This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Cookieless visitor identification and browser fingerprinting that identify returning visitors across VPNs, incognito, and cleared cookies. Drop-in JavaScript SDK with server-side smart signals.
Cookies and session IDs break too easily. Users clear storage, browsers block tracking, and fraudsters reset identifiers, so product and risk teams can’t reliably tell “same returning visitor” from “brand-new user,” which breaks attribution and opens the door to signup abuse, multi-accounting, and bots. That’s the pain DigitalFingerprint solves: a persistent visitor ID from device fingerprinting, plus server-side risk signals, without depending on cookies.
Honestly this looks really promising for handling the VPN and incognito cases since most tools struggle there. One thing that would honestly make it way more useful for my team is a built-in dashboard or at least some kind of visual reporting so we can actually see match rates and confidence scores over time without having to build our own analytics layer on top of the SDK.
The SDK took maybe ten minutes to drop in and I was honestly surprised how many of my "private" test sessions still got matched the next day. Wish the dashboard had a bit more detail on which signals actually triggered, but the core accuracy feels solid.
A dashboard view that shows the accuracy rate across different scenarios (VPN, incognito, cleared cookies) would be really helpful. Right now it feels like a black box — I can see it works, but having per-environment confidence scores side by side would make it way easier to decide which signals to trust and which ones to weight differently in my own scoring logic.
DigitalFingerprint was submitted on Product Hunt and earned 14 upvotes and 7 comments, placing #73 on the daily leaderboard. Cookieless visitor identification and browser fingerprinting that identify returning visitors across VPNs, incognito, and cleared cookies. Drop-in JavaScript SDK with server-side smart signals.
DigitalFingerprint was featured in Analytics (172.8k followers), Developer Tools (515.9k followers) and Tech (628.1k followers) on Product Hunt. Together, these topics include over 257.9k products, making this a competitive space to launch in.
Who hunted DigitalFingerprint?
DigitalFingerprint was hunted by Shlok Shinde. 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.
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Shlok Shinde