I was inspired to build Viral Ad Library because I kept running into the same problem as a founder and marketer: knowing what to post or advertise consistently was harder than actually building the product. I spent hours scrolling through different platforms trying to find winning ads, hooks, and creatives, but it was unstructured, time-consuming, and easy to miss what was actually working. The problem I wanted to solve was simple: how do you quickly find proven, high-converting ad inspiration without endless manual research or guesswork? Most tools either show raw ads without insight or require you to already know what you’re looking for. My approach evolved into using AI as the core engine. Instead of just storing ads, Viral Ad Library analyzes viral campaigns, identifies patterns, hooks, formats, and trends, and turns them into actionable inspiration. Throughout the build, the focus shifted from “another ad database” to a smarter system that helps founders, marketers, and creators move from idea to launch faster—with confidence backed by real performance signals.

Viral Ad libray

spy on your competition to see what is working

spy on your competition to see what is working