David Wolf · Project Use Case
AI SECURITY · PRODUCT SECURITY · SYNTRYX
Syntryx
OSINT Platform Product Buildout
Leading product and engineering for a 2B-page open-source intelligence platform using high-throughput crawling, PostgreSQL-scale ingest, ML, NLP,...
Led product and engineering for Syntryx, an open-source intelligence platform for multi-channel web and behavioral data, managing an 11-person team, serving 100+ enterprise clients, driving approximately $2M ARR, and operating a...
Client
Syntryx
Engagement Type
Full-Time
Period
2006–2010
Role
Director, Product Manager
Focus Areas
Product Leadership, Engineering Leadership, OSINT Platform, Large-Scale Web Crawling
The Research Narrative
Strategic Problem
The product had to operate at web scale while still producing customer-facing insight. Crawling billions of pages was only useful if the platform could extract signal from domains, keywords, ads, links, and...
What David Did
David led product and engineering while building a PostgreSQL-backed OSINT platform with high-throughput crawling, ingest, ML, NLP, clustering, factor analysis, and graph visualizations....
What Became Clearer
The Syntryx work became a foundation for David's later security and AI career: large-scale telemetry, schema design, graph thinking, ML-assisted analysis, and evidence-driven storytelling...
Consulting Proof
This is evidence of turning messy security telemetry into explainable dashboards, alert-quality improvements, and executive-ready operating views.
The Context
Syntryx was an early web-intelligence and OSINT platform built around multi-channel behavioral data. The work predated much of today's language around growth intelligence, graph analytics, and AI-assisted market research, but the underlying problem was familiar: collect messy public data, normalize it, analyze it, and make it useful.
The Challenge
The product had to operate at web scale while still producing customer-facing insight. Crawling billions of pages was only useful if the platform could extract signal from domains, keywords, ads, links, and search-ranking patterns.
What I Did
David led product and engineering while building a PostgreSQL-backed OSINT platform with high-throughput crawling, ingest, ML, NLP, clustering, factor analysis, and graph visualizations. The system connected raw web data to usable intelligence workflows.
- •Led an 11-person product and engineering team responsible for Syntryx platform delivery, customer outcomes, and roadmap execution
- •Built and operated a PostgreSQL-backed OSINT platform containing more than 2B crawled web pages
- •Designed high-throughput crawling and ingest workflows for multi-channel web and behavioral data
- •Applied NLP, machine learning, clustering, and factor analysis to identify relationships across domains, keywords, ads, links, pages, and search-ranking signals
- •Reverse-engineered search-ranking factors by analyzing large-scale web structure, content features, link patterns, and keyword relationships
- •Developed graph visualizations of semantic relationships across web entities, helping customers reason about domains, keywords, ads, links, and topical clusters
- •Translated complex analytics into customer-facing product capabilities for enterprise clients
- •Balanced product management, engineering leadership, customer delivery, analytics design, and revenue-focused roadmap decisions
The Outcome
The Syntryx work became a foundation for David's later security and AI career: large-scale telemetry, schema design, graph thinking, ML-assisted analysis, and evidence-driven storytelling all appear again in SIEM research, Device Cloud analytics, AI automation, and product-security work.
Research Outcomes
Signal Quality
Improved the trustworthiness of operational security signals
Operational Clarity
Translated complex security data into clearer operating views
Stakeholder Visibility
Made technical risk and status easier to explain
Operational Impact
Turned raw telemetry into actionable security intelligence
Capabilities Demonstrated
Executive Reporting
Security data translated for leadership
Telemetry Normalization
Consistent and trusted data
Security Analytics
Signal investigation and event analysis
IAM / Access Control
Identity telemetry and access insights
SIEM Alert Debugging
Noise reduction and signal validation
Dashboard Development
Operational and executive views
Operational Reporting
Actionable views for security operations
Public-Safe Evidence
Shareable insights without sensitive data
Key Deliverables
- •Syntryx OSINT platform roadmap and product strategy
- •High-throughput web crawling and ingest platform
- •PostgreSQL-backed large-scale web intelligence data store
- •NLP and machine-learning analysis workflows
- •Clustering and factor-analysis models for search-ranking and web-signal inference
- •Domain, keyword, ad, and link relationship analysis
- •Semantic graph visualization capabilities
- •Enterprise customer workflows and reporting outputs
Tools & Technologies
Consulting Translation
The reusable pattern is not Disney-specific: normalize fragmented security telemetry, debug low-signal alert behavior, build trusted operating views, and give leadership evidence they can act on without exposing sensitive systems.