Digital identity pages with traffic quality

Hi HN,

I’ve been working on a digital identity platform that started as a link-in-bio tool, but evolved into something more focused on traffic quality and signal vs noise.

Most link pages show views and clicks. That never felt sufficient. I wanted to understand:

- how much of the traffic is actually human - where it comes from - what people click first - how much of it is noise or automation

So I built a traffic quality layer on top of personal pages. There’s basic bot filtering, a human score, first-click tracking, referrer breakdowns, and deeper analytics than a typical “click counter”.

Human score is currently based on request fingerprinting, simple behavioral signals and bot-pattern detection. It’s still evolving and I’m actively refining the heuristics.

On top of that, pages are fully customizable (not just stacked buttons), and there’s a built-in referral system with campaigns and coupons.

Example public profile: https://thugg.lol/m6jo9

Instead of spending on ads, I’m allocating budget to users who find real bugs or suggest features that we actually ship. So far that has produced better feedback than paid traffic.

It’s bootstrapped and built solo.

Would genuinely appreciate technical feedback, especially on the analytics approach and overall direction.

Happy to answer questions.