Startup Intelligence Platform

ZYLOX

Track and analyze cybersecurity startups before anyone else. Aggregates 20+ data sources, AI-powered enrichment, and real-time buzz score tracking across social channels.

Explore Features View Data Sources

⚠️ The Problem

→ VCs and corporate dev teams miss emerging cybersecurity startups until it's too late
→ Manual research across dozens of sources is time-consuming and incomplete
→ Funding rounds get announced after competitors already made moves
→ No single platform tracks both stealth startups and market signals
→ Social buzz and technical credibility are hard to quantify

✓ The Solution

→ Automated discovery from 20+ sources including GitHub, LinkedIn, Crunchbase
→ AI enrichment extracts founders, tech stack, and market positioning
→ Real-time alerts when startups hit funding or traction milestones
→ Unified database with full company profiles and contact info
→ Buzz Score algorithm tracks social momentum across channels

Core Capabilities

Intelligence Features

🔍

Automated Discovery

Playwright-powered crawlers scan job boards, GitHub, ProductHunt, and cybersecurity conferences to find emerging startups before they announce.

🤖

AI Enrichment

Claude AI extracts structured data from websites: founders, tech stack, market positioning, competitive landscape, and growth signals.

📊

Buzz Score Tracking

Proprietary algorithm monitors LinkedIn engagement, Twitter mentions, GitHub stars, and media coverage to quantify social momentum.

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Smart Alerts

Get notified when tracked startups hit milestones: funding rounds, key hires, product launches, or sudden buzz spikes.

👥

Founder Intelligence

Track founder backgrounds, previous exits, and network connections. Know who's building before checking their pitch deck.

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Market Mapping

Visual market maps show competitive landscapes, white spaces, and consolidation trends across cybersecurity segments.

"ZYLOX identified three acquisition targets for us months before they appeared on any analyst radar. The Buzz Score algorithm caught early signals we would have completely missed."

— Use case: Corporate M&A Team

Honest Assessment

Ups & Downs

✓ What Works Great

Discovers stealth startups before public announcements
Buzz Score provides early momentum signals
AI enrichment saves hours of manual research
Founder tracking reveals network effects
24-hour update cycle keeps data fresh
Export to CRM for deal pipeline integration

⚠️ Current Limitations

Focus limited to cybersecurity vertical
Some LinkedIn data requires manual verification
Stealth startups with zero footprint are hard to detect
Buzz Score calibration varies by market segment
International coverage still expanding