Hi HN,

I'm Naman Sanghi, and I'm building Adnoxy to fix a problem that seems absurdly unsolved: the offline ad market ($300B+ in offline ads) runs on guesswork and has no provable ROAS.

We’re an AI engine to fix this. It's live right now.

Here’s the core tech:

    -A brand gives us their website URL.

    -Our AI analyzes the site to model what we call its "Brand DNA", its niche, audience, aesthetics, price point & everything about it.

    -The engine then scores this "DNA" against our database of offline ad placements, using a model that weighs Audience-Business Affinity, real-world visibility, competitive saturation, even local economic data, and hundreds of different factors.

Instead of a 3-week agency process, the brand gets a data-driven "Top Placements" list of high-ROI placements in seconds & they can book with just a click, & we can also analyse and optimize the campaign (with safeguards) for their brands.

We're also licensing this engine as a SaaS tool to agencies and media owners so they can run this analysis for their own clients.

We've been at this for about 6-7 months. The MVP is operational and we're running our first pilot campaigns.

I’m here because I'd love this community's brutal feedback on the core thesis.

Our site is https://www.adnoxy.com It's still very early, so the platform is free for the first 50 HN users who sign up.

Can a brand's digital DNA be reliably mapped to the audience of a physical location to predict ad success? What holes do you see in this model? I'll be here all day. Ask me anything.