Automations, described by what they do

15,351 working automation workflows. Every description is composed from the workflow's own steps: what starts it, which services it touches, whether it hands judgement to a model, and how much there is to read.

Browse the libraryBrowse by job

Cleaned of credentials and personal data. Ready to import.

Running now3 steps

Send daily Mailchimp subscriber reports to Slack

Waiting for a trigger
Workflows15,351working automations
Call a model7,615hand a step to AI
Services60apps they connect
Small5,286readable in one sitting

What they're for

17 kinds of job

The library

217 found

AllContentAlerts and monitoringData collectionIntegrationsLead generationResearch and reportingAI assistantsSchedulingMoney adminDocuments and filesChat assistantsCustomer supportE-commerceCRMHiringSetup and learningStrategy and planningSupabase ✕

Chat assistantsAIQuick expense logging in a database with GeminiStarts on an incoming Telegram message · 5 stepsSupabaseTelegramContentAIStore chat data in Supabase PostgreSQL for WhatsApp/Slack chatbotStarts on an event in a connected app · 6 stepsSupabaseResearch and reportingAIClone and generate voice narrations with Gemini and OpenAI TTSStarts on someone submitting a form · 7 stepsEmailSupabaseData collectionAIMerge two photos with Gemini and Banana AIStarts on someone submitting a form · 7 stepsEmailSupabaseContentAITutor English chat messages with OpenRouter and PostgresStarts on another system calling it · 7 stepsSupabaseChat assistantsAIAI Telegram chatbot: user registration check with OpenRouterStarts on an incoming Telegram message · 8 stepsSupabaseTelegramData collectionAIExtract email tasks with Gmail and OpenAIStarts on a clock · 8 stepsGmailSupabaseData collectionAIA/B test AI prompts with Supabase and Langchain AgentStarts on someone opening a chat with it · 9 stepsSupabaseSchedulingAIAI agent for realtime insights on meetings with OpenAIStarts on another system calling it · 9 stepsPostgresSupabaseCustomer supportAIAI-powered email support router with Gmail and OpenAIStarts on an arriving email · 9 stepsGmailSlackSupabaseLead generationAIClassify lead sentiment with Gemini and TypeformStarts on another system calling it · 9 stepsSupabaseWhatsAppCustomer supportAICreate an intelligent FAQ Telegram bot with GeminiStarts on an incoming Telegram message · 9 stepsSupabaseTelegramResearch and reportingAIModerate Facebook comments with TelegramStarts on a clock · 9 stepsSlackSupabaseTelegramLead generationAIQualify WhatsApp real estate leads with Gemini and SupabaseStarts on an incoming WhatsApp message · 9 stepsSupabaseWhatsAppData collectionAISplit test different agent prompts with Supabase and OpenAIStarts on someone opening a chat with it · 9 stepsSupabaseCRMAIAutomated RAG Pipeline: Google Drive to Supabase Vector StoreStarts on an event in a connected app · 10 stepsGoogle DriveSupabaseSupabase vectorsCustomer supportAIDraft personalized Outlook support email repliesStarts on an event in a connected app · 10 stepsGoogle SheetsOutlookSupabaseSupabase vectorsAlerts and monitoringAIEC competitor monitoring watchdog with OpenAI and SlackStarts on a clock · 10 stepsSlackSupabaseResearch and reportingAITrack Facebook mention sentiment with Gemini and SupabaseStarts on an event in a connected app · 10 stepsSlackSupabaseTelegramMoney adminAIAutomated revenue predictions from Stripe data with OpenAIStarts on a clock · 11 stepsGoogle SheetsPineconeStripeSupabaseData collectionAICreate literary English/German to Chinese dictionaryStarts on another system calling it · 11 stepsSupabaseAlerts and monitoringAIForecast Zoho CRM deals with AlphaVantage and OpenAIStarts on a clock · 11 stepsSlackSupabaseChat assistantsAIRAG chatbot with Supabase and TogetherAIStarts on an incoming Telegram message · 11 stepsGoogle DocsSupabaseTelegramChat assistantsAIRoute WhatsApp home-service requests by urgency with GroqStarts on an incoming WhatsApp message · 11 stepsGoogle SheetsSupabaseWhatsApp

Start small

A few you can read in one sitting

What we took out

Cleaned before anything was stored

These files carry more of whoever built them than is obvious. All of it is stripped, and every file was checked, not sampled. Where an author left a live document behind, it is replaced with the placeholder the careful ones used, so you can still see what belongs there.

Triggers

What starts them

  1. A clock4,166
  2. An event in a connected app3,946
  3. Another system calling it2,801
  4. An arriving email1,591
  5. Someone submitting a form1,545
  6. Someone opening a chat with it895
  7. A change in a Google Sheet216

Services

What they touch

Google Sheets5,229Gmail3,419Slack2,307Telegram1,809Google Drive1,540Email863Airtable554Google Calendar480Notion471RSS404Postgres306WhatsApp285

Read the workflows

Filter 15,351 automations by what they do, what they connect to and how big they are, and open the definition itself, ready to import.

Q&A

What are these?

Working automations: the definition of each, ready to import, with a description composed from its own steps.

Why are some descriptions unflattering?

Because they say what the workflow does. One that is four steps and a webhook is described as four steps and a webhook, so you can decide from the page whether it is worth your afternoon.

What was removed from the files?

Instance identifiers, canvas notes with personal links and email addresses, saved credential names, and live documents left in by their authors. Every file was checked, not sampled.

What do I need to run them?

A workflow automation tool that imports these definitions. Each imports as it is; you add your own credentials.