signal2noise — AI-powered signal intelligence engine. Autonomous research, curation, and publishing pipeline. Firebase + React + Claude.
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Updated
May 19, 2026 - TypeScript
signal2noise — AI-powered signal intelligence engine. Autonomous research, curation, and publishing pipeline. Firebase + React + Claude.
ARC-Core is a signal-intelligence event spine — a deterministic kernel built to host every project its author has ever developed, in tandem and smoothly, through one universal discipline: every state change is an event, every event produces a signed receipt, and every receipt is authority-gated.
Multi-layer OPSEC failure analysis framework - Research-grade threat modeling and signal correlation
Standalone edge protection sensor and fleet management platform
👺Information-Alpha pipeline . scans GitHub, Hacker News & arXiv for high-value tech and business signals, filters them through an LLM analyst, and delivers the survivors as Obsidian-ready notes. CLI + iOS-styled local web UI. 信号花見 . the art of viewing only the most beautiful signals.(i generated this description with claude since i am lazy!)
Early anomaly detection platform using news, prediction markets, shipping flows, and geo-economic signals for quant research and alternative data analysis.
ai-powered market intelligence platform for Value Aligners. Ingests company signals from SEC filings, job boards, and websites. Scores accounts against ICP, generates AI outreach briefs via Groq LLaMA 3.3 70B. Enterprise and SMB versions with React dashboards.
情报采集。in 10+信息源 → out LLM评分+跨源事件聚类
IMSI Catcher saldırılarının teknik analizi ve RF tabanlı veri sızıntısı senaryoları.
Real-time Electronic Warfare tactical map. Passive SIGINT simulation: signal emitters, sensors, FSPL propagation, RSS multilateration & jamming detection. Go + Tauri/React. RTL-SDR ready.
Operating across cyber security, intelligence, and financial systems — building detection, analysis, and resilience capabilities in adversarial environments.
🛡️ Understand operational security failures through a research framework that links signal correlation across various layers of abstraction.
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