All work

Sociaboost: AI built into a multi-client social media SaaS

A SaaS where brands and agencies plan, generate and schedule social content across many clients and accounts — with AI built into the workflow.

Context
Audasoft Technologies — Sociaboost
My role
Full-stack developer
Period
2024 — present
Visit product

The challenge

Agencies and brands manage many clients and social accounts at once. Planning, writing, reviewing and scheduling posts across all of them by hand is slow and hard to keep consistent.

The product needed to keep many clients and accounts organized in one workspace — and to make AI part of the content workflow itself, not a separate tool people copy and paste from.

The system

Sociaboost is a social media management platform: one workspace to create, schedule, publish, collaborate on and analyze content across platforms. It has since expanded into an "AI Growth Team" — agents for content, SEO, community replies and sales.

What I built

  • Core features for creating, scheduling and managing posts across multiple clients and accounts
  • OpenAI-powered content generation and writing assistance inside the post workflow
  • State management for complex multi-account workflows with Redux Toolkit
  • A reusable UI system with Chakra UI and Tailwind CSS on a modular front-end architecture
  • Product features across React, Next.js and Go

How it works

  1. 1WorkspaceAn agency picks a client and its connected social accounts.
  2. 2CreateA post is drafted — AI generates or rewrites content on request.
  3. 3PreviewContent is previewed per platform before it's scheduled.
  4. 4SchedulePosts land on the content calendar for each account.
  5. 5PublishThe platform publishes to the connected networks on time.

Technologies

Frontend
ReactNext.jsRedux ToolkitChakra UITailwind CSS
Backend
Go
AI
OpenAI API

Outcome

  • Agencies run content for many clients and accounts from one place instead of juggling separate tools.
  • AI writing sits exactly where content is created, so drafting and rewriting happen inside the workflow.
  • The modular architecture gave the product room to grow — it has since evolved toward a team of AI agents.

Have a workflow like this?

Tell me what's slowing your team down. I'll tell you honestly what can be automated — and how.

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