LinkedIn Growth OS
LinkedIn-first growth platform converting activity into prioritized pipeline with AI-assisted engagement.
From problem to production.
The Challenge
Most LinkedIn outbound workflows are fragmented: targeting lives in spreadsheets, signals are noticed too late, draft quality is inconsistent, and teams either over-automate (risk) or under-scale (manual effort).
The Challenge
Most LinkedIn outbound workflows are fragmented: targeting lives in spreadsheets, signals are noticed too late, draft quality is inconsistent, and teams either over-automate (risk) or under-scale (manual effort).
Our Approach
We built an end-to-end LinkedIn operating system with persona wizards, AI-powered shortlist generation, real-time signal capture and intent scoring, engagement draft generation with style constraints, and safety controls including approval gates, suppression lists, and cooldown windows.
Our Approach
We built an end-to-end LinkedIn operating system with persona wizards, AI-powered shortlist generation, real-time signal capture and intent scoring, engagement draft generation with style constraints, and safety controls including approval gates, suppression lists, and cooldown windows.
The Result
Delivered a full monorepo platform with a Next.js web dashboard, Chrome extension with inline LinkedIn actions, BullMQ async workers, and MongoDB workspace-scoped data all connected through shared type contracts and explainable AI scoring pipelines.
The Result
Delivered a full monorepo platform with a Next.js web dashboard, Chrome extension with inline LinkedIn actions, BullMQ async workers, and MongoDB workspace-scoped data all connected through shared type contracts and explainable AI scoring pipelines.
What we built.
Persona wizard with AI-powered targeting suggestions
Intent scoring with weighted signals and recency decay
Engagement copilot with context-aware draft generation
Chrome extension with inline LinkedIn page actions
Approval-first execution with suppression and cooldowns
Workspace-scoped multi-tenant architecture
BullMQ async processing for signal and scoring pipelines
Explainable scoring with driver breakdown and evidence gating
Built with.
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