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Case study

ChainReach.ai

Developed frontend modules for a creator-brand platform with multi-role workflows for brands, creators, and admin users.

My role
Frontend Developer
Timeline
Jan 2026 - Present
Status
Live Product

What did I build for ChainReach.ai?

I built frontend workflows for brands, creators, and administrators on ChainReach.ai: dashboards, campaign creation and acceptance, negotiation screens, AI-assisted campaign generation, and chat. I connected these interfaces to backend APIs using Next.js, TypeScript, and Tailwind CSS. Dashboard access depends on the user's account and role.

ChainReach.ai - Creator and Brand Campaign Platform preview
A large-scale creator-brand platform with dashboards, campaign flows, negotiation, and AI-assisted creation.

The brief

Next.jsTypeScriptTailwind CSS

The platform needed clean frontend workflows for brands, creators, and admins while connecting campaign modules with backend APIs.

ChainReach.ai is a creator and brand campaign platform with multi-role product surfaces. The frontend work covered dashboards, campaign creation, creator acceptance flows, negotiation screens, AI-assisted campaign generation, and global AI chat UI.

For similar work, explore Frontend Development.

Planning a similar build? Read SaaS Dashboard Development: What to Scope Before Hiring a React Developer.

Planning a similar build? Read Why UI/UX Should Come Before a Website Rebuild.

What I delivered

  • Developed frontend for brand, creator, and admin workflows.
  • Developed responsive dashboards and campaign creation flows.
  • Developed creator campaign acceptance flows and negotiation screens.
  • Implemented AI-assisted campaign generation interfaces.
  • Implemented global AI chat UI and connected frontend modules with backend APIs.

How it was built

  • Used Next.js, TypeScript, and Tailwind CSS for a reusable component-based frontend architecture.
  • Connected frontend modules with backend APIs while keeping the UI system clean and maintainable.
  • Used reusable UI systems, custom components, code splitting, Git workflows, and feedback-based product iteration.
  • Handled the platform as a multi-role workflow system instead of a set of isolated pages.

Challenges & decisions

Multi-role product complexity

Brands, creators, and admins each needed separate workflows inside one platform.

I structured the frontend around reusable components and workflow-specific surfaces so each role could move through the product clearly.

Campaign and negotiation depth

The platform needed campaign creation, acceptance, and negotiation screens without becoming messy.

I built dedicated campaign flows and negotiation interfaces, then iterated with product feedback to keep the UI practical.

AI modules inside product UI

AI-assisted campaign generation and global AI chat needed to feel integrated, not bolted on.

I connected the AI interfaces with backend APIs and kept them inside the same reusable frontend system as the rest of the product.

Product features

  • Brand dashboards
  • Creator workflows
  • Campaign creation
  • Negotiation screens
  • AI-assisted campaign generation
  • Global AI chat UI

Outcomes

  • Delivered frontend surfaces for a live creator-brand platform.
  • Supported brand, creator, and admin workflows.
  • Developed AI-assisted generation, global chat, campaign flows, dashboards, and negotiation screens.

More of my work

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