I've been exploring browser fingerprinting tools lately and came across FireKey (app.firekey.ai). It shows your real browser fingerprint in real time, which is surprisingly detailed. Most people assume incognito mode or a VPN makes them private, but fingerprinters can use WebGL, canvas, AudioContext, font enumeration, and dozens of other signals to identify you across sessions. Has anyone here used anti-detect browsers or fingerprint testing tools for legitimate privacy testing? Curious what approaches work best for: - E-commerce sellers managing multiple accounts (legally) - Developers testing geo-specific features - Privacy researchers studying tracking methods FireKey makes this visible by generating a unique fingerprint hash you can compare across browsers/devices. Interesting tool for understanding what sites actually see.Hey Product Hunt community! FireKey is an anti-detect browser that gives each profile a unique, realistic browser fingerprint. Browser fingerprinting accounts for ~70% of multi-account correlation detections. Even with a VPN, if two accounts share the same canvas hash or WebGL renderer, platforms link them. FireKey assigns unique fingerprints per profile and includes a built-in audit tool. Free beta at app.firekey.ai - would love feedback from the community!
We've been getting great feedback from e-commerce sellers on the Canvas + WebGL fingerprint isolation. The seed-based approach means each profile generates a consistent, unique fingerprint -- important for account stability on platforms that check for fingerprint changes between sessions. Happy to answer technical questions about the fingerprinting implementation!
We've been getting great feedback from e-commerce sellers on the Canvas + WebGL fingerprint isolation. The seed-based approach means each profile generates a consistent, unique fingerprint -- important for account stability on platforms that check for fingerprint changes between sessions. Happy to answer technical questions about the fingerprinting implementation!
This fills a real gap for e-commerce sellers. The approach of spoofing fingerprints to plausible values (rather than blocking APIs) is technically sound — blocking Canvas/WebGL is itself a detectable signal. Each account needs a consistent unique fingerprint, not a randomized one each session.