Automation library · Research and reporting

Track Facebook mention sentiment with Gemini and Supabase

Started by an event in a connected app, and works across Slack, Supabase and Telegram. It hands the judgement calls to Gemini. 10 steps, 2 branches: a working afternoon to understand properly.

MediumCalls a model: Gemini

10 stepsMedium: a working afternoon
2Branches: places the flow splits
0Loops or waits
3Services it connects to

The flow

Starts it 1Model 1Logic 4Service 4

The steps in the order they run, from what starts it.

  1. 1Facebook Mention ReceivedFacebook triggerStarts it
  2. 2Sentiment & Topic AnalysisGoogle GeminiModel
  3. 3Clean AI ResponseCodeLogic
  4. 4 Store Mention (Supabase)SupabaseService
  5. 5Is Positive Sentiment?IfLogic
  6. 6Keyword & Critical DetectionCodeLogic
  7. 7Storage Failure (Telegram)TelegramService
  8. 8Telegram (Positive Mention)TelegramService
  9. 9Is Critical or Negative?IfLogic
  10. 10Slack (Critical Mention)SlackService

How it's built

Starts on
An event in a connected app
Steps
10, with 2 branches
Size
Medium: a working afternoon
Connects to
Slack, Supabase, Telegram
Model
Gemini

Questions

What does it need to run?

An n8n account, plus your own Slack, Supabase and Telegram accounts, and a key for Gemini. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an event in a connected app.

Does it use AI?

Yes. It calls Gemini. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 10 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

Before you run it

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 10 steps before you point it at anything that matters.