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Project Case Study
SignalForge
Signal detection built on top of event streams.
Overview
SignalForge is designed to detect meaningful patterns and actionable signals from incoming event streams.
Problem
Raw events alone are not enough. Systems need a way to identify when combinations of events become meaningful and worth acting on.
Solution
SignalForge separates detection logic from orchestration logic so signal analysis stays focused, maintainable, and scalable.
System Flow
High-level flow of how the system is structured from entry point to core processing and persistence.
Event Stream
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SignalForge Intake
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Pattern Detection Engine
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Rule Evaluation Layer
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Signal Output
Architecture
Key architectural decisions and boundaries that shape how the system is organized.
Signal detection pipeline
Event pattern evaluation
Separation from workflow orchestration
Extensible detection rules
Tech Stack
C#.NETEvent ProcessingDetection Engine