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AI agents that prospect, enrich and write outbound. I build the surfaces sales teams drive them from.

Client
RevenueGrids
Role
Frontend Engineer
Year
2026
Stack
Next.js, React, TypeScript, Tailwind CSS

revgrids.com: agentic AI for modern sales teams.

Overview

RevenueGrids is an AI-native outbound sales platform — agent workflows, prospecting, enrichment, and multi-channel outreach in one product surface.

01

The problem

The product moves fast: new agent capabilities ship weekly, data density is high, and sales teams need clarity under load. The frontend had to stay maintainable while supporting rich, stateful UI without sacrificing performance.

02

The approach

I focused on composable feature modules, predictable data-fetch patterns, and UI that scales from empty states to dense operational dashboards. Performance budgets were treated as a product requirement, not a late audit.

0Product modules
Core UIOwnership
0–5Team size
WeeklyShip cadence
What I did
  • Built core product UI in Next.js and React with TypeScript-first patterns
  • Structured feature areas for agent workflows, prospecting, and outreach tooling
  • Improved perceived performance with intentional loading states and layout stability
  • Partnered on design system usage so new surfaces stayed visually consistent
What shipped
  • AI agent workflow builder and run monitoring
  • Prospect search, enrichment, and list management
  • Multi-channel outreach sequences (email + LinkedIn)
  • Campaign analytics and pipeline dashboards
  • Team workspace with role-based views
Outcome

Shipped production UI for a fast-moving AI sales platform with a frontend architecture that supports iteration without accumulating layout or state debt.

Next.jsReactTypeScriptTailwind CSS
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