Hi,
Thank you for such a thoughtful comment, you’ve raised important points that deserve a clear and detailed reply. I’ll address each in turn so the community understands what is and what it aims to do.
I agree that much of advertising has been invasive, yet it also funds the open web and helps people discover new products and services. The model keeps the good and removes the bad: ads run only in publisher placements, with explicit user consent and every click/view/conversion is privately verified using zero-knowledge proofs so no personal data ever leaves the device. Unlike Brave’s BAT model, which serves browser-level ads and can bypass publishers, it integrates directly with sites and automatically shares revenue.
Our mission is to replace surveillance-based targeting with privacy-first, user-consented engagement. Ads are shown only if the user opts in (and selects categories) or matched contextually to page content without tracking. Users earn crypto rewards for their attention, publishers get a fair share of revenue and advertisers reach real human audiences without profiling, data resale or psychological manipulation.
We’re not claiming a perfect, bot-proof system, that’s unrealistic. For our MVP, “legitimate” means human-initiated, unique and non-replayable. We achieve this through on-device event binding with short-lived nonces, lightweight presence checks for high-value clicks and adaptive proof-of-work for suspicious spikes. Each interaction produces a zero-knowledge proof that the checks occurred, without revealing identity or raw behavioral data. This makes large-scale bot automation costly and keeps users anonymous.
Integration and real-world use:
For publishers: they simply add theTag (similar to Google’s ad tag) into their existing placements. No redesign, no complex setup. it serves ads in the publisher’s own inventory, not as browser overlays, ensuring revenue flows to the site.
For users: they control what categories of ads they see through the ID mobile app, which acts as a private “data vault.” If no preferences are set, ads are matched contextually to the page content via on-device AI, with no tracking or personal data leaving the device. Every verified view, click or conversion earns the user crypto rewards (shielded ZEC by default) paid directly into their app wallet.
For advertisers: they reach real, verified human audiences with zero-knowledge–verified engagements, meaning every paid view or click is proven without revealing identity.
Privacy-first adtech is high-risk and rarely funded by VCs, because it challenges the dominant surveillance-driven model. That’s why ZCG’s milestone-based support is meaningful, it enables us to prove this model works without compromising on privacy.
Finally, I agree that much of the ad industry promotes harmful patterns. our goal is to prove that monetization can happen without exploitation, with privacy, consent and fair compensation built in from the start.