AI Automation / Event-Driven System

NostrMind

A configurable Nostr monitoring worker that classifies live events with an LLM and can send targeted DM alerts.

Role: Designed the monitoring and classification flow
Signal: Public source code

01 / Context

Problem

Monitoring decentralized event streams requires continuous filtering, interpretation, and notification that is costly to perform manually.

02 / Architecture

Approach

Built a config-driven worker that listens to Nostr relays, applies explicit rules, requests model classification, and routes matching events to optional alerts.

NODE / 01Nostr Relays

NODE / 02Rule Engine

NODE / 03LLM Classifier

NODE / 04DM Alerts

03 / Ownership

What I owned

Designed the monitoring and classification flow
Implemented configurable rules and alert routing
Built the TypeScript and Node.js worker

04 / Results

Verified outcomes

→Config-driven monitoring without code changes
→LLM classification over live Nostr events
→Optional real-time DM alerts

05 / Technology

TypeScript
Node.js
LLM API
Nostr
Event Processing