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Case study

Instagram Autoposter Engine

Content-automation platform with human review

Full-Stack Developer2026
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At a glance/ summary
Problem
Consistent social publishing is repetitive and time-consuming, but fully automated posting is risky. The goal was to automate the busywork while keeping human judgment on final approval.
My role
Full-Stack Developer
Outcome
A working idea-to-publish pipeline with human approval built into the flow.

Overview

A content-automation platform that drafts, schedules, and publishes Instagram posts, keeping a human in the loop before anything goes live.

Role & ownership

Full-stack developer — backend API, frontend, data model, and third-party integrations.

Technical approach

A FastAPI backend with SQLModel/SQLite handles generation, scheduling, and state. A Next.js/TypeScript frontend provides review and control. OpenAI drafts content, Wikimedia supplies media, and the Instagram Graph API publishes — with explicit human review gates before anything is posted.

Key decisions

  • Human review gates before publishing, so automation never posts unattended
  • FastAPI + SQLModel for a typed, lightweight backend
  • Scheduled generation and publishing decoupled from review

Stack

FastAPINext.jsTypeScriptSQLModel / SQLiteOpenAI APIInstagram Graph API