GooJev — On-device SMS & notification noise gate

A small local model that silences marketing SMS and push noise without deleting anything

Problem

Android users are flooded by marketing SMS and push notifications from banks, e-commerce apps, and services. Keyword rules miss new phrasings and over-block real messages. A developer has already shown that small judgment-only models like Jev can filter this noise on-device, proving the need and the technical path, but there is no one-tap product for normal users.

Solution

Run a lightweight classifier locally on the phone that scores every notification/SMS as marketing or important. High-probability marketing messages are folded into a “quiet folder” while important ones still alert. Users correct mistakes in one tap, and the model adapts incrementally on-device—fully offline, no content uploaded.

Users

Android users overwhelmed by marketing SMS and app pushes, especially privacy-conscious people who refuse to send messages to the cloud.

MVP

Android notification-listener permission + local small model; marketing messages folded into a quiet folder with one-tap restore; user feedback triggers on-device incremental learning; weekly noise digest without sending raw content anywhere.

Revenue

Free tier for single-SIM notifications; Pro one-time purchase or yearly subscription unlocks dual-SIM, custom quiet folders, and rule export; later sell white-label SDK to SMS service providers.

Why now

Small judgment models (Jev/System One route) now run with low latency on phones and cost far less than cloud LLMs; Android’s open notification access lets indie developers ship this directly.