Market Inefficiency

Android app deal listings are scattered across forums, retailer pages, and social feeds. Consumers spend excessive time cross‑checking prices, while publishers lack a single channel to push time‑sensitive promotions. This fragmentation depresses conversion rates and inflates acquisition costs for both sides.

Strategic Vision

We will build an AI‑driven aggregation platform that ingests deal data in real time, normalizes pricing, and surfaces the most attractive offers to users through a personalized feed. The product will launch in three phases: Phase 1 - data pipeline and core UI Phase 2 - machine‑learning recommendation engine Phase 3 - marketplace for publishers to publish limited‑time offers directly.

Revenue Model

Affiliate commissions will generate $12 million annual recurring revenue by year 3, with a 35 % gross margin after platform costs.

Technology Stack

Serverless cloud functions handle ingest, a graph database stores relational pricing data, and a transformer‑based model ranks offers per user preference.

Go‑to‑Market Tactics

Targeted acquisition through tech‑savvy forums, partnership with Android device manufacturers for pre‑install slots, and a referral program that rewards users with credit for each successful conversion.