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.

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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

Content2,26863% call a modelAlerts and monitoring1,74826% call a modelData collection1,72942% call a modelIntegrations1,4530% call a modelLead generation1,41847% call a modelResearch and reporting99467% call a modelAI assistants980100% call a modelScheduling82856% call a modelMoney admin70348% call a modelDocuments and files69938% call a modelChat assistants690100% call a modelCustomer support48571% call a modelE-commerce44134% call a modelCRM38550% call a modelHiring25373% call a modelSetup and learning24611% call a modelStrategy and planning3177% call a model

The library

32 found

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

AI assistantsAIDaily news aggregation with Perplexity AI and MongoDBStarts on a clock · 7 stepsGmailMongoDBAlerts and monitoringAIMonitor supplier risk with Notion and NewsAPIStarts on an event in a connected app · 16 stepsGmailMongoDBNotionSlackContentAIDaily Dermatology Watch: Automating Article SummariesStarts on a clock · 25 stepsMongoDBRSSTelegramResearch and reportingAIAI-powered Telegram news broadcaster with Gemini and MongoDBStarts on a clock · 29 stepsMongoDBRSSTelegramDocuments and filesAIDocument Q&A system with Voyage-Context-3 and MongoDB AtlasStarts on someone opening a chat with it · 43 stepsMongoDBChat assistantsAIBuild a WhatsApp AI shopping bot with Gemini and OpenAIStarts on an incoming WhatsApp message · 70 stepsGoogle DriveGoogle SheetsMongoDBRedisData collectionAppend MongoDB data to Google SheetsStarts on a clock · 3 stepsGoogle SheetsMongoDBDocuments and filesInsert a document in MongoDBStarts on an event in a connected app · 3 stepsMongoDBDocuments and filesInsert document into MongoDBStarts on an event in a connected app · 3 stepsMongoDBData collectionMongo2sheet with Google Sheets and MongoDBStarts on a clock · 3 stepsGoogle SheetsMongoDBData collectionTransfer users from MongoDB to Google SheetsStarts on a clock · 3 stepsGoogle SheetsMongoDBIntegrationsSend personalized emails to customers from MongoDB recordsStarts on an event in a connected app · 4 stepsEmailMongoDBIntegrationsProcess contact form submissions with MongoDBStarts on someone submitting a form · 5 stepsMongoDBIntegrationsCreate a secure MongoDB data retrieval API with HTTPStarts on another system calling it · 7 stepsMongoDBIntegrationsData integration with MongoDBStarts on an event in a connected app · 7 stepsMongoDBAlerts and monitoringAutomated Upwork job alerts with MongoDB and SlackStarts on a clock · 8 stepsMongoDBSlackCRMETL pipeline for text processing with MongoDB and PostgresStarts on a clock · 9 stepsMongoDBPostgresSlackXIntegrationsMeta token auto-refresh with MongoDBStarts on an event in a connected app · 9 stepsMongoDBCRMSend SaaS trial follow-up emails with MongoDB and GmailStarts on a clock · 10 stepsGmailMongoDBE-commerceE-commerce price tracker with ScrapeGraphAI and MongoDBStarts on another system calling it · 11 stepsMongoDBData collectionTikTok Shop data integration with MongoDB and Google SheetsStarts on another system calling it · 11 stepsGoogle SheetsMongoDBIntegrationsUser authentication system with MongoDBStarts on another system calling it · 11 stepsMongoDBResearch and reportingConsolidate data from 5 sources for reporting with SQLStarts on a clock · 14 stepsGoogle SheetsMongoDBPostgresData collectionMigrate large Hugging Face datasets to MongoDBStarts on an event in a connected app · 15 stepsMongoDB

Start small

A few you can read in one sitting

Research and reportingSend daily Mailchimp subscriber reports to SlackWhen a clock · 3 stepsMailchimpSlackAlerts and monitoringAutomate a Tally form: store with Airtable and SlackWhen a clock · 3 stepsAirtableSlackCRMAdd Calendly invitees to HubSpot with SlackWhen an event in a connected app · 3 stepsHubSpotSlackMoney adminStripe purchase email personalizer: Payment + Gmail + SlackWhen an event in a connected app · 3 stepsGmailSlackSchedulingAutomatic event creation in Google CalendarWhen a change in a Google Sheet · 3 stepsGoogle CalendarGoogle SheetsCustomer supportAutomated Customer Service Ticket Creation & NotificationsWhen someone submitting a form · 3 stepsAsanaWhatsAppData collectionAdd Gmail sender contacts to MySQL databaseWhen an arriving email · 3 stepsGmailMySQLDocuments and filesGet an mp4 attachment from Gmail to Google DriveWhen triggered · 3 stepsGmailGoogle DriveE-commerceNotify on Telegram and Twitter when new order is addedWhen an event in a connected app · 3 stepsTelegramX

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.

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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.