Export audit-ready PDFs (Declaration of Conformity, Technical Documentation) at any time. MCP runs in your IDE — Claude Code, Cursor, Windsurf. Free + source-available (BSL 1.1).
Hi PH,
I run another project called EvoRadar (evoradar.ai) — an autonomous AI engine that generates and scores startup ideas. Across multiple independent runs, my own engine kept converging on the same niche, 23 separate times: EU AI Act compliance.
I built the tool my engine kept pointing at. That's ComplianceLint.
Two layers:
• MCP scanner in your IDE (Claude Code / Cursor / Windsurf) — reads your codebase and checks the ~10% of obligations that are code-verifiable (logging, data quality, risk classification metadata)
• SaaS dashboard — Human Gates capture the 90% needing human judgment (FRIA, Art. 14 oversight assignments, Art. 26(7) worker notifications). Evidence trail. Audit-ready PDF exports (Declaration of Conformity, Technical Documentation).
A few decisions worth surfacing:
• Deterministic obligation engine — early versions had Claude read the legal text freely. Same code, different answers on different runs. Now every obligation is a structured entry (source_quote, detection_method, what_to_scan). AI is the eyes — the engine is the brain.
• Code stays on your machine — MCP scanner runs entirely local. Only findings + evidence submissions sync to the dashboard.
• BSL 1.1, source-available (converts to Apache 2.0 on 2030-04-11) — solo founder math: pure OSS doesn't fund 4+ years of obligation tracking, the 2030 sunset makes it credible.
Live demo, no signup: compliancelint.dev/demo — pre-loaded with limited-risk chatbot, high-risk finance, and high-risk medical AI systems.
Most interested in feedback from anyone wrestling with actual EU AI Act work — especially Art. 17 QMS for small teams, or Art. 14 oversight design patterns.
Thanks for taking a look 🙏 — Juan, Solo founder, Munich
About ComplianceLint on Product Hunt
“EU AI Act compliance linter that runs in your IDE”
ComplianceLint was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #80 on the daily leaderboard. Scan, attest, and document EU AI Act compliance from your IDE. 247 obligations decomposed from 44 articles, each tied to verbatim EUR-Lex citations. AI scanner handles code-verifiable obligations; Human Gates capture attestations for FRIA, Art. 14 oversight, Art. 26(7) worker notifications. Export audit-ready PDFs (Declaration of Conformity, Technical Documentation) at any time. MCP runs in your IDE — Claude Code, Cursor, Windsurf. Free + source-available (BSL 1.1).
On the analytics side, ComplianceLint competes within SaaS, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how ComplianceLint performed against the three products that launched closest to it on the same day.
Who hunted ComplianceLint?
ComplianceLint was hunted by Juan Wang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of ComplianceLint including community comment highlights and product details, visit the product overview.
Juan Wang