💬 Messaging & ChatbotsSimple● Active

NO-SHOW

A 13-step messaging & chatbots automation, triggered by schedule, connecting PostgreSQL, Supabase, Telegram.

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💡

What this does for your business

In plain terms: this answers your customers automatically. It replies on a set schedule (e.g. daily) on PostgreSQL, Supabase, Telegram, handling questions 24/7 so no lead waits.

13
Nodes
3
Integrations
12
Connections
Schedule
Trigger

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🏗️ Architecture diagram

The real node graph exported from n8n — triggers (green), AI nodes (violet), services and logic — laid out as they run.

Schedule TriggerscheduleTrigger🐘Mark No-ShowspostgresIfifLoop Over ItemssplitInBatches1 hourscheduleTriggerNo OperationnoOp🐘update_reminderspostgresCreate a rowsupabase✈️notify_ownertelegramitems > 0ifiteratesplitInBatches✈️Send Follow-uptelegram🐘get_no showspostgres

⚙️ How it works

  1. Schedule Trigger · scheduleTrigger
  2. 1 hour · scheduleTrigger
  3. Create a row · supabase
  4. Mark No-Shows · postgres
  5. get_no shows · postgres
  6. If · if
  7. items > 0 · if
  8. Loop Over Items · splitInBatches
  9. iterate · splitInBatches
  10. No Operation · noOp
  11. notify_owner · telegram
  12. Send Follow-up · telegram
  13. update_reminders · postgres

💼 Business analysis

🎯

Business use case

A conversational assistant on PostgreSQL, Supabase, Telegram that answers customers 24/7, qualifies enquiries and hands off when needed — cutting first-response time to seconds.

📈

Market need

Customers expect instant replies on the channels they already use. 24/7 automated response lifts conversion and slashes support cost.

💰

Market value

Chatbot/support-automation products sell for $50–$500/mo per business; this is the engine behind them.

🧩 Integrations & stack

🐘PostgreSQLSupabase✈️Telegram
Node typesscheduleTrigger, postgres, if, splitInBatches, noOp, supabase, telegramWorkflow IDEBMaRBAFrQi5HSck
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