Clean intelligence from the live web.

I'm Rácz-Akácosi Attila, an independent Central-European builder. For nearly two decades I've worked deep inside digital systems — reverse-engineering how they really behave, building predictive models, and applying machine learning to messy, real-world data long before it was fashionable.

One thread runs through all of it: digital responsibility — that data should be handled honestly and signals measured, not guessed. Piperic is where that meets the open web: no vanity metrics, no inflated database — just the live web, measured carefully and published as it actually is.

We crawl the open web at scale and enrich every site we keep: its category, technology stack, contact details, and AI policy (robots rules, llms.txt, terms-of-service signals). The crawler reads each homepage the way a careful analyst would, then we structure the result so it's searchable, segmentable and exportable.

Crucially, we publish only what's alive — HTTP 2xx, not parked, not a dead redirect. A smaller, honest dataset beats a bloated one every time, especially when you're building a list you'll actually contact.