Hello HN,

I built Zyro because I got tired of Google Analytics dumping 40% of my traffic into "Direct" and claiming credit for every sale.

Most analytics tools rely on simple referrers. We built a traffic brain that parses 50+ specific traffic signatures, specifically targeting the "blind spots" in modern tracking:

    AI Answer Engines: Detects referrals from ChatGPT, Gemini, Perplexity, and Claude.

    Dark Social: Identifying specific parameters from Reddit, Discord, and Quora that usually get stripped.

    Revenue Ledger: Instead of "pixel fires," we use a linear multi-touch model that splits the actual revenue (from Stripe/Bank Wire) across every touchpoint in the last 30 days.

It also does standard A/B testing, but with a twist: you can trigger experiments based on intent signals (like "read shipping policy" or "rage clicked") rather than just URL routing.

The backend runs on a custom SQL schema designed for high-throughput event logging. I’d love you to roast my attribution logic or ask how we fingerprint the AI traffic.

OP here. Just to get ahead of the 'why not just use GA4?' questions:

GA4 creates a black box around 'Direct' traffic and struggles with the new wave of AI referrals. We found that for many SaaS/E-com sites, 15–20% of traffic is now coming from LLMs (ChatGPT, Perplexity) or 'Dark Social' (Discord, Slack) which GA4 misattributes.

We built this to give raw access to that data and allow you to act on it (by changing the site experience) rather than just looking at a dashboard 24 hours later.

Happy to answer any technical qs about the intent scoring or our crawler!