• Head over to the Supabase website and sign up if you haven’t already.
• Once you're in, click on "New Project" to get started.
• Fill in the details like Project Name, Password, and pick a database region.
• Hit "Create new project" and wait a bit for it to set up.

• Go to the "Table Editor" on the left menu in your Supabase project.
• Click "New Table."
• Give your table a name, like events.
• Add columns that match your webhook data (e.g., id, event_type, payload).
• For instance:
  • id (type: uuid, is_primary: true, default: gen_random_uuid())
  • event_type (type: text)
  • payload (type: jsonb)
• Click "Save" to create your table.

• Go to the Database section and find "Functions" on the left menu.
• Click "New Function."
• Name your function, maybe send_webhook.
• Under the "SQL" tab, pop in this SQL code:

CREATE OR REPLACE FUNCTION public.send_webhook()
RETURNS trigger AS $$
DECLARE
  response jsonb;
BEGIN
  PERFORM
    SYSTEM('curl -X POST https://your-webhook-url.com/ -H ''Content-Type: application/json'' -d ' || quote_literal(row_to_json(NEW)::text));
  RETURN NEW;
END;
$$ LANGUAGE plpgsql;

• Click "Save" to create the function.

• Still in the Database section, go to the "Triggers" tab.
• Click "New Trigger."
• Fill in the details:
• Table: Select your events table.
• Trigger Name: Something like trigger_send_webhook.
• Timing: Before insert.
• Events: Choose "Insert."
• Trigger Function: Pick send_webhook.
• Click "Create Trigger" to finish up.

• Insert some data into the events table to trigger the webhook.
• Go to the SQL editor and run a query like this:

INSERT INTO public.events (event_type, payload) VALUES 
('user_signup', '{"user_id": "123", "email": "[email protected]"}');

• Check your webhook URL (https://your-webhook-url.com/) to see if it got the HTTP POST request with the event data.

• Use logging tools or services like RequestBin to check incoming webhook requests.
• Tweak the function or trigger settings based on what you find. For more detailed monitoring, you might want to add a logging system in your function.

Remember, live debugging might mean you need to temporarily change your SQL function to store response logs in your database or use other methods that work for your setup.