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

24 found

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

Lead generationAIAI lead qualification and nurturing workflow with OpenAIStarts on a clock · 9 stepsEmailPostgresLead generationAIAutomate Instagram influencer lead collection with ApifyStarts on an event in a connected app · 13 stepsPostgresLead generationAILead generation system - Google Maps scraper with OpenAIStarts on someone opening a chat with it · 13 stepsPostgresLead generationAICapture and enrich leads with OpenAI and PostgresStarts on another system calling it · 15 stepsGmailPostgresSalesforceSlackLead generationAIQualify and route real estate leads with OpenAI and PostgreSQLStarts on another system calling it · 18 stepsGmailPostgresSlackTwilioLead generationAIQualify real estate leads with SMS and OpenAIStarts on someone submitting a form · 18 stepsGoogle SheetsPostgresTwilioLead generationAIAutomate event follow-ups with OpenAI and LinkedInStarts on another system calling it · 20 stepsEmailHubSpotPostgresLead generationAILocal Business Lead Discovery and Enrichment Agent with OpenAIStarts on a clock · 20 stepsGmailPostgresLead generationAIQualify LinkedIn AI automation leads with Unipile and OpenAIStarts on a clock · 20 stepsPostgresLead generationAIAI-powered lead generation with Apollo and OpenAIStarts on an incoming Telegram message · 21 stepsApifyPostgresSupabaseTelegramLead generationAIQualify and score real estate leads with WhatsApp and GeminiStarts on an incoming WhatsApp message · 24 stepsPostgresWhatsAppLead generationAIScrape Google Maps by area & generate outreach messagesStarts on someone submitting a form · 27 stepsPostgresLead generationAIScore and route real estate leads with OpenAI and MLSStarts on a clock · 35 stepsEmailPostgresSlackin-memory vectorsLead generationAIRAG Chatbot with Signup AutomationStarts on another system calling it · 38 stepsGoogle DrivePostgresSupabase vectorsLead generationAIAutomate personalized cold email sequences with MailgunStarts on an incoming Telegram message · 84 stepsApifyPostgresSupabaseTelegramLead generationAIComplete B2B sales pipeline: Apollo lead gen, Mailgun outreachStarts on an incoming Telegram message · 96 stepsApifyGmailPostgresSupabaseLead generationAutomated WhatsApp lead nurturing with Postgres and GallaboxStarts on a clock · 7 stepsPostgresLead generationEnrich up to 1500 emails per hour with DropcontactStarts on a clock · 11 stepsPostgresSlackLead generationLinkedIn company data enricher - 100K scale production readyStarts on another system calling it · 16 stepsPostgresLead generationSend cold outreach emails and follow-ups with ResendStarts on another system calling it · 16 stepsHubSpotPostgresLead generationSync Salesforce leads and opportunities to PostgreSQLStarts on a clock · 17 stepsPostgresSalesforceLead generationCapture CTO job leads from LinkedIn with SeamlessStarts on another system calling it · 22 stepsPostgresLead generationEnrich seller data with Bright Data and Google SearchStarts on a clock · 28 stepsPostgresLead generationMulti-Channel Lead Enrichment & Scoring Pipeline with ClearbitStarts on another system calling it · 29 stepsAsanaEmailGoogle CalendarGoogle Sheets

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.