Funnel Function Institute

The Mathematical Architecture of Commercial Attention

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FunnelFunction Engine

Business Discovery Platform Β· ITT Architecture

A business discovery and outreach engine built with semantic completeness, three-phase execution, and extensible data collection engines. The full lead generation stack.

Architecture

Intent Tensor Theory Compliant

βœ“ Ghostless Coding

Every filename semantically complete. Zero ambiguity.

βœ“ ISA Prefixes

Platform prefixes on all adapters: supabase_, gemini_, react_

βœ“ Writables Doctrine

Single-stream data pipelines. No unnecessary renaming.

βœ“ PRE-X MetaMapping

Three-phase execution with full audit logging.

PRE-X MetaMapping Execution

Phase 1

Pre-Veil

Intent definition. Validators, extractors, decision trees.

Phase 2

Veil

Decision lock. State managers, React hooks, lock points.

Phase 3

Post-Veil

Observable execution. React components, UI rendering.

Extensible Data Engines

Gemini AI
Active β€” Google Search grounding
Google Places
Ready β€” Template configured
ScraperBee
Ready β€” Web scraping
Hunter.io
Ready β€” Email discovery

Engine Orchestrator provides priority-based fallback across all sources.

Features

Hierarchical Location

4-level tree: State β†’ County β†’ City β†’ Zip. Multi-select with parent/child propagation.

Category Search

Search any business category. Results grouped in accordion with bulk operations.

Background Scraping

Non-blocking email extraction. Results populate as they’re found.

Snapshot System

Save search results with metadata. Load, delete, export saved snapshots.

Folder Structure

0.0_funnelfunction_app/
β”œβ”€β”€ 0.3_Engines_Data_Collection/ # Extensible search engines
β”œβ”€β”€ 0.4_Platform_Adapters/ # Supabase, LocalStorage
β”œβ”€β”€ 0.5_Type_Definitions/ # TypeScript contracts
β”œβ”€β”€ 0.6_PreVeil_Intent/ # Validators, extractors
β”œβ”€β”€ 0.7_Veil_Decision_Lock/ # State managers (hooks)
└── 0.8_PostVeil_Execution/ # React components
Launch FunnelFunction Engine β†’

Funnel Function

The Mathematical Architecture of Commercial Attention

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