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INFYNICENGINEERING

LeadFlow OS

End-to-End Inbound Lead Engine & Pipeline Automation

A centralized lead distribution, qualification, and routing operating system engineered for high-volume sales organizations and agencies.

OWNERSHIP / CLIENT

Infynic Product (Owned IP)

PRIMARY SERVICE

CRM & Business Systems

DEPLOYMENT STATUS

Active

DELIVERABLES SCOPE

4 Core Systems Delivered

Core Stack:Next.jsTypeScriptPostgreSQLRedisTailwind CSS
Codebase Integrity Verified
B2B Sales Intelligence & CRM
Production Verified
B2B Sales Intelligence & CRM
Active Pipeline: $284,600 / mo
01 / Problem & Constraints

Fragmented Inbound Channels & High-Latency Distribution

High-velocity sales organizations receive prospects from disparate sources—custom landing pages, form embeds, paid campaigns, and partner webhooks. Without a centralized orchestration layer, incoming leads suffer from duplicate entries, lost attribution data, and high latency before reaching an active sales representative.

Constraint 01

Inconsistent webhook payloads causing parsing errors and missing contact fields

Constraint 02

Duplicate contact records polluting CRM instances and causing overlapping sales outreach

Constraint 03

Uncontrolled lead distribution resulting in rep overload and slow response times

Constraint 04

Zero unified audit trail to verify when a lead was received, scored, and dispatched

02 / Architectural Approach

Event-Driven Ingestion Pipeline with Deterministic Routing

Infynic designed LeadFlow OS around an event-driven queue architecture. Every incoming lead payload is immediately validated against JSON schemas, stamped with an immutable idempotency key, deduplicated against historical records, scored via custom business rules, and queued for atomic dispatch to downstream CRM endpoints.

SYSTEM EXECUTION FLOW
Multi-Source Webhook Ingestion → Queue Normalization → Scoring Engine → CRM Dispatch
[01]

INGESTION & VALIDATION

Edge webhooks receive raw payloads, validate signatures, and verify JSON Schema constraints.

[02]

DEDUPLICATION & MERGE

Redis-backed hashing identifies existing contacts by email, phone, or corporate domain.

[03]

SCORING & QUALIFICATION

Rule engine evaluates demographic, firmographic, and behavioral signals into an actionable score.

[04]

DISPATCH & SYNC

Round-robin assignment routes qualified leads to sales reps with bi-directional CRM sync.

Key Architectural Decisions & Rationale

DECISION 01

Redis-Backed BullMQ Queue System

Buffers high-burst traffic surges during active marketing campaigns without overwhelming downstream third-party CRM API rate limits.

DECISION 02

PostgreSQL with Row-Level Deduplication Constraints

Guarantees relational data integrity and deterministic deduplication without risking data race conditions.

DECISION 03

Schema-Driven Webhook Adapters

Allows new marketing form providers and webhook sources to be configured dynamically without requiring core application redeployments.

03 / Engineering Scope

Core Engineering Modules Built

Detailed technical components developed, configured, and hardened for production deployment.

MODULE // 01PRODUCTION READY

Dynamic Webhook Ingestion Router

High-throughput HTTP ingestion service capable of processing diverse payload structures.

Underlying Mechanics:

Validates HMAC signatures, unpacks nested JSON payloads, and maps raw parameters into standardized contact entities.

MODULE // 02PRODUCTION READY

Deterministic Deduplication Matrix

Multi-parameter matching algorithm to prevent duplicate record proliferation.

Underlying Mechanics:

Combines normalized email hashing, E.164 phone formatting, and corporate domain heuristics with merge policies.

MODULE // 03PRODUCTION READY

Weighted Lead Scoring Engine

Configurable qualification framework assessing lead value before distribution.

Underlying Mechanics:

Evaluates lead attributes against customizable criteria tables to output priority classifications (P1, P2, P3).

MODULE // 04PRODUCTION READY

Bi-Directional CRM Sync Worker

Asynchronous integration worker maintaining consistent state with external CRMs.

Underlying Mechanics:

Utilizes exponential backoff retries, rate-limit awareness, and webhook receivers to sync deal stages back to LeadFlow.

04 / Technology Stack

Technology Stack Deep Dive

Technologies selected according to domain constraints, operational throughput, and long-term maintainability.

Frontend & UI

Next.js (App Router)Server-side rendering and responsive operator interface
TypeScriptStrict compile-time typing for lead payloads and form states
Tailwind CSSDesign token implementation with high-density tabular views

Backend & Queuing

Node.js RuntimesAsynchronous webhook handlers and background queue workers
BullMQ & RedisJob queuing, rate-limit throttling, and retry orchestration
ZodRuntime schema validation for incoming webhook payloads

Database & Storage

PostgreSQLPrimary relational storage for contacts, audit logs, and routing rules
Prisma ORMType-safe database queries and automated migration management

Integrations & Infra

HubSpot / Salesforce APIsOutbound sync endpoints for qualified pipeline handoff
DockerContainerized deployment for reproducible development and production parity
05 / Deliverables Verification

Verifiable Engineering Deliverables

Engineering outcomes verified by code deliverables, deployment logs, and architectural benchmarks.

Strict Zero-Fabrication Standard
Deliverable Verified // 01

Production-tested event ingestion pipeline processing multi-channel webhooks with zero payload loss

Deliverable Verified // 02

Deterministic contact deduplication eliminating redundant contact records across connected systems

Deliverable Verified // 03

Guaranteed delivery retry queues with exponential backoff handling third-party API rate-limiting

Deliverable Verified // 04

Immutable audit log capturing complete lifecycle timestamps from receipt to CRM assignment

No fabricated percentage claims or vanity metrics.Architecture verified by Infynic Engineering
06 / Related Architecture References
Back to All Work
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