A multi-modal signal orchestration engine leveraging contextual business embeddings for real-time buyer propensity inference.
lafagafa deploys an autonomous sentinel array across 13+ heterogeneous social data planes — LinkedIn, X, Reddit, YouTube, TikTok, Bluesky, Hacker News, GitHub, DEV, Stack Overflow, Podcasts, Newsletters, and News — executing continuous signal extraction with proprietary contextual business injection. Each signal undergoes multi-dimensional classification: buy propensity, brand resonance, competitive friction, ICP alignment, and switching intent vectors.
System Architecture
Autonomous Business Context Ingestion
Submit your digital footprint for real-time ontological decomposition. Our NLU pipeline extracts your competitive landscape, ideal customer embeddings, and solution-problem mappings in <30s.
Agentic Sentinel Colony Deployment
Autonomous agents execute persistent surveillance across 13+ data planes including LinkedIn, X, Reddit, YouTube, TikTok, Bluesky, Hacker News, GitHub, DEV, Stack Overflow, Podcasts, Newsletters, and News. Signal classification runs against your organizational context space — not generic taxonomies.
Multi-Vector GTM Signal Delivery
Revenue signals route to Slack, email, and CRM connectors for pipeline acceleration. Brand resonance events, share-of-voice metrics, and competitive sentiment trajectories surface in the intelligence dashboard for marketing operations. One unified signal layer — heterogeneous GTM function outputs.
Request Early Access to the Intelligence Layer.
Submit your digital footprint and communication endpoint for priority provisioning. Early cohort members receive 30 days of unrestricted signal processing capacity.
Zero-friction onboarding. No credit card tokenization.
No synchronous calendar alignment required.