We’re live! 🎉 AmiUnique.io is a privacy-first Neo-SaaS that shows exactly how identifiable your browser is — run a free, no-account scan to see your percentile against 2M+ fingerprints, view the Three-Lock breakdown (Gold/Silver/Bronze), and get practical mitigation tips. Key capabilities Three-Lock classification: Gold (hardware — highly stable), Silver (software — moderately stable), Bronze (network — session-level). Rarity badges and top-signal cards that show per-dimension rarity (e.g., GPU renderer, fonts hash, ASN) and recommended mitigations. Lie detection: cross-checks timezone, locale, UA, and network metadata to flag spoofing or automation. Fast, auditable telemetry: sub-100ms global delivery via a static Next.js 14 export and modern edge distribution. Privacy guarantees: no tracking, no selling of personal data — scans are designed to be transparent and explainable. Who benefits Security & fraud teams: prioritize mitigation by focusing on the most stable, high-value signals. Privacy-conscious individuals: understand what makes their device identifiable and how to reduce exposure. Researchers & product teams: realtime percentiles and distribution telemetry for experimentation and analysis. Outputs & integrations Realtime percentile, per-dimension rarity, Three-Lock summary, and human-friendly mitigation tips. Documentation for every collector so auditors and developers can verify what is measured. Lightweight embed and API patterns for integration into security workflows and threat models. Why it matters As cookies fade, fingerprinting is becoming a primary signal for tracking, fraud, and personalization. AmiUnique delivers transparent, actionable visibility so organizations and individuals can make informed decisions about identity risk, mitigation, and design trade-offs. Built for security teams, researchers, and privacy-minded people — try a scan, tell us what surprised you, and drop questions or feature ideas below.

AmiUnique.io

Real-time browser fingerprinting insights

Real-time browser fingerprinting insights