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liar.js
How consistent is your browser, really?
Collects your JS fingerprint - canvas double-read lie test, WebGL / WebGPU cross-check, worker-thread UA, native-code integrity - plus the edge's TLS ClientHello, ASN and HTTP, scoring every cross-layer contradiction. Spoof one layer; the other exposes it.
Top comment
Every anti-detect browser plays the same game: patch the JavaScript fingerprinting surface — randomize canvas, swap the WebGL renderer, rewrite the user-agent, fake the timezone. Against a fingerprinter that only reads JavaScript, it works. But a browser only controls its JavaScript. It doesn't control the network it connects over — the TLS handshake, the ASN, the protocol it negotiates, the IP it actually comes from. That's set by infrastructure, not by a patch. liarjs scores the contradictions between the two. A profile can look like a pristine Chrome in JavaScript and still be sitting on an IP whose timezone is twelve hours off, negotiating a handshake no real Chrome would send. Fake one layer; the other gives it up. See where your own browser contradicts itself → liarjs.dev
About liar.js on Product Hunt
“How consistent is your browser, really?”
liar.js was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #158 on the daily leaderboard. Collects your JS fingerprint - canvas double-read lie test, WebGL / WebGPU cross-check, worker-thread UA, native-code integrity - plus the edge's TLS ClientHello, ASN and HTTP, scoring every cross-layer contradiction. Spoof one layer; the other exposes it.
On the analytics side, liar.js competes within Privacy, Developer Tools and Security — topics that collectively have 530.3k followers on Product Hunt. The dashboard above tracks how liar.js performed against the three products that launched closest to it on the same day.
Who hunted liar.js?
liar.js was hunted by Zane Phillips. 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 liar.js including community comment highlights and product details, visit the product overview.