Sociomatic is an AI‑powered LinkedIn content assistant for tech/dev communities.
It turns simple briefs (events, launches, updates) into ready‑to‑post LinkedIn content and organizes them in a lightweight schedule.

• Backend: Python, FastAPI, SQLAlchemy/SQLModel, SQLite/PostgreSQL.
• Frontend: React (Vite), TypeScript/JavaScript.
• AI provider (initial): Google Gemini API (text‑only models), abstracted behind an internal AI client so we can swap models later.
• Auth: Email + password (JWT).

• Idea

  • High‑level brief created by the community manager.
  • Example: “Rust Meetup – 25 Jan”, “API v2 Launch”, “Weekly Community Highlights”.
  • Fields: title, description, type, audience, link, tags.

• PostDraft

  • A single LinkedIn‑ready post generated from an Idea and edited by a human.
  • Fields: ideaId, content, tone, scheduledAt, status.

• Schedule

  • The date/time a PostDraft should be published or manually posted.
  • For v0 we support “manual posting” (copy & paste to LinkedIn).

• Idea creation

  • Form to capture event/launch/update details.
  • Required: title, description, type (event, launch, update, education).

• AI generation with Gemini

  • Button: “Generate LinkedIn posts” on an Idea.
  • Backend calls Gemini API to generate 2–3 variants with:
    • A strong 2‑line hook.
    • Clear CTA.
    • 3–6 relevant hashtags.

• Post editing & saving

  • Pick a variant, edit the text, see live character count.
  • Save as PostDraft with status = "draft" or status = "scheduled" and a scheduledAt datetime.

• Schedule view

  • List of posts grouped by date (7‑day view).
  • Columns: time, truncated content, status (draft/scheduled/manual‑posted).

• Manual posting helpers

  • Copy text button (copies content to clipboard).
  • Open LinkedIn button (opens configured LinkedIn page URL).
  • Mark as posted toggle to set status = "manual-posted".

Note: These steps describe the planned setup. The backend and frontend scaffolding will be created next.

• Python 3.10+
• Node.js 18+
• A database (SQLite for local dev is fine)
• Google Gemini API key (e.g., GEMINI_API_KEY)

cd backend
python -m venv .venv
source .venv/bin/activate  # or .venv\Scripts\activate on Windows
pip install -r requirements.txt

cp .env.example .env  # set DB URL and AI API key
uvicorn main:app --reload

cd frontend
npm install
cp .env.example .env  # set API base URL
npm run dev

Then open the frontend URL in your browser (e.g., http://localhost:5173).

• v0.1: LinkedIn API integration for automated posting.
• v0.2: Multi‑workspace support & member invites.
• v0.3: Advanced analytics & insights.
• v0.4: Support for additional platforms (X, Instagram) and media (images, carousels, video).

TBD.