BlynkAds - Showcase Project

AI-native performance marketing platform BlynkAds runs your Meta & Google ad campaigns, creates ad creatives, builds landing pages, and optimizes campaigns using closed-loop sales feedback from CRMs. All of this is done from a single prompt in minutes, without needing a performance marketer, video/graphics designer & developer team. How far along are you? We currently use BlynkAds internally to manage advertising for 50 paying clients. The platform manages approximately $66,000 in monthly Meta advertising spend and automates campaign creation, creative generation and optimization workflows that were previously manual. Before building BlynkAds, scaling our agency required hiring more marketers and designers. Today much of that workflow is automated. We are now expanding the product into a SaaS platform by adding AI-generated landing pages and self-serve onboarding. What tech stack are you using, or planning to use, to build this product? Include AI models and AI coding tools you use. Backend: FastAPI, Python, PostgreSQL AI: Qwen running locally with Ollama, Claude for development, semantic retrieval using embeddings with BM25 hybrid search. We use historical advertising performance, CRM conversion data and creative performance data to retrieve similar campaigns and generate new ones. Infrastructure is hosted on cloud servers with ChatGpt, Gemini, Meta and Google Ads API integrations. How do or will you make money? How much could you make? BlynkAds charge businesses a monthly subscription to use the BlynkAds platform + 5% of ad spend. Global ad spend on Meta & Google is $500B/year Even if we capture just 2% market share over the next year, that would translate to $10B annually in ad spend flowing through BlynkAds. With 5% campaign fee, our revenue would be $500M+/year + Subscription fee