The original title is about a developer who built an SEC disclosure-risk audit tool and what it found on a real ticker (SNBR).

Short summary

Developer Jared built FilingFirehose, an AI-powered SEC filing analyzer that detects disclosure red flags by correlating patterns in 8-K item sequences—like clustered officer departures followed by bankruptcy notices. Case study on Sleep Number Corp (SNBR) shows how the tool identifies risks that short-side analysts find but retail traders miss. Uses Claude Opus for narrative synthesis paired with deterministic EDGAR parsing; achieves 8ms response time via nightly pre-computation.

• •Analyzes SEC 8-K filings to detect disclosure red flags using Claude Opus for narrative synthesis
• •Case study on Sleep Number Corp identified 7 risk signals across clustered filings
• •Achieves 8ms response time via nightly pre-computation and deterministic EDGAR parsing

Generated with AI, which can make mistakes.